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<title>Jat Ai News &amp; Unveiling the Future of Intelligence &amp; : Tools</title>
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<description>Jat Ai News &amp; Unveiling the Future of Intelligence &amp; : Tools</description>
<dc:language>en</dc:language>
<dc:rights>Copyright 2024 Jat Link Limited &amp; All Rights Reserved.</dc:rights>

<item>
<title>Ten advances in mathematics and theoretical computer science</title>
<link>https://news.jatlink.uk/17426</link>
<guid>https://news.jatlink.uk/17426</guid>
<description><![CDATA[ OpenAI shares new results on long-standing open problems in mathematics and theoretical computer science, including advances in geometry, cryptography, and complexity. ]]></description>
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<pubDate>Sat, 01 Aug 2026 10:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Ten, advances, mathematics, and, theoretical, computer, science</media:keywords>
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<item>
<title>Deploying Kimi K3 on Amazon SageMaker HyperPod and Amazon EKS</title>
<link>https://news.jatlink.uk/17395</link>
<guid>https://news.jatlink.uk/17395</guid>
<description><![CDATA[ This post walks through deploying Kimi K3 on AWS using two approaches: Amazon SageMaker HyperPod, and  Amazon Elastic Kubernetes Service (Amazon EKS) cluster. ]]></description>
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<pubDate>Fri, 31 Jul 2026 23:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Deploying, Kimi, Amazon, SageMaker, HyperPod, and, Amazon, EKS</media:keywords>
</item>

<item>
<title>Announcing the Agentic Catalog Experience in Amazon Quick</title>
<link>https://news.jatlink.uk/17394</link>
<guid>https://news.jatlink.uk/17394</guid>
<description><![CDATA[ Amazon Quick introduces the Agentic Catalog Experience, an AI-powered workflow for data curators to discover upstream catalog assets in natural language and auto-create Datasets and Topics with inherited semantics. Now in preview for AWS Glue Data Catalog and Databricks Unity Catalog. ]]></description>
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<pubDate>Fri, 31 Jul 2026 23:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Announcing, the, Agentic, Catalog, Experience, Amazon, Quick</media:keywords>
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<item>
<title>Optimizing production agents with Amazon Bedrock AgentCore Observability</title>
<link>https://news.jatlink.uk/17382</link>
<guid>https://news.jatlink.uk/17382</guid>
<description><![CDATA[ As your AI agents move from prototype to production, the challenge shifts from getting them to work to keeping them fast and efficient. Learn how to use Amazon Bedrock AgentCore Observability and Amazon CloudWatch to find performance bottlenecks and diagnose memory issues in long-running agent sessions. ]]></description>
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<pubDate>Fri, 31 Jul 2026 19:00:04 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Optimizing, production, agents, with, Amazon, Bedrock, AgentCore, Observability</media:keywords>
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<item>
<title>Disrupting a Criminal Scam Operation</title>
<link>https://news.jatlink.uk/17380</link>
<guid>https://news.jatlink.uk/17380</guid>
<description><![CDATA[ OpenAI disrupted a Cambodia-based scam operation using ChatGPT to support investment, romance, gambling, and impersonation schemes. ]]></description>
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<pubDate>Fri, 31 Jul 2026 18:00:18 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Disrupting, Criminal, Scam, Operation</media:keywords>
</item>

<item>
<title>Building abundant intelligence</title>
<link>https://news.jatlink.uk/17381</link>
<guid>https://news.jatlink.uk/17381</guid>
<description><![CDATA[ A full-stack approach to making advanced AI more capable, more affordable, and more widely useful. ]]></description>
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<pubDate>Fri, 31 Jul 2026 18:00:18 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, abundant, intelligence</media:keywords>
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<item>
<title>Univé builds an AI&amp;ready workforce</title>
<link>https://news.jatlink.uk/17346</link>
<guid>https://news.jatlink.uk/17346</guid>
<description><![CDATA[ See how Univé built an AI-ready workforce with ChatGPT Enterprise by combining leadership, responsible governance, and employee-led innovation to transform work at scale. ]]></description>
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<pubDate>Fri, 31 Jul 2026 11:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Univé, builds, AI-ready, workforce</media:keywords>
</item>

<item>
<title>Advancing responsible AI across Europe</title>
<link>https://news.jatlink.uk/17345</link>
<guid>https://news.jatlink.uk/17345</guid>
<description><![CDATA[ OpenAI shares how its safety, security, transparency, and provenance practices support responsible AI governance in Europe. The work will continue as the EU AI Act advances. ]]></description>
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<pubDate>Fri, 31 Jul 2026 10:00:35 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Advancing, responsible, across, Europe</media:keywords>
</item>

<item>
<title>How avatarin built a 24/7 retail agent with GPT&amp;Realtime</title>
<link>https://news.jatlink.uk/17314</link>
<guid>https://news.jatlink.uk/17314</guid>
<description><![CDATA[ avatarin uses OpenAI’s GPT-Realtime to give Yamada Denki shoppers 24/7 multilingual support. In two weeks, 30,000 people used the agent and 92% of survey responses were positive. ]]></description>
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<pubDate>Fri, 31 Jul 2026 03:00:04 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, avatarin, built, 247, retail, agent, with, GPT-Realtime</media:keywords>
</item>

<item>
<title>Migrate your prompts to new models and optimize them on Amazon Bedrock</title>
<link>https://news.jatlink.uk/17283</link>
<guid>https://news.jatlink.uk/17283</guid>
<description><![CDATA[ Amazon Bedrock Advanced Prompt Optimization optimizes your prompts for up to 5 models at once and compares original versus optimized performance across quality, latency, and cost. Migrate to a new model or improve your current one in minutes instead of weeks. ]]></description>
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<pubDate>Thu, 30 Jul 2026 19:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Migrate, your, prompts, new, models, and, optimize, them, Amazon, Bedrock</media:keywords>
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<item>
<title>How Yahoo enhances search retargeting using Amazon Bedrock</title>
<link>https://news.jatlink.uk/17280</link>
<guid>https://news.jatlink.uk/17280</guid>
<description><![CDATA[ In this post, we demonstrate how Yahoo implemented Amazon Bedrock to enhance their Search Retargeting (SRT) capabilities in the Yahoo DSP ad tech suite. SRT is a core audience targeting solution that helps advertisers reach users based on their historical search behavior, bridging search intent with display, video, and native advertising. Beyond targeting keywords entered on Yahoo Search, SRT uses AI to identify and engage users who demonstrate intent through search activity both on Yahoo and across integrated partner systems. ]]></description>
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<pubDate>Thu, 30 Jul 2026 19:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Yahoo, enhances, search, retargeting, using, Amazon, Bedrock</media:keywords>
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<item>
<title>Inference meta&amp;monitoring for Amazon SageMaker AI endpoints with Amazon Quick</title>
<link>https://news.jatlink.uk/17281</link>
<guid>https://news.jatlink.uk/17281</guid>
<description><![CDATA[ Learn how to build an inference meta-monitoring system for Amazon SageMaker AI endpoints using Amazon Quick. This governance layer sits above production ML inference pipelines to continuously track prediction and data quality, detect drift, integrate delayed ground truth, and surface automated performance dashboards. ]]></description>
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<pubDate>Thu, 30 Jul 2026 19:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Inference, meta-monitoring, for, Amazon, SageMaker, endpoints, with, Amazon, Quick</media:keywords>
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<item>
<title>Introducing explicit prompt caching for OpenAI GPT&amp;5.6 models on Amazon Bedrock</title>
<link>https://news.jatlink.uk/17282</link>
<guid>https://news.jatlink.uk/17282</guid>
<description><![CDATA[ OpenAI GPT-5.6 Sol, Terra, and Luna are now generally available on Amazon Bedrock, along with explicit prompt caching that gives you precise control over which parts of your prompt are cached and reused. Learn how to get started, set up explicit caching, and migrate existing GPT workloads to reduce inference cost. ]]></description>
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<pubDate>Thu, 30 Jul 2026 19:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, explicit, prompt, caching, for, OpenAI, GPT-5.6, models, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Advancing the price&amp;performance frontier with GPT&amp;5.6</title>
<link>https://news.jatlink.uk/17278</link>
<guid>https://news.jatlink.uk/17278</guid>
<description><![CDATA[ Explore lower GPT‑5.6 pricing for Luna and Terra—and how OpenAI’s more efficient models help enterprises deploy AI workflows at scale. ]]></description>
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<pubDate>Thu, 30 Jul 2026 19:00:04 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Advancing, the, price-performance, frontier, with, GPT-5.6</media:keywords>
</item>

<item>
<title>Deploying Kimi K3 on AWS</title>
<link>https://news.jatlink.uk/17279</link>
<guid>https://news.jatlink.uk/17279</guid>
<description><![CDATA[ This post walks through deploying Kimi K3 on AWS using two approaches: Amazon SageMaker HyperPod, and  Amazon Elastic Kubernetes Service (Amazon EKS) cluster. ]]></description>
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<pubDate>Thu, 30 Jul 2026 19:00:04 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Deploying, Kimi, AWS</media:keywords>
</item>

<item>
<title>Best in Class: Stream PC Games and Study on the Same Laptop With GeForce NOW</title>
<link>https://news.jatlink.uk/17262</link>
<guid>https://news.jatlink.uk/17262</guid>
<description><![CDATA[ Back to school means balancing assignments, deadlines and downtime. GeForce NOW makes it easy to have it all. With cloud gaming, everyday laptops used for class can also become GeForce RTX-powered gaming setups.  When it’s time to switch from studying to gaming, members can jump into Halo: Campaign Evolved, as GeForce NOW is bringing one […] ]]></description>
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<pubDate>Thu, 30 Jul 2026 16:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Best, Class:, Stream, Games, and, Study, the, Same, Laptop, With, GeForce, NOW</media:keywords>
</item>

<item>
<title>How enabling two settings tripled our scores on the ARC&amp;AGI&amp;3 benchmark</title>
<link>https://news.jatlink.uk/17213</link>
<guid>https://news.jatlink.uk/17213</guid>
<description><![CDATA[ How two API settings improved GPT-5.6 performance on ARC-AGI-3, boosting scores and efficiency by retaining reasoning and enabling compaction. ]]></description>
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<pubDate>Thu, 30 Jul 2026 02:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, enabling, two, settings, tripled, our, scores, the, ARC-AGI-3, benchmark</media:keywords>
</item>

<item>
<title>NVIDIA Sets Conference Call for Second&amp;Quarter Financial Results</title>
<link>https://news.jatlink.uk/17196</link>
<guid>https://news.jatlink.uk/17196</guid>
<description><![CDATA[ NVIDIA will host a conference call on Wednesday, August 26, at 2 p.m. PT (5 p.m. ET) to discuss its financial results for the second quarter of fiscal year 2027, which ended July 26, 2026. ]]></description>
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<pubDate>Thu, 30 Jul 2026 00:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Sets, Conference, Call, for, Second-Quarter, Financial, Results</media:keywords>
</item>

<item>
<title>How GPT&amp;5.6 fuses frontier intelligence with frontier efficiency</title>
<link>https://news.jatlink.uk/17195</link>
<guid>https://news.jatlink.uk/17195</guid>
<description><![CDATA[ GPT-5.6 improves AI efficiency across models, inference, and agentic workflows, helping deliver more useful intelligence per dollar. ]]></description>
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<pubDate>Wed, 29 Jul 2026 22:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, GPT-5.6, fuses, frontier, intelligence, with, frontier, efficiency</media:keywords>
</item>

<item>
<title>Automating customer retention workflows in Amazon Quick</title>
<link>https://news.jatlink.uk/17181</link>
<guid>https://news.jatlink.uk/17181</guid>
<description><![CDATA[ Learn how to build a no-code customer retention pipeline in Amazon Quick that detects at-risk customers from call transcripts and CSAT data, scores them by retention priority with a custom MCP Action, and generates personalized retention letters, reducing response time from days to minutes. ]]></description>
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<pubDate>Wed, 29 Jul 2026 19:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Automating, customer, retention, workflows, Amazon, Quick</media:keywords>
</item>

<item>
<title>Authenticate with Private Key JWT using Amazon Bedrock AgentCore Identity</title>
<link>https://news.jatlink.uk/17179</link>
<guid>https://news.jatlink.uk/17179</guid>
<description><![CDATA[ This post explains how Private Key JWT client authentication works in AgentCore Identity and reviews the supported grant flows. We then walk through creating an AWS KMS signing key, registering its public key with your identity provider, configuring a credential provider on the AWS Management Console, and reviewing example AWS CloudTrail events that record your agent’s access. ]]></description>
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<pubDate>Wed, 29 Jul 2026 19:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Authenticate, with, Private, Key, JWT, using, Amazon, Bedrock, AgentCore, Identity</media:keywords>
</item>

<item>
<title>Generate Autonomous Business Insights with AI Agent and MCP Servers</title>
<link>https://news.jatlink.uk/17180</link>
<guid>https://news.jatlink.uk/17180</guid>
<description><![CDATA[ Learn how Amazon Bedrock AgentCore delivers autonomous, cross-system business intelligence through configuration rather than custom code. Using pre-built MCP server connectors, fine-grained access control, and persistent memory, enterprises can query multiple data sources with natural language while enforcing role-based boundaries automatically. ]]></description>
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<pubDate>Wed, 29 Jul 2026 19:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Generate, Autonomous, Business, Insights, with, Agent, and, MCP, Servers</media:keywords>
</item>

<item>
<title>Accelerating scientific discovery with ChatGPT for Academic Researchers</title>
<link>https://news.jatlink.uk/17178</link>
<guid>https://news.jatlink.uk/17178</guid>
<description><![CDATA[ OpenAI is giving 100,000 academic researchers free access to ChatGPT&#039;s most advanced AI models to accelerate scientific research, collaboration, and discovery. ]]></description>
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<pubDate>Wed, 29 Jul 2026 19:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Accelerating, scientific, discovery, with, ChatGPT, for, Academic, Researchers</media:keywords>
</item>

<item>
<title>How AgentCore Gateway supports the MCP 2026&amp;07&amp;28 spec</title>
<link>https://news.jatlink.uk/17103</link>
<guid>https://news.jatlink.uk/17103</guid>
<description><![CDATA[ The Model Context Protocol (MCP) published its 2026-07-28 specification, the largest revision since launch: MCP is now stateless, with a governed extensions system and hardened authorization. Learn what changed and how to enable the new version on Amazon Bedrock AgentCore Gateway with a single UpdateGateway call. ]]></description>
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<pubDate>Tue, 28 Jul 2026 23:00:04 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, AgentCore, Gateway, supports, the, MCP, 2026-07-28, spec</media:keywords>
</item>

<item>
<title>Powerful Compute So Compact, It’s Clutch — Build AI in Your Hand With NVIDIA Jetson</title>
<link>https://news.jatlink.uk/17086</link>
<guid>https://news.jatlink.uk/17086</guid>
<description><![CDATA[ Anyone can make a robot move; NVIDIA Jetson makes it think. As a discerning AI investor who values style and substance, Sarah Guo knows this season’s standout accessory isn’t the latest designer purse — but what’s inside it.  In a recent video, Guo, founder of AI-native venture capital firm Conviction and co-host of the AI […] ]]></description>
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<pubDate>Tue, 28 Jul 2026 20:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Powerful, Compute, Compact, It’s, Clutch, —, Build, Your, Hand, With, NVIDIA, Jetson</media:keywords>
</item>

<item>
<title>Scientific computing in the age of agentic AI</title>
<link>https://news.jatlink.uk/17084</link>
<guid>https://news.jatlink.uk/17084</guid>
<description><![CDATA[ A new field report shows how scientists use AI coding agents to modernize scientific computing, accelerating software development and discovery in genomics and beyond. ]]></description>
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<pubDate>Tue, 28 Jul 2026 19:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Scientific, computing, the, age, agentic</media:keywords>
</item>

<item>
<title>Market surveillance agent with LangGraph and Strands on AgentCore</title>
<link>https://news.jatlink.uk/17085</link>
<guid>https://news.jatlink.uk/17085</guid>
<description><![CDATA[ Learn how to architect and deploy a production-ready multi-agent AI system using LangGraph for workflow orchestration and Strands for agent reasoning on Amazon Bedrock AgentCore. This post walks through a market surveillance example with state-driven orchestration, checkpoint-based recovery, and AgentCore memory and observability. ]]></description>
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<pubDate>Tue, 28 Jul 2026 19:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Market, surveillance, agent, with, LangGraph, and, Strands, AgentCore</media:keywords>
</item>

<item>
<title>How Guardoc transforms medical document processing with Amazon Nova models</title>
<link>https://news.jatlink.uk/16998</link>
<guid>https://news.jatlink.uk/16998</guid>
<description><![CDATA[ In this post, we explore how Guardoc Health uses the Amazon Nova family of models, available through Amazon Bedrock, to transform clinical documentation in long-term care. ]]></description>
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<pubDate>Mon, 27 Jul 2026 19:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Guardoc, transforms, medical, document, processing, with, Amazon, Nova, models</media:keywords>
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<item>
<title>Beyond RAG: Task&amp;aware knowledge compression for enterprise AI on AWS</title>
<link>https://news.jatlink.uk/16996</link>
<guid>https://news.jatlink.uk/16996</guid>
<description><![CDATA[ Traditional RAG hits a ceiling on analytical tasks that span hundreds of documents. This post shows how to use task-aware knowledge compression (TAKC) on AWS to pre-compress entire knowledge bases into task-specific representations, cache them at multiple fidelity tiers, and route each query to the right tier, with an open-source implementation you can deploy. ]]></description>
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<pubDate>Mon, 27 Jul 2026 19:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Beyond, RAG:, Task-aware, knowledge, compression, for, enterprise, AWS</media:keywords>
</item>

<item>
<title>Deepgram enhances Amazon SageMaker AI support with AWS IAM Temporary Delegation</title>
<link>https://news.jatlink.uk/16997</link>
<guid>https://news.jatlink.uk/16997</guid>
<description><![CDATA[ In this post, we cover why Deepgram built on IAM temporary delegation, how the integration works end-to-end, and what it unlocks for customers running Deepgram speech models on SageMaker AI. With this integration, Deepgram has reduced the time for initial investigation on a SageMaker AI support ticket from days to minutes. ]]></description>
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<pubDate>Mon, 27 Jul 2026 19:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Deepgram, enhances, Amazon, SageMaker, support, with, AWS, IAM, Temporary, Delegation</media:keywords>
</item>

<item>
<title>Ilya Sutskever’s Safe Superintelligence Inc. and NVIDIA Announce Long&amp;Term Strategic Partnership</title>
<link>https://news.jatlink.uk/16976</link>
<guid>https://news.jatlink.uk/16976</guid>
<description><![CDATA[ Safe Superintelligence Inc. (SSI) and NVIDIA today announced a long-term partnership to rapidly accelerate SSI’s strategic growth... ]]></description>
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<pubDate>Mon, 27 Jul 2026 16:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Ilya, Sutskever’s, Safe, Superintelligence, Inc., and, NVIDIA, Announce, Long-Term, Strategic, Partnership</media:keywords>
</item>

<item>
<title>How AI is expanding what people do at work</title>
<link>https://news.jatlink.uk/16974</link>
<guid>https://news.jatlink.uk/16974</guid>
<description><![CDATA[ New OpenAI research shows how AI is expanding what workers do, with ChatGPT users taking on tasks across roles and reshaping job boundaries. ]]></description>
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<pubDate>Mon, 27 Jul 2026 14:00:04 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, expanding, what, people, work</media:keywords>
</item>

<item>
<title>Industry Leaders Unite in Open Secure AI Alliance for AI Safety and Security</title>
<link>https://news.jatlink.uk/16963</link>
<guid>https://news.jatlink.uk/16963</guid>
<description><![CDATA[ Open source software is a critical pillar of the global economy. It underpins cloud computing, financial services, manufacturing, telecommunications, government and internet services by making technology accessible and observable to communities of experts.  Cybersecurity is among the top three beneficiaries of open source software. The Open Secure AI Alliance — building on the leadership of […] ]]></description>
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<pubDate>Mon, 27 Jul 2026 12:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Industry, Leaders, Unite, Open, Secure, Alliance, for, Safety, and, Security</media:keywords>
</item>

<item>
<title>NVIDIA Harnesses Vera CPU to Speed Up Design of Next&amp;Generation CPUs and GPUs</title>
<link>https://news.jatlink.uk/16945</link>
<guid>https://news.jatlink.uk/16945</guid>
<description><![CDATA[ The complexity of modern chip design continues to grow as engineering teams work to develop increasingly sophisticated CPUs, GPUs and AI systems. To help meet that challenge, NVIDIA is collaborating with industry leaders Cadence and Synopsys to optimize critical electronic design automation (EDA) applications for the NVIDIA Vera CPU. NVIDIA is now deploying Vera across […] ]]></description>
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<pubDate>Mon, 27 Jul 2026 04:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Harnesses, Vera, CPU, Speed, Design, Next-Generation, CPUs, and, GPUs</media:keywords>
</item>

<item>
<title>NVIDIA Expands NVIDIA Agent Toolkit With NVIDIA PhysicsNeMo and CUDA&amp;X Libraries to Transform How the World Engineers, Designs and Builds</title>
<link>https://news.jatlink.uk/16946</link>
<guid>https://news.jatlink.uk/16946</guid>
<description><![CDATA[ NVIDIA today announced an expansion of NVIDIA Agent Toolkit for engineering, now adding NVIDIA PhysicsNeMo™ and CUDA-X™ libraries as agent-ready tools and skills built to transform how the world designs and develops products. ]]></description>
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<pubDate>Mon, 27 Jul 2026 04:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Expands, NVIDIA, Agent, Toolkit, With, NVIDIA, PhysicsNeMo, and, CUDA-X, Libraries, Transform, How, the, World, Engineers, Designs, and, Builds</media:keywords>
</item>

<item>
<title>SK Group and NVIDIA Expand Strategic Partnership Across AI Factories and Next&amp;Generation Memory</title>
<link>https://news.jatlink.uk/16824</link>
<guid>https://news.jatlink.uk/16824</guid>
<description><![CDATA[ SK Group and NVIDIA today announced plans for a $500-billion-plus comprehensive partnership to establish AI infrastructure serving the surging demand for global compute. The two sides signed letters of intent to formalize the agreement, which spans from AI factory construction to AI memory supply. ]]></description>
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<pubDate>Sat, 25 Jul 2026 08:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Group, and, NVIDIA, Expand, Strategic, Partnership, Across, Factories, and, Next-Generation, Memory</media:keywords>
</item>

<item>
<title>NAVER, NVIDIA and Brookfield to Expand Korea’s National AI Factory Infrastructure Buildout</title>
<link>https://news.jatlink.uk/16825</link>
<guid>https://news.jatlink.uk/16825</guid>
<description><![CDATA[ NAVER, NVIDIA and Brookfield today announced a proposed expansion of Korea&#039;s sovereign AI factory infrastructure, with planned investments that will grow the initial NVIDIA® DSX™ AI factory deployment to 200 megawatts — more than tripling the 55-megawatt buildout announced last month. NAVER intends to expand its deployment of NVIDIA AI infrastructure to 1 gigawatt. ]]></description>
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<pubDate>Sat, 25 Jul 2026 08:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NAVER, NVIDIA, and, Brookfield, Expand, Korea’s, National, Factory, Infrastructure, Buildout</media:keywords>
</item>

<item>
<title>Get started with OpenAI GPT&amp;5.6 Sol, Terra, and Luna on Amazon Bedrock</title>
<link>https://news.jatlink.uk/16789</link>
<guid>https://news.jatlink.uk/16789</guid>
<description><![CDATA[ OpenAI GPT-5.6 Sol, Terra, and Luna are now generally available on Amazon Bedrock. Learn how to select a model, run inference through the Responses API on the bedrock-mantle endpoint, reduce cost with prompt caching, connect the OpenAI Codex coding agent, and plan for quotas and scaling. ]]></description>
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<pubDate>Fri, 24 Jul 2026 19:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Get, started, with, OpenAI, GPT-5.6, Sol, Terra, and, Luna, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Introducing Claude Opus 5 on AWS: Anthropic’s most capable Opus model</title>
<link>https://news.jatlink.uk/16787</link>
<guid>https://news.jatlink.uk/16787</guid>
<description><![CDATA[ This post covers Opus 5’s improvements and practical guidance for AI engineers integrating the model into agentic systems and production inference workloads on Amazon Bedrock. See the documentation for Claude Platform on AWS. ]]></description>
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<pubDate>Fri, 24 Jul 2026 19:00:04 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, Claude, Opus, AWS:, Anthropic’s, most, capable, Opus, model</media:keywords>
</item>

<item>
<title>Build an explainable next&amp;best&amp;product recommendation system for banking on AWS</title>
<link>https://news.jatlink.uk/16788</link>
<guid>https://news.jatlink.uk/16788</guid>
<description><![CDATA[ Learn the architecture and design decisions behind an explainable next-best-product recommendation system for banking, built with Amazon SageMaker AI and PyTorch. A multi-tower neural network with learned attention delivers accurate, per-customer recommendations while providing the explainability that banking regulators require. ]]></description>
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<pubDate>Fri, 24 Jul 2026 19:00:04 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, explainable, next-best-product, recommendation, system, for, banking, AWS</media:keywords>
</item>

<item>
<title>At AI Summit, South Korea Outlines Its AI Future With NVIDIA and Partners</title>
<link>https://news.jatlink.uk/16741</link>
<guid>https://news.jatlink.uk/16741</guid>
<description><![CDATA[ At this week’s AI Summit in San Francisco, South Korean President Jae Myung Lee and some of the country’s top business leaders and researchers are meeting with NVIDIA and ecosystem partners to chart Korea’s AI progress. Building on NVIDIA founder and CEO Jensen Huang’s visit to Korea last month, this week’s discussions and announcements advance […] ]]></description>
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<pubDate>Fri, 24 Jul 2026 08:00:04 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Summit, South, Korea, Outlines, Its, Future, With, NVIDIA, and, Partners</media:keywords>
</item>

<item>
<title>NVIDIA and KAIST Launch Joint AI Research Lab to Accelerate AI Innovation in Korea</title>
<link>https://news.jatlink.uk/16724</link>
<guid>https://news.jatlink.uk/16724</guid>
<description><![CDATA[ NVIDIA and the Korea Advanced Institute of Science and Technology (KAIST) today announced the launch of a joint AI research laboratory at the KAIST Kim Jaechul Graduate School of AI in Seoul, dedicated to advancing agentic AI for South Korea. ]]></description>
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<pubDate>Fri, 24 Jul 2026 04:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, KAIST, Launch, Joint, Research, Lab, Accelerate, Innovation, Korea</media:keywords>
</item>

<item>
<title>Best practices for applying Amazon Bedrock Guardrails to code generation workflows</title>
<link>https://news.jatlink.uk/16722</link>
<guid>https://news.jatlink.uk/16722</guid>
<description><![CDATA[ In this post, we explain how Amazon Bedrock Guardrails can be configured for code generation workflows with coding assistants to overcome these constraints. With these best practices, you can build an efficient blueprint helping you with effective capacity planning with robust safety coverage. ]]></description>
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<pubDate>Fri, 24 Jul 2026 03:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Best, practices, for, applying, Amazon, Bedrock, Guardrails, code, generation, workflows</media:keywords>
</item>

<item>
<title>Launching Health in ChatGPT</title>
<link>https://news.jatlink.uk/16709</link>
<guid>https://news.jatlink.uk/16709</guid>
<description><![CDATA[ Health in ChatGPT now lets eligible U.S. users securely connect medical records and Apple Health to get more personalized insights and better understand their health. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 23 Jul 2026 22:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Launching, Health, ChatGPT</media:keywords>
</item>

<item>
<title>Agentic retrieval for Amazon Bedrock Managed Knowledge Base</title>
<link>https://news.jatlink.uk/16692</link>
<guid>https://news.jatlink.uk/16692</guid>
<description><![CDATA[ This post focuses on why classic retrieval falls short on multi-part questions, how the AgenticRetrieveStream API works (including request construction and trace parsing), and when to choose it over the standard Retrieve API. ]]></description>
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<pubDate>Thu, 23 Jul 2026 19:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Agentic, retrieval, for, Amazon, Bedrock, Managed, Knowledge, Base</media:keywords>
</item>

<item>
<title>Building multi&amp;Region visualizations with Highcharts in Amazon Quick</title>
<link>https://news.jatlink.uk/16690</link>
<guid>https://news.jatlink.uk/16690</guid>
<description><![CDATA[ This post shows you how to build multi-Region carrier performance dashboards in Quick Sight using Highcharts custom visualizations to overcome native chart limitations. You will learn how to maintain data sovereignty across AWS Regions while creating unified visualizations through the Quick Sight federated dataset capability. The solution includes production-ready chart configurations and addresses security, compliance, and scalability requirements. ]]></description>
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<pubDate>Thu, 23 Jul 2026 19:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, multi-Region, visualizations, with, Highcharts, Amazon, Quick</media:keywords>
</item>

<item>
<title>Detecting silent agent failures with Amazon Bedrock AgentCore optimization</title>
<link>https://news.jatlink.uk/16691</link>
<guid>https://news.jatlink.uk/16691</guid>
<description><![CDATA[ Amazon Bedrock AgentCore optimization surfaces silent behavioral failures in production AI agents: the ones that pass every health check but still deliver wrong outcomes. Learn how insights discovers, explains, and ranks failure patterns across sessions so you can fix the highest-impact issues first. ]]></description>
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<pubDate>Thu, 23 Jul 2026 19:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Detecting, silent, agent, failures, with, Amazon, Bedrock, AgentCore, optimization</media:keywords>
</item>

<item>
<title>Evaluating AI Agents: A production blueprint with Strands and AgentCore</title>
<link>https://news.jatlink.uk/16688</link>
<guid>https://news.jatlink.uk/16688</guid>
<description><![CDATA[ Together, Motorway and AWS built an end-to-end evaluation pipeline that reduced incorrect results from 1 in 8 queries to 1 in 50 and cut issue detection time from few hours to few minutes. The pipeline combines the Strands Agents SDK with Amazon Bedrock AgentCore, a fully managed service for deploying and operating AI agents at scale. In this post, you will learn how to build this pipeline for your own agents. ]]></description>
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<pubDate>Thu, 23 Jul 2026 19:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Evaluating, Agents:, production, blueprint, with, Strands, and, AgentCore</media:keywords>
</item>

<item>
<title>Building trade assistant: How Jefferies optimized front office trading operations with AI</title>
<link>https://news.jatlink.uk/16689</link>
<guid>https://news.jatlink.uk/16689</guid>
<description><![CDATA[ In this post, we explore how Jefferies overcame these challenges with a solution built on Strands Agents, an agent harness SDK for building AI agents that can reason, plan, and act by orchestrating calls to foundation models (FMs) and external tools. The solution uses large language models (LLMs), Amazon Bedrock, and Amazon Bedrock Knowledge Bases. It also uses Model Context Protocol (MCP), an open standard that helps AI agents securely connect to diverse data sources and tools through a unified interface. We cover the solution overview, the rationale for selecting the underlying technology stack, lessons learned, and the business impact the solution created at Jefferies. ]]></description>
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<pubDate>Thu, 23 Jul 2026 19:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, trade, assistant:, How, Jefferies, optimized, front, office, trading, operations, with</media:keywords>
</item>

<item>
<title>GeForce NOW Sets Sail With ‘Path of Exile: Curse of the Allflame’ Joining the Cloud</title>
<link>https://news.jatlink.uk/16669</link>
<guid>https://news.jatlink.uk/16669</guid>
<description><![CDATA[ Lock in and load up the cloud. GFN Thursday brings fresh updates and new adventures, all ready to play without waiting for downloads. Set sail in Path of Exile: Curse of the Allflame and charge in Battlefield 6 Season 4 both launching major content for members this week. Then revisit Capcom legends like Breath of […] ]]></description>
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<pubDate>Thu, 23 Jul 2026 16:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>GeForce, NOW, Sets, Sail, With, ‘Path, Exile:, Curse, the, Allflame’, Joining, the, Cloud</media:keywords>
</item>

<item>
<title>NVIDIA AI Supercomputer Comes Online at Naval Postgraduate School</title>
<link>https://news.jatlink.uk/16627</link>
<guid>https://news.jatlink.uk/16627</guid>
<description><![CDATA[ NVIDIA founder and CEO Jensen Huang today visited the Naval Postgraduate School in Monterey, California, to commission an NVIDIA DGX GB300 system — bringing one of the world’s most powerful AI platforms fully online for the students, researchers and faculty at the U.S. military’s flagship graduate university. “Our nation depends on our men and women […] ]]></description>
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<pubDate>Thu, 23 Jul 2026 04:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Supercomputer, Comes, Online, Naval, Postgraduate, School</media:keywords>
</item>

<item>
<title>Build specialized agent workflows for your business with Amazon Quick and NVIDIA NeMo Relay</title>
<link>https://news.jatlink.uk/16626</link>
<guid>https://news.jatlink.uk/16626</guid>
<description><![CDATA[ In this post, we show how Amazon Quick can serve as the business-user front door for specialized agent workflows. We use the NVIDIA NeMo Relay to build a supply-chain risk example that helps a planner move from an Amazon Quick dashboard and knowledge context to a guided mitigation recommendation. ]]></description>
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<pubDate>Thu, 23 Jul 2026 03:00:16 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, specialized, agent, workflows, for, your, business, with, Amazon, Quick, and, NVIDIA, NeMo, Relay</media:keywords>
</item>

<item>
<title>NTT DATA Group cuts incident analysis to 30 minutes with Codex</title>
<link>https://news.jatlink.uk/16625</link>
<guid>https://news.jatlink.uk/16625</guid>
<description><![CDATA[ NTT DATA Group uses ChatGPT Enterprise and Codex to help 9,000 employees automate work, cut incident analysis to 30 minutes, and scale secure AI adoption. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 23 Jul 2026 02:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NTT, DATA, Group, cuts, incident, analysis, minutes, with, Codex</media:keywords>
</item>

<item>
<title>How news organizations are using AI to advance their vital missions</title>
<link>https://news.jatlink.uk/16608</link>
<guid>https://news.jatlink.uk/16608</guid>
<description><![CDATA[ News organizations are using AI to strengthen reporting, grow audiences, and improve business operations, with OpenAI tools supporting journalists and publishers worldwide. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 22 Jul 2026 22:00:16 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, news, organizations, are, using, advance, their, vital, missions</media:keywords>
</item>

<item>
<title>AI Teammates: how monday.com runs production AI agents on Amazon Bedrock</title>
<link>https://news.jatlink.uk/16594</link>
<guid>https://news.jatlink.uk/16594</guid>
<description><![CDATA[ AI Teammates are agentic AI on Amazon Bedrock, and few engineering organizations run them in production at the scale that monday.com does. Nine in ten Builders use AI coding tools every month, up from roughly half a year ago. Per-engineer PR throughput is up by more than half. Every figure in this post comes from monday’s own internal production data. In this post, we share the architecture behind those numbers, the retrofits that made it work in a decade-old code base, and the confidence-scored merge play closing the gap to full autonomy. ]]></description>
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<pubDate>Wed, 22 Jul 2026 19:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Teammates:, how, monday.com, runs, production, agents, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Advancing the next era of national science</title>
<link>https://news.jatlink.uk/16592</link>
<guid>https://news.jatlink.uk/16592</guid>
<description><![CDATA[ OpenAI outlines its commitment to advancing American science working with the U.S. Department of Energy and national labs to use frontier AI to accelerate discovery. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 22 Jul 2026 18:00:20 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Advancing, the, next, era, national, science</media:keywords>
</item>

<item>
<title>Introducing OpenAI Presence</title>
<link>https://news.jatlink.uk/16593</link>
<guid>https://news.jatlink.uk/16593</guid>
<description><![CDATA[ Introducing OpenAI Presence, a proven enterprise AI agent platform that helps organizations deploy trusted voice and chat agents for customer and internal workflows. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 22 Jul 2026 18:00:20 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, OpenAI, Presence</media:keywords>
</item>

<item>
<title>NVIDIA Open Sources First GPU&amp;Accelerated Medical Physics Simulation Framework</title>
<link>https://news.jatlink.uk/16573</link>
<guid>https://news.jatlink.uk/16573</guid>
<description><![CDATA[ Before a healthcare robot can be useful in the real world, it has to learn how the physical world pushes back. Anatomy varies. Instruments bend, press, slip and interact with tissue. Imaging can be noisy or incomplete. And the rare, edge scenarios developers most need to understand don’t appear on schedule. That creates one of […] ]]></description>
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<pubDate>Wed, 22 Jul 2026 16:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Open, Sources, First, GPU-Accelerated, Medical, Physics, Simulation, Framework</media:keywords>
</item>

<item>
<title>Building AI infrastructure with the Effingham County community</title>
<link>https://news.jatlink.uk/16572</link>
<guid>https://news.jatlink.uk/16572</guid>
<description><![CDATA[ OpenAI announces Project Camellia in Effingham County, Georgia, with commitments to responsible energy, community investment, jobs, and access to Codex. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 22 Jul 2026 14:00:31 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, infrastructure, with, the, Effingham, County, community</media:keywords>
</item>

<item>
<title>Built in Fort Worth: Wistron Opens Advanced Manufacturing Plant to Produce NVIDIA AI Systems</title>
<link>https://news.jatlink.uk/16510</link>
<guid>https://news.jatlink.uk/16510</guid>
<description><![CDATA[ The AI era runs on AI infrastructure. Many of these advanced systems are built and tested in Texas. Wistron opened its first U.S. manufacturing facility today in Fort Worth — a 324,000-square-foot greenfield plant producing superchips at the heart of some of the world’s most capable AI systems. In front of an audience of Wistron […] ]]></description>
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<pubDate>Wed, 22 Jul 2026 00:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Built, Fort, Worth:, Wistron, Opens, Advanced, Manufacturing, Plant, Produce, NVIDIA, Systems</media:keywords>
</item>

<item>
<title>Introducing the ChatGPT for small business program</title>
<link>https://news.jatlink.uk/16507</link>
<guid>https://news.jatlink.uk/16507</guid>
<description><![CDATA[ OpenAI launches the ChatGPT for Small Businesses program, helping entrepreneurs build AI skills, automate work, and grow with ChatGPT Work. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 21 Jul 2026 22:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, the, ChatGPT, for, small, business, program</media:keywords>
</item>

<item>
<title>OpenAI and Hugging Face partner to address security incident during model evaluation</title>
<link>https://news.jatlink.uk/16508</link>
<guid>https://news.jatlink.uk/16508</guid>
<description><![CDATA[ OpenAI and Hugging Face share early findings from a security incident during AI model evaluation, highlighting advanced cyber capabilities and lessons for defenders. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 21 Jul 2026 22:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, and, Hugging, Face, partner, address, security, incident, during, model, evaluation</media:keywords>
</item>

<item>
<title>David Vélez and Robin Vince join the boards of the OpenAI Foundation and OpenAI Group PBC</title>
<link>https://news.jatlink.uk/16509</link>
<guid>https://news.jatlink.uk/16509</guid>
<description><![CDATA[ David Vélez and Robin Vince join the boards of the OpenAI Foundation and OpenAI Group PBC, bringing global leadership in finance, technology, and governance. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 21 Jul 2026 22:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>David, Vélez, and, Robin, Vince, join, the, boards, the, OpenAI, Foundation, and, OpenAI, Group, PBC</media:keywords>
</item>

<item>
<title>NVIDIA Vera Rubin Driving Performance Per Watt, Lowest Token Cost for Partners Worldwide</title>
<link>https://news.jatlink.uk/16490</link>
<guid>https://news.jatlink.uk/16490</guid>
<description><![CDATA[ NVIDIA Vera Rubin is here, and it’s going gigascale. Vera Rubin NVL72 production is ramping up with racks running at partners CoreWeave, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure. Spanning 350-plus factory sites in 30 countries, Vera Rubin has the largest, most mature rack-scale supply chain ever assembled to meet customer compute demand. The […] ]]></description>
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<pubDate>Tue, 21 Jul 2026 20:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Vera, Rubin, Driving, Performance, Per, Watt, Lowest, Token, Cost, for, Partners, Worldwide</media:keywords>
</item>

<item>
<title>Built for Vera Rubin, NVIDIA Spectrum&amp;6 Arrives in Gigascale AI Factories</title>
<link>https://news.jatlink.uk/16491</link>
<guid>https://news.jatlink.uk/16491</guid>
<description><![CDATA[ AI has entered the gigascale era. The world’s most advanced AI factories are bringing together hundreds of thousands of GPUs and CPUs to train frontier models, power agentic AI and generate intelligence at unprecedented scale. At this level, networking becomes a critical computing power multiplier in driving token generation. Marking a networking milestone, NVIDIA Spectrum-6 […] ]]></description>
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<pubDate>Tue, 21 Jul 2026 20:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Built, for, Vera, Rubin, NVIDIA, Spectrum-6, Arrives, Gigascale, Factories</media:keywords>
</item>

<item>
<title>Exploring self&amp;distilled reasoning for supervised fine&amp;tuning with Amazon Nova</title>
<link>https://news.jatlink.uk/16489</link>
<guid>https://news.jatlink.uk/16489</guid>
<description><![CDATA[ In this post, we explore an idea for generating thinking tokens for datasets that lack reasoning traces in SFT customization. We first examine the reasoning suppression problem, then introduce Self-Distilled Reasoning (SDR), validate it across three benchmarks, and provide practical recommendations. ]]></description>
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<pubDate>Tue, 21 Jul 2026 19:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Exploring, self-distilled, reasoning, for, supervised, fine-tuning, with, Amazon, Nova</media:keywords>
</item>

<item>
<title>At SIGGRAPH, NVIDIA Advances Graphics and Simulation With Agentic and Physical AI</title>
<link>https://news.jatlink.uk/16401</link>
<guid>https://news.jatlink.uk/16401</guid>
<description><![CDATA[ From open models to real-time simulation, AI and graphics breakthroughs are transforming media, content creation and robotics. ]]></description>
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<pubDate>Mon, 20 Jul 2026 20:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>SIGGRAPH, NVIDIA, Advances, Graphics, and, Simulation, With, Agentic, and, Physical</media:keywords>
</item>

<item>
<title>NVIDIA Agent Toolkit Expands With New Omniverse Libraries, Putting AI Agents to Work Building Simulation&amp;Ready Worlds</title>
<link>https://news.jatlink.uk/16402</link>
<guid>https://news.jatlink.uk/16402</guid>
<description><![CDATA[ NVIDIA today announced that NVIDIA Agent Toolkit now includes NVIDIA Omniverse™ libraries — a collection of software components that give AI agents tools and skills to add physical AI capabilities to existing applications and prepare 3D content for simulation. ]]></description>
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<pubDate>Mon, 20 Jul 2026 20:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Agent, Toolkit, Expands, With, New, Omniverse, Libraries, Putting, Agents, Work, Building, Simulation-Ready, Worlds</media:keywords>
</item>

<item>
<title>How Couchbase built a multi&amp;model AI architecture for Capella iQ with Amazon Bedrock</title>
<link>https://news.jatlink.uk/16399</link>
<guid>https://news.jatlink.uk/16399</guid>
<description><![CDATA[ This post describes how Couchbase adopted Amazon Bedrock to power Capella iQ with Anthropic’s Claude family of models, the architectural decisions behind their multi-model approach, and the operational benefits realized in production. ]]></description>
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<pubDate>Mon, 20 Jul 2026 19:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Couchbase, built, multi-model, architecture, for, Capella, with, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Evolving from legacy BI to agentic AI at Tradeshift with Amazon Quick</title>
<link>https://news.jatlink.uk/16400</link>
<guid>https://news.jatlink.uk/16400</guid>
<description><![CDATA[ In this post, we describe how Tradeshift deployed Amazon Quick with agentic AI capabilities to replace our legacy BI tool, resulting in query response times up to 30 times faster, a 40 percent reduction in total cost of ownership, and turned embedded analytics into a product that generates revenue. ]]></description>
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<pubDate>Mon, 20 Jul 2026 19:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Evolving, from, legacy, agentic, Tradeshift, with, Amazon, Quick</media:keywords>
</item>

<item>
<title>Safety and alignment in an era of long&amp;horizon models</title>
<link>https://news.jatlink.uk/16396</link>
<guid>https://news.jatlink.uk/16396</guid>
<description><![CDATA[ OpenAI shares lessons from deploying long-running AI models, highlighting new safety risks, observed failures, and improved safeguards through iterative deployment. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Mon, 20 Jul 2026 19:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Safety, and, alignment, era, long-horizon, models</media:keywords>
</item>

<item>
<title>Custom OS installation now available on AWS DeepRacer devices</title>
<link>https://news.jatlink.uk/16397</link>
<guid>https://news.jatlink.uk/16397</guid>
<description><![CDATA[ With the stock firmware and software, developers couldn&#039;t modify their AWS DeepRacer devices to use the latest operating systems. Now, developers can upgrade or install a custom operating system (OS) by using a newly released bootloader, which extends the life of these hardware devices. In this post, we introduce the bootloader, discuss how to use it, and share links to a community distribution that uses it. ]]></description>
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<pubDate>Mon, 20 Jul 2026 19:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Custom, installation, now, available, AWS, DeepRacer, devices</media:keywords>
</item>

<item>
<title>Build specialized agent workflows for your business with Amazon Quick and NVIDIA NeMo Agent Toolkit</title>
<link>https://news.jatlink.uk/16398</link>
<guid>https://news.jatlink.uk/16398</guid>
<description><![CDATA[ In this post, we show how Amazon Quick can serve as the business-user front door for specialized agent workflows. We use the NVIDIA NeMo Agent Toolkit to build a supply-chain risk example that helps a planner move from an Amazon Quick dashboard and knowledge context to a guided mitigation recommendation. ]]></description>
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<pubDate>Mon, 20 Jul 2026 19:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, specialized, agent, workflows, for, your, business, with, Amazon, Quick, and, NVIDIA, NeMo, Agent, Toolkit</media:keywords>
</item>

<item>
<title>Bristol Myers Squibb Building Life Science Industry’s Most Advanced AI Factory on NVIDIA Vera Rubin</title>
<link>https://news.jatlink.uk/16378</link>
<guid>https://news.jatlink.uk/16378</guid>
<description><![CDATA[ Erin Davis calls it the “SuperDuperPOD.” That’s two things in one name: pharmaceutical giant Bristol Myers Squibb (BMS) already runs one of the largest AI clusters in life sciences, with serious results to show for it. And they’re doubling down. BMS announced today it is deploying its second NVIDIA DGX SuperPOD, this one built on […] ]]></description>
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<pubDate>Mon, 20 Jul 2026 16:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Bristol, Myers, Squibb, Building, Life, Science, Industry’s, Most, Advanced, Factory, NVIDIA, Vera, Rubin</media:keywords>
</item>

<item>
<title>NVIDIA Vera Rubin Maximizes Intelligence per Dollar for Post&amp;Training Workloads — a Key Metric for Agentic AI</title>
<link>https://news.jatlink.uk/16225</link>
<guid>https://news.jatlink.uk/16225</guid>
<description><![CDATA[ Lowest cost per token from extreme codesign maximizes intelligence per dollar for post-training in the agentic era. ]]></description>
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<pubDate>Sat, 18 Jul 2026 08:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Vera, Rubin, Maximizes, Intelligence, per, Dollar, for, Post-Training, Workloads, —, Key, Metric, for, Agentic</media:keywords>
</item>

<item>
<title>Transform your sales organization with Amazon Quick: your new agentic AI teammate</title>
<link>https://news.jatlink.uk/16200</link>
<guid>https://news.jatlink.uk/16200</guid>
<description><![CDATA[ In this post, we walk through a few ways that Quick delivers on this promise. We cover the entire sales cycle, from identifying your highest-priority prospect, contacting them, working the deal to close, and keeping the CRM up to date as the account matures, while protecting your scarcest resource: your time. ]]></description>
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<pubDate>Fri, 17 Jul 2026 23:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Transform, your, sales, organization, with, Amazon, Quick:, your, new, agentic, teammate</media:keywords>
</item>

<item>
<title>NVIDIA Vera Rubin Maximizes Intelligence per Dollar for Post&amp;Training Workloads – a Key Metric for Agentic AI</title>
<link>https://news.jatlink.uk/16181</link>
<guid>https://news.jatlink.uk/16181</guid>
<description><![CDATA[ Lowest cost per token from extreme codesign maximizes intelligence per dollar for post-training in the agentic era. ]]></description>
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<pubDate>Fri, 17 Jul 2026 20:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Vera, Rubin, Maximizes, Intelligence, per, Dollar, for, Post-Training, Workloads, –, Key, Metric, for, Agentic</media:keywords>
</item>

<item>
<title>How Smartsheet built a remote MCP server on AWS</title>
<link>https://news.jatlink.uk/16180</link>
<guid>https://news.jatlink.uk/16180</guid>
<description><![CDATA[ In this post, we cover a high-level view of the Smartsheet remote MCP architecture, with a focus on the AWS infrastructure behind it. This includes security, governance, scaling and deployment, and the AI-specific optimizations Smartsheet built on AWS. ]]></description>
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<pubDate>Fri, 17 Jul 2026 19:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Smartsheet, built, remote, MCP, server, AWS</media:keywords>
</item>

<item>
<title>Introducing Mobile Layout for Amazon Quick dashboards</title>
<link>https://news.jatlink.uk/16179</link>
<guid>https://news.jatlink.uk/16179</guid>
<description><![CDATA[ Teams that rely on dashboards for daily decisions often must pinch and zoom to interact with controls originally designed for larger displays. Checking revenue during a morning standup, reviewing pipeline metrics between meetings, or monitoring operations while traveling all require extra effort when the dashboard was built for a desktop screen. Mobile Layout for Amazon […] ]]></description>
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<pubDate>Fri, 17 Jul 2026 19:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, Mobile, Layout, for, Amazon, Quick, dashboards</media:keywords>
</item>

<item>
<title>A scorecard for the AI age</title>
<link>https://news.jatlink.uk/16162</link>
<guid>https://news.jatlink.uk/16162</guid>
<description><![CDATA[ Sarah Friar, CFO of OpenaAI, introduces a practical AI scorecard to measure ROI through useful work, cost per successful task, dependability, and return on compute. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 17 Jul 2026 15:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>scorecard, for, the, age</media:keywords>
</item>

<item>
<title>Introducing Grok on Amazon Bedrock</title>
<link>https://news.jatlink.uk/16109</link>
<guid>https://news.jatlink.uk/16109</guid>
<description><![CDATA[ This post covers what makes Grok 4.3 a great fit for agentic and enterprise workloads, how you access it through Amazon Bedrock, and how to use the capabilities most teams reach for first: a basic chat request, configurable reasoning effort, tool calling, structured output, image input, and stateful multi-turn conversations. ]]></description>
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<pubDate>Thu, 16 Jul 2026 23:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, Grok, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Build enterprise search for agents with Amazon Bedrock Managed Knowledge Base</title>
<link>https://news.jatlink.uk/16108</link>
<guid>https://news.jatlink.uk/16108</guid>
<description><![CDATA[ In this post, we walk through the three pillars that make this possible: simplified setup, smarter retrieval, and production readiness. We also show you code examples for setting up a knowledge base and retrieving from it. ]]></description>
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<pubDate>Thu, 16 Jul 2026 23:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, enterprise, search, for, agents, with, Amazon, Bedrock, Managed, Knowledge, Base</media:keywords>
</item>

<item>
<title>Building a restaurant telephony AI host with Amazon Bedrock AgentCore and Amazon Nova 2 Sonic</title>
<link>https://news.jatlink.uk/16093</link>
<guid>https://news.jatlink.uk/16093</guid>
<description><![CDATA[ In this post, we show you how to build a voice ordering system that answers a phone number and takes the order from greeting to confirmation. The system uses Amazon Bedrock AgentCore to host and run the agent and Amazon Nova 2 Sonic for real-time speech, connected to a restaurant backend through the Model Context Protocol (MCP). The walkthrough covers deploying the full stack with AWS Cloud Development Kit (AWS CDK) and bridging a phone call into the agent through a Session Initiation Protocol (SIP) gateway on Amazon Elastic Container Service (Amazon ECS) and AWS Fargate. It also warms the agent session while the phone is still ringing, so the caller never hears dead air. ]]></description>
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<pubDate>Thu, 16 Jul 2026 19:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, restaurant, telephony, host, with, Amazon, Bedrock, AgentCore, and, Amazon, Nova, Sonic</media:keywords>
</item>

<item>
<title>Why teens deserve access to safe AI</title>
<link>https://news.jatlink.uk/16091</link>
<guid>https://news.jatlink.uk/16091</guid>
<description><![CDATA[ Learn how OpenAI is making ChatGPT safer for teens with age-appropriate protections, learning tools, parental controls, and expert partnerships. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 16 Jul 2026 18:00:23 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Why, teens, deserve, access, safe</media:keywords>
</item>

<item>
<title>How Cars24 scales conversations and builds faster with OpenAI</title>
<link>https://news.jatlink.uk/16092</link>
<guid>https://news.jatlink.uk/16092</guid>
<description><![CDATA[ Cars24 uses OpenAI-powered voice and chat agents to handle 1M+ monthly conversation minutes, recover 12% of lost leads, and bring agentic workflows to teams across the company. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 16 Jul 2026 18:00:23 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Cars24, scales, conversations, and, builds, faster, with, OpenAI</media:keywords>
</item>

<item>
<title>Sharpen the Sword, Skip the Downloads — ‘Onimusha: Way of the Sword’ Is Coming to GeForce NOW</title>
<link>https://news.jatlink.uk/16074</link>
<guid>https://news.jatlink.uk/16074</guid>
<description><![CDATA[ Onimusha: Way of the Sword is coming to GeForce NOW at launch, with the playable demo available this week. It’s joined by Denshattack! rolling in with five new games arriving in the cloud. Plus, GeForce NOW officially launches in India, moving from beta to public availability — meaning gamers can sign up without a waitlist. […] ]]></description>
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<pubDate>Thu, 16 Jul 2026 16:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Sharpen, the, Sword, Skip, the, Downloads, —, ‘Onimusha:, Way, the, Sword’, Coming, GeForce, NOW</media:keywords>
</item>

<item>
<title>Japan Government, Industrial Leaders and NVIDIA Launch the World’s First National AI Infrastructure</title>
<link>https://news.jatlink.uk/16056</link>
<guid>https://news.jatlink.uk/16056</guid>
<description><![CDATA[ NVIDIA today announced it is working with Noetra Corp. to launch an NVIDIA Vera Rubin AI factory with 13,750 NVIDIA Vera CPUs and 27,500 NVIDIA Rubin GPUs for national physical AI... ]]></description>
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<pubDate>Thu, 16 Jul 2026 12:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Japan, Government, Industrial, Leaders, and, NVIDIA, Launch, the, World’s, First, National, Infrastructure</media:keywords>
</item>

<item>
<title>Japan’s Robotics and Manufacturing Leaders Build on NVIDIA Cosmos to Advance Physical AI Frontier</title>
<link>https://news.jatlink.uk/16041</link>
<guid>https://news.jatlink.uk/16041</guid>
<description><![CDATA[ NVIDIA today announced that Japan’s physical AI leaders are building on the NVIDIA Cosmos™, NVIDIA Isaac™, NVIDIA Metropolis and NVIDIA Jetson™ platforms to accelerate the deployment of intelligent machines across manufacturing, mobility, infrastructure and robotics. ]]></description>
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<pubDate>Thu, 16 Jul 2026 08:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Japan’s, Robotics, and, Manufacturing, Leaders, Build, NVIDIA, Cosmos, Advance, Physical, Frontier</media:keywords>
</item>

<item>
<title>NVIDIA Introduces New Jetson Thor Computers to Advance Mainstream Robotics and Edge AI</title>
<link>https://news.jatlink.uk/16024</link>
<guid>https://news.jatlink.uk/16024</guid>
<description><![CDATA[ General-purpose robots and autonomous machines are moving from research labs to real-world mass-market deployment, creating demand for compact, power-efficient AI supercomputers capable of running foundation models at the edge.  To meet that need, NVIDIA today introduced the T3000 and T2000, new modules based on the NVIDIA Thor architecture that enable mass-market robotics and edge AI […] ]]></description>
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<pubDate>Thu, 16 Jul 2026 04:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Introduces, New, Jetson, Thor, Computers, Advance, Mainstream, Robotics, and, Edge</media:keywords>
</item>

<item>
<title>Japan’s Enterprises and Startups Build Industry&amp;Specialized AI With NVIDIA Nemotron Open Models</title>
<link>https://news.jatlink.uk/16025</link>
<guid>https://news.jatlink.uk/16025</guid>
<description><![CDATA[ NVIDIA today announced that leading Japanese enterprises, startups and research institutions are building industry-specialized AI models and applications with NVIDIA Nemotron™ open models, data and libraries, accelerating the development of AI tailored to Japan’s language, industries and workforce. ]]></description>
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<pubDate>Thu, 16 Jul 2026 04:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Japan’s, Enterprises, and, Startups, Build, Industry-Specialized, With, NVIDIA, Nemotron, Open, Models</media:keywords>
</item>

<item>
<title>Monitor Amazon SageMaker Pipelines cross&amp;account with custom Amazon CloudWatch dashboards</title>
<link>https://news.jatlink.uk/16006</link>
<guid>https://news.jatlink.uk/16006</guid>
<description><![CDATA[ In this post, we present a solution designed to centralize the monitoring of SageMaker Pipelines across AWS accounts and Regions using Amazon CloudWatch custom dashboards. The accompanying GitHub repository provides a customizable AWS Cloud Development Kit (AWS CDK) example of the required infrastructure. ]]></description>
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<pubDate>Wed, 15 Jul 2026 23:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Monitor, Amazon, SageMaker, Pipelines, cross-account, with, custom, Amazon, CloudWatch, dashboards</media:keywords>
</item>

<item>
<title>Built Technologies builds an AI&amp;powered document intelligence solution on AWS to power agents across real estate finance</title>
<link>https://news.jatlink.uk/16004</link>
<guid>https://news.jatlink.uk/16004</guid>
<description><![CDATA[ Built partnered with the AWS Generative AI Innovation Center (GenAIIC), AWS Partner AND Digital, and AWS account teams to create a scalable, AI-powered document processing engine that can classify, split, extract, evaluate, and reason over complex real estate finance documents. It reduces workflows that previously took days to minutes, supports hundreds of document types, and gives technical teams and industry experts a shared environment for building and improving document processors. ]]></description>
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<pubDate>Wed, 15 Jul 2026 23:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Built, Technologies, builds, AI-powered, document, intelligence, solution, AWS, power, agents, across, real, estate, finance</media:keywords>
</item>

<item>
<title>Agentic vision: Building visual intelligence with Amazon Bedrock and MCP servers</title>
<link>https://news.jatlink.uk/16005</link>
<guid>https://news.jatlink.uk/16005</guid>
<description><![CDATA[ In this post, we walk you through the Computer Vision MCP Server, which illustrates this approach, representing how AI systems can process visual information and make intelligent decisions through a single, standardized interface. This convergence transforms what was once a complex integration challenge into a streamlined process, making AI capabilities accessible to a broader range of applications and developers. ]]></description>
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<pubDate>Wed, 15 Jul 2026 23:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Agentic, vision:, Building, visual, intelligence, with, Amazon, Bedrock, and, MCP, servers</media:keywords>
</item>

<item>
<title>GPT&amp;Red: Unlocking Self&amp;Improvement for Robustness</title>
<link>https://news.jatlink.uk/15989</link>
<guid>https://news.jatlink.uk/15989</guid>
<description><![CDATA[ Explore GPT-Red, OpenAI’s automated red teaming system that uses self-play to improve AI safety, alignment, and prompt injection robustness. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 15 Jul 2026 19:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>GPT-Red:, Unlocking, Self-Improvement, for, Robustness</media:keywords>
</item>

<item>
<title>The US is advancing AI safety through state and federal action</title>
<link>https://news.jatlink.uk/15988</link>
<guid>https://news.jatlink.uk/15988</guid>
<description><![CDATA[ OpenAI outlines a “reverse federalism” approach to AI governance, where state laws help build a national framework for safe, democratic AI. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 15 Jul 2026 18:00:22 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>The, advancing, safety, through, state, and, federal, action</media:keywords>
</item>

<item>
<title>NVIDIA and Japan Bring Full&amp;Stack AI and Robotics to Every Industry</title>
<link>https://news.jatlink.uk/15954</link>
<guid>https://news.jatlink.uk/15954</guid>
<description><![CDATA[ Home to leading manufacturers, robotics pioneers and infrastructure builders, Japan is one of the world’s centers of AI — building across the full stack with NVIDIA technologies. NVIDIA and its partners in Japan are this week showcasing the AI ecosystem’s latest advancements. Check back here for updates.   NVIDIA and SEGA Celebrate 30 Years of […] ]]></description>
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<pubDate>Wed, 15 Jul 2026 12:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, Japan, Bring, Full-Stack, and, Robotics, Every, Industry</media:keywords>
</item>

<item>
<title>Multi&amp;agent social intelligence with Strands Agents and Amazon Bedrock</title>
<link>https://news.jatlink.uk/15912</link>
<guid>https://news.jatlink.uk/15912</guid>
<description><![CDATA[ This post shows how Thrad.ai deployed a multi-agent system with Strands Agents and Amazon Bedrock AgentCore that automates the pipeline from prospect discovery through personalized email generation. The post compares two orchestration patterns (Swarm and Graph) with head-to-head benchmarks on latency, cost, and email quality. You’ll also learn how the system scores prospects using weighted criteria, intent classification, and temporal decay, plus governance controls for production deployment. ]]></description>
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<pubDate>Tue, 14 Jul 2026 23:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Multi-agent, social, intelligence, with, Strands, Agents, and, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Nemotron Labs: How Open Models Give Enterprises and Nations AI They Can Trust, Control and Customize</title>
<link>https://news.jatlink.uk/15898</link>
<guid>https://news.jatlink.uk/15898</guid>
<description><![CDATA[ Enterprises have plenty of powerful models to choose from. The real test is whether the AI an enterprise builds uniquely addresses the needs of the business: improving workflows, tapping into domain knowledge and exceeding standards for accuracy and trust. ]]></description>
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<pubDate>Tue, 14 Jul 2026 20:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Nemotron, Labs:, How, Open, Models, Give, Enterprises, and, Nations, They, Can, Trust, Control, and, Customize</media:keywords>
</item>

<item>
<title>Why Performance per Watt Is the Ultimate Metric for AI Infrastructure Efficiency</title>
<link>https://news.jatlink.uk/15899</link>
<guid>https://news.jatlink.uk/15899</guid>
<description><![CDATA[ Power is AI infrastructure’s inescapable constraint. How many tokens an AI factory can generate within a fixed power budget determines its revenue and profitability. Because of this, performance per watt — a metric that can’t be gamed, only earned through real-world results — is the foundation for AI factories.  As agentic AI drives token demand […] ]]></description>
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<pubDate>Tue, 14 Jul 2026 20:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Why, Performance, per, Watt, the, Ultimate, Metric, for, Infrastructure, Efficiency</media:keywords>
</item>

<item>
<title>ScienceSoft’s HIPAA&amp;compliant AI voice scheduler built on AWS</title>
<link>https://news.jatlink.uk/15897</link>
<guid>https://news.jatlink.uk/15897</guid>
<description><![CDATA[ In this post, you will learn how ScienceSoft, an Amazon Web Services (AWS) Services Partner, integrated Amazon Nova 2 Sonic with Amazon Bedrock Guardrails to build a Health Insurance Portability and Accountability Act (HIPAA)-compliant AI voice scheduler. You will see how the solution addresses healthcare scheduling challenges while maintaining privacy, compliance, and responsible AI standards, and how you can apply the same architecture to your own workflows. ]]></description>
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<pubDate>Tue, 14 Jul 2026 19:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>ScienceSoft’s, HIPAA-compliant, voice, scheduler, built, AWS</media:keywords>
</item>

<item>
<title>Scaling medical content review at Flo Health with Amazon Bedrock – Part 2</title>
<link>https://news.jatlink.uk/15896</link>
<guid>https://news.jatlink.uk/15896</guid>
<description><![CDATA[ In this post, we share how Flo Health’s engineering team turned a proof of concept (PoC) from the AWS Generative AI Innovation Center into a production-grade, AI-powered medical content review and generation system built on Amazon Bedrock. T ]]></description>
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<pubDate>Tue, 14 Jul 2026 19:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Scaling, medical, content, review, Flo, Health, with, Amazon, Bedrock, –, Part</media:keywords>
</item>

<item>
<title>Accelerating software delivery with agentic QA automation using Amazon Nova Act – Part 2</title>
<link>https://news.jatlink.uk/15894</link>
<guid>https://news.jatlink.uk/15894</guid>
<description><![CDATA[ In this post, we extend that foundation to demonstrate how QA Studio addresses batch regression testing and pipeline integration through test suites that organize and parallelize execution, and a command-line interface that brings agentic testing into automated CI/CD pipelines. ]]></description>
<enclosure url="http://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2026/07/14/ML-20773.png" length="49398" type="image/jpeg"/>
<pubDate>Tue, 14 Jul 2026 19:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Accelerating, software, delivery, with, agentic, automation, using, Amazon, Nova, Act, –, Part</media:keywords>
</item>

<item>
<title>Scaling UX testing with Amazon Nova Act: A new approach to user flow analysis</title>
<link>https://news.jatlink.uk/15895</link>
<guid>https://news.jatlink.uk/15895</guid>
<description><![CDATA[ Using generative AI enables parallel execution of comprehensive user flow testing at scale. This solution demonstrates how to build a cloud-deployed UX testing platform that automatically generates test scenarios from documentation, executes user flows at scale using the intelligent navigation capabilities of Nova Act, and provides actionable insights through automated analysis. ]]></description>
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<pubDate>Tue, 14 Jul 2026 19:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Scaling, testing, with, Amazon, Nova, Act:, new, approach, user, flow, analysis</media:keywords>
</item>

<item>
<title>How to manage AI investments in the agentic era</title>
<link>https://news.jatlink.uk/15893</link>
<guid>https://news.jatlink.uk/15893</guid>
<description><![CDATA[ Learn how enterprises can manage AI investments in the agentic era by measuring useful work per dollar, improving efficiency, and scaling high-value workflows. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 14 Jul 2026 19:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, manage, investments, the, agentic, era</media:keywords>
</item>

<item>
<title>How sales teams use ChatGPT Work</title>
<link>https://news.jatlink.uk/15874</link>
<guid>https://news.jatlink.uk/15874</guid>
<description><![CDATA[ See how sales teams can use ChatGPT Work to create pipeline briefs, meeting prep packets, forecast reviews, account plans, and stalled-deal diagnoses from real work inputs. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 14 Jul 2026 14:00:21 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, sales, teams, use, ChatGPT, Work</media:keywords>
</item>

<item>
<title>How data science teams use ChatGPT Work</title>
<link>https://news.jatlink.uk/15875</link>
<guid>https://news.jatlink.uk/15875</guid>
<description><![CDATA[ See how data science teams can use ChatGPT Work to build root-cause briefs, impact readouts, KPI memos, scoped analyses, and dashboard specs from real work inputs. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 14 Jul 2026 14:00:21 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, data, science, teams, use, ChatGPT, Work</media:keywords>
</item>

<item>
<title>OpenAI GPT&amp;5.6 Sol, Terra, and Luna are now generally available on Amazon Bedrock</title>
<link>https://news.jatlink.uk/15824</link>
<guid>https://news.jatlink.uk/15824</guid>
<description><![CDATA[ Today, GPT-5.6 Sol, Terra, and Luna from OpenAI are generally available on Amazon Bedrock, bringing the smartest family of models from OpenAI yet to Amazon Bedrock’s next-generation inference engine built for high-performance, security and reliability. ]]></description>
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<pubDate>Mon, 13 Jul 2026 23:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, GPT-5.6, Sol, Terra, and, Luna, are, now, generally, available, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Implement on&amp;behalf&amp;of token exchange for multi&amp;tenant agents with Amazon Bedrock AgentCore Gateway</title>
<link>https://news.jatlink.uk/15806</link>
<guid>https://news.jatlink.uk/15806</guid>
<description><![CDATA[ Building multi-tenant agents with Amazon Bedrock AgentCore and Apply fine-grained access control with Bedrock AgentCore Gateway interceptors establish the conceptual foundation for on-behalf-of (OBO) token exchange in agentic systems. This post is the implementation guide. It walks through a complete multi-tenant OBO setup against Okta, shows the JSON Web Token (JWT) claim transformations on each hop, and demonstrates how audience binding produces defense in depth that scales across tenants. ]]></description>
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<pubDate>Mon, 13 Jul 2026 19:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Implement, on-behalf-of, token, exchange, for, multi-tenant, agents, with, Amazon, Bedrock, AgentCore, Gateway</media:keywords>
</item>

<item>
<title>Launching UI for generative AI inference recommendations in Amazon SageMaker AI</title>
<link>https://news.jatlink.uk/15807</link>
<guid>https://news.jatlink.uk/15807</guid>
<description><![CDATA[ In this post, we introduce the UI for optimized generative AI inference recommendations in Amazon SageMaker AI Studio, a low-code no-code (LCNC) experience. The API already gives you programmatic access to recommendations, but it assumes you know which parameters to set and how to interpret raw benchmark output. The UI removes that assumption. It guides you through preset use-case profiles, visual comparisons of results, and one-click deployment, so teams without deep infrastructure expertise can get a validated configuration on their own. ]]></description>
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<pubDate>Mon, 13 Jul 2026 19:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Launching, for, generative, inference, recommendations, Amazon, SageMaker</media:keywords>
</item>

<item>
<title>When your brain works differently, AI isn’t a luxury—it’s accessibility</title>
<link>https://news.jatlink.uk/15804</link>
<guid>https://news.jatlink.uk/15804</guid>
<description><![CDATA[ In this post, I share how AI serves as an accessibility tool for neurodivergent professionals. The system is built on Amazon Quick on your desktop, an AI-powered desktop and web assistant that compensates for executive function gaps every day. ]]></description>
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<pubDate>Mon, 13 Jul 2026 19:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>When, your, brain, works, differently, isn’t, luxury—it’s, accessibility</media:keywords>
</item>

<item>
<title>Building an agentic AI solution at Bluesight with Amazon Bedrock</title>
<link>https://news.jatlink.uk/15805</link>
<guid>https://news.jatlink.uk/15805</guid>
<description><![CDATA[ In this post, we describe how Bluesight used two AWS engagements and Amazon Bedrock AgentCore to evolve from a single-product AI prototype to Prism, a unified agentic AI solution spanning six healthcare compliance products. Prism Assistant for ControlCheck launched in May 2026 and is already in use by 20 health systems. A more complex multi-product agentic solution is on track for later in 2026. ]]></description>
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<pubDate>Mon, 13 Jul 2026 19:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, agentic, solution, Bluesight, with, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Disaggregated prefill and decode for LLM inference on SageMaker HyperPod</title>
<link>https://news.jatlink.uk/15600</link>
<guid>https://news.jatlink.uk/15600</guid>
<description><![CDATA[ In this post, we show how to implement DPD with vLLM on Amazon SageMaker HyperPod using the HyperPod Inference Operator. ]]></description>
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<pubDate>Fri, 10 Jul 2026 19:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Disaggregated, prefill, and, decode, for, LLM, inference, SageMaker, HyperPod</media:keywords>
</item>

<item>
<title>Real&amp;time dental image verification with Amazon SageMaker AI at Henry Schein One</title>
<link>https://news.jatlink.uk/15595</link>
<guid>https://news.jatlink.uk/15595</guid>
<description><![CDATA[ This post describes how Henry Schein One closed that gap by building Image Verify, an AI-powered quality verification system on Amazon SageMaker AI that evaluates dental X-ray quality at the point of capture, in real time, across thousands of locations. The system went from concept to over 10,000 active locations within months and has already processed over 11 million X-rays and growing at 1.5 million per week. Henry Schein One is now scaling toward 40,000 locations globally across four regions. ]]></description>
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<pubDate>Fri, 10 Jul 2026 19:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Real-time, dental, image, verification, with, Amazon, SageMaker, Henry, Schein, One</media:keywords>
</item>

<item>
<title>Build a semantic layer for agentic AI on AWS with Stardog and Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/15596</link>
<guid>https://news.jatlink.uk/15596</guid>
<description><![CDATA[ In this post we show how to build a semantic layer on AWS using Stardog’s Semantic AI Application over Amazon Aurora and Amazon Redshift, and how to run a Strands Agents agent on Amazon Bedrock AgentCore that queries the layer to answer customer 360 questions across both sources without extract, transform, and load (ETL). The same Stardog deployment works behind AWS computes (Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Container Service (Amazon ECS), and AWS Lambda). We use AgentCore here because it bundles inbound auth, hosting, and tool credentials into one managed service. ]]></description>
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<pubDate>Fri, 10 Jul 2026 19:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, semantic, layer, for, agentic, AWS, with, Stardog, and, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Scaling agentic workflows with native case management in Amazon Quick Automate</title>
<link>https://news.jatlink.uk/15597</link>
<guid>https://news.jatlink.uk/15597</guid>
<description><![CDATA[ In this post, we show you how to combine case management with agentic automation capabilities in Quick Automate. We introduce case management and explore the lifecycle of cases in an agentic workflow from case creation through processing to resolution. We cover how to create and manage single or multiple cases, automatically track and update status, handle exceptions, and incorporate Human-in-the-loop (HITL) steps within workflows. We also show the case creator-processor pattern that enables dynamic scaling. Finally, we walk through how to structure case management for enterprise processes, including HITL and case tracking, through a real-life use case. ]]></description>
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<pubDate>Fri, 10 Jul 2026 19:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Scaling, agentic, workflows, with, native, case, management, Amazon, Quick, Automate</media:keywords>
</item>

<item>
<title>Deploying quantized models on Amazon SageMaker AI with Unsloth</title>
<link>https://news.jatlink.uk/15598</link>
<guid>https://news.jatlink.uk/15598</guid>
<description><![CDATA[ In this post, you will learn four deployment patterns for taking models that have already been quantized with Unsloth and deploying them on AWS infrastructure. The patterns use Amazon Elastic Compute Cloud (Amazon EC2) for direct instance access, Amazon SageMaker AI inference endpoints for managed serving, and Amazon Elastic Kubernetes Service (Amazon EKS) or Amazon Elastic Container Service (Amazon ECS) when inference needs to fit into an existing container framework. You also learn operational practices for production deployments. ]]></description>
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<pubDate>Fri, 10 Jul 2026 19:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Deploying, quantized, models, Amazon, SageMaker, with, Unsloth</media:keywords>
</item>

<item>
<title>How KTern.AI built agentic AI for SAP on Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/15599</link>
<guid>https://news.jatlink.uk/15599</guid>
<description><![CDATA[ Evolving from a traditional software as a service (SaaS) platform into a next-generation agentic AI platform meant orchestrating multiple specialized agents across long-running enterprise programs. Each agent operates with persistent context, secure tool access, and production-grade reliability. We built that system on Amazon Bedrock AgentCore using the Strands Agents SDK. This post walks through how we architected it, which agents we built, and the outcomes for our customers. ]]></description>
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<pubDate>Fri, 10 Jul 2026 19:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, KTern.AI, built, agentic, for, SAP, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Fine&amp;tune NVIDIA Nemotron 3 models with Amazon SageMaker AI serverless model customization</title>
<link>https://news.jatlink.uk/15594</link>
<guid>https://news.jatlink.uk/15594</guid>
<description><![CDATA[ In this post, we explore what makes the Nemotron 3 architecture unique, walk through the fine-tuning techniques available, and show you step-by-step how to get started with serverless customization using SageMaker Studio. ]]></description>
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<pubDate>Fri, 10 Jul 2026 19:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Fine-tune, NVIDIA, Nemotron, models, with, Amazon, SageMaker, serverless, model, customization</media:keywords>
</item>

<item>
<title>How Deutsche Telekom is rewiring telecommunications with AI</title>
<link>https://news.jatlink.uk/15564</link>
<guid>https://news.jatlink.uk/15564</guid>
<description><![CDATA[ How Deutsche Telekom is becoming an AI-native telco with OpenAI-transforming customer service, employee workflows, network operations, and the future of voice. ]]></description>
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<pubDate>Fri, 10 Jul 2026 10:00:33 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Deutsche, Telekom, rewiring, telecommunications, with</media:keywords>
</item>

<item>
<title>GPT&amp;5.6 is now the preferred model in Microsoft 365 Copilot</title>
<link>https://news.jatlink.uk/15526</link>
<guid>https://news.jatlink.uk/15526</guid>
<description><![CDATA[ Learn how GPT-5.6 powers Microsoft 365 Copilot with stronger AI capabilities across Word, Excel, PowerPoint, Chat, and Cowork for faster, higher-quality work. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 09 Jul 2026 22:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>GPT-5.6, now, the, preferred, model, Microsoft, 365, Copilot</media:keywords>
</item>

<item>
<title>Enhancing enterprise inference on Amazon SageMaker HyperPod with data capture, Hugging Face, NVMe, and Route 53 integration</title>
<link>https://news.jatlink.uk/15512</link>
<guid>https://news.jatlink.uk/15512</guid>
<description><![CDATA[ In this post, we walk through five capabilities now available in SageMaker HyperPod inference: multi-tier data capture for auditing and model improvement, direct deployment from Hugging Face Hub, local NVMe model loading for faster cold starts, automated Route 53 DNS for custom domains, and pod-level IAM through custom service accounts. ]]></description>
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<pubDate>Thu, 09 Jul 2026 19:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Enhancing, enterprise, inference, Amazon, SageMaker, HyperPod, with, data, capture, Hugging, Face, NVMe, and, Route, integration</media:keywords>
</item>

<item>
<title>GPT&amp;5.6: Frontier intelligence that scales with your ambition</title>
<link>https://news.jatlink.uk/15510</link>
<guid>https://news.jatlink.uk/15510</guid>
<description><![CDATA[ More intelligence from every token, stronger performance per dollar, and more capability on demand for your hardest work. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 09 Jul 2026 19:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>GPT-5.6:, Frontier, intelligence, that, scales, with, your, ambition</media:keywords>
</item>

<item>
<title>MCP tool design: Practical approaches and tradeoffs</title>
<link>https://news.jatlink.uk/15511</link>
<guid>https://news.jatlink.uk/15511</guid>
<description><![CDATA[ In this post, we show where MCP tool design goes wrong and how to fix it with practical context engineering approaches. ]]></description>
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<pubDate>Thu, 09 Jul 2026 19:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>MCP, tool, design:, Practical, approaches, and, tradeoffs</media:keywords>
</item>

<item>
<title>ChatGPT is now a partner for your most ambitious work</title>
<link>https://news.jatlink.uk/15509</link>
<guid>https://news.jatlink.uk/15509</guid>
<description><![CDATA[ ChatGPT Work is an agent that can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 09 Jul 2026 19:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>ChatGPT, now, partner, for, your, most, ambitious, work</media:keywords>
</item>

<item>
<title>GeForce NOW Turns Up the Heat With New GeForce RTX 5080&amp;Powered Toronto Server</title>
<link>https://news.jatlink.uk/15496</link>
<guid>https://news.jatlink.uk/15496</guid>
<description><![CDATA[ This GFN Thursday brings more games, more power and more ways to play on GeForce NOW.  The cloud gaming service is expanding with a new GeForce RTX 5080-powered server in Toronto, bringing dedicated high performance in the cloud closer to members across the region. NTE: Neverness to Everness also gets an update in the cloud, […] ]]></description>
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<pubDate>Thu, 09 Jul 2026 16:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>GeForce, NOW, Turns, the, Heat, With, New, GeForce, RTX, 5080-Powered, Toronto, Server</media:keywords>
</item>

<item>
<title>Our approach to government and national security partnerships</title>
<link>https://news.jatlink.uk/15446</link>
<guid>https://news.jatlink.uk/15446</guid>
<description><![CDATA[ Learn how OpenAI approaches government and national security partnerships, with principles for responsible AI use, democratic accountability, and public safety. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 08 Jul 2026 23:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Our, approach, government, and, national, security, partnerships</media:keywords>
</item>

<item>
<title>Separating signal from noise in coding evaluations</title>
<link>https://news.jatlink.uk/15447</link>
<guid>https://news.jatlink.uk/15447</guid>
<description><![CDATA[ A new analysis from OpenAI reveals issues in SWE-Bench Pro, a popular coding benchmark, raising concerns about reliability and accuracy in evaluating AI models. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 08 Jul 2026 23:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Separating, signal, from, noise, coding, evaluations</media:keywords>
</item>

<item>
<title>Introducing Claude apps gateway for AWS</title>
<link>https://news.jatlink.uk/15448</link>
<guid>https://news.jatlink.uk/15448</guid>
<description><![CDATA[ Today, we&#039;re announcing the Claude apps gateway for AWS, a self-hosted control plane that gives organizations a single point of control over access, cost, and policy for Claude Code and Claude Desktop. In this post, we show how to set up and run Claude apps gateway for AWS with Amazon Bedrock and Claude Platform on AWS. ]]></description>
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<pubDate>Wed, 08 Jul 2026 23:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, Claude, apps, gateway, for, AWS</media:keywords>
</item>

<item>
<title>Helping K–12 educators build practical AI skills</title>
<link>https://news.jatlink.uk/15444</link>
<guid>https://news.jatlink.uk/15444</guid>
<description><![CDATA[ OpenAI Academy and the Walton Family Foundation are bringing hands-on AI Skills Jams to help K–12 educators build practical AI skills for the classroom. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 08 Jul 2026 21:00:19 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Helping, K–12, educators, build, practical, skills</media:keywords>
</item>

<item>
<title>Introducing GPT&amp;Live</title>
<link>https://news.jatlink.uk/15445</link>
<guid>https://news.jatlink.uk/15445</guid>
<description><![CDATA[ A new generation of voice models for natural human-AI interaction, now powering ChatGPT Voice. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 08 Jul 2026 21:00:19 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, GPT-Live</media:keywords>
</item>

<item>
<title>NVIDIA Nemotron Achieves Benchmark&amp;Leading Performance With LangChain Deep Agents Harness</title>
<link>https://news.jatlink.uk/15430</link>
<guid>https://news.jatlink.uk/15430</guid>
<description><![CDATA[ NVIDIA Nemotron 3 Ultra is offering leading performance at lower cost than top closed models with the largest and most widely adopted AI agent orchestration platform.  LangChain tuned its Deep Agents harness for NVIDIA Nemotron 3 Ultra, achieving the highest accuracy among open models, while completing more tasks at higher throughput and running at 10x […] ]]></description>
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<pubDate>Wed, 08 Jul 2026 19:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Nemotron, Achieves, Benchmark-Leading, Performance, With, LangChain, Deep, Agents, Harness</media:keywords>
</item>

<item>
<title>Automatically sort and prioritize your mailboxes by using Amazon Bedrock</title>
<link>https://news.jatlink.uk/15426</link>
<guid>https://news.jatlink.uk/15426</guid>
<description><![CDATA[ In this post, we show how organizations in the public sector can automate their email management using a generative AI solution powered by Amazon Bedrock. ]]></description>
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<pubDate>Wed, 08 Jul 2026 18:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Automatically, sort, and, prioritize, your, mailboxes, using, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Manage AI applications on Mac with Jamf’s AI Governance and Amazon Bedrock</title>
<link>https://news.jatlink.uk/15429</link>
<guid>https://news.jatlink.uk/15429</guid>
<description><![CDATA[ In this post, we show how you can use Jamf’s AI Governance with Amazon Bedrock to configure, deploy, and validate managed settings for AI applications across a Mac fleet. ]]></description>
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<pubDate>Wed, 08 Jul 2026 18:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Manage, applications, Mac, with, Jamf’s, Governance, and, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Powering scientific discovery: BYOKG and GraphRAG for intelligent pharmaceutical research</title>
<link>https://news.jatlink.uk/15425</link>
<guid>https://news.jatlink.uk/15425</guid>
<description><![CDATA[ In this post, we explore how Graph-based Retrieval Augmented Generation (GraphRAG) is transforming scientific research by combining graph databases with generative AI. With this approach, you can accelerate discovery processes without compromising scientific integrity. ]]></description>
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<pubDate>Wed, 08 Jul 2026 18:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Powering, scientific, discovery:, BYOKG, and, GraphRAG, for, intelligent, pharmaceutical, research</media:keywords>
</item>

<item>
<title>Building and connecting a production&amp;ready ecommerce MCP server using Amazon Bedrock AgentCore and Mistral AI Studio</title>
<link>https://news.jatlink.uk/15427</link>
<guid>https://news.jatlink.uk/15427</guid>
<description><![CDATA[ In this post, you build and connect that server end to end. You will implement MCP tools, set up two-layer JSON Web Token (JWT) authentication, deploy with AWS Cloud Development Kit (AWS CDK), and connect the result to Mistral AI’s Vibe. The post also covers prerequisites, solution architecture, best practices for MCP servers and Vibe connectors, and resource cleanup. The ecommerce server that you build supports product search, order placement, review submission, and returns processing using Amazon DynamoDB for data and Amazon Cognito for identity management. ]]></description>
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<pubDate>Wed, 08 Jul 2026 18:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, and, connecting, production-ready, ecommerce, MCP, server, using, Amazon, Bedrock, AgentCore, and, Mistral, Studio</media:keywords>
</item>

<item>
<title>Securing Amazon Bedrock AgentCore Runtime with AWS WAF</title>
<link>https://news.jatlink.uk/15428</link>
<guid>https://news.jatlink.uk/15428</guid>
<description><![CDATA[ This post shows you two architecture patterns that address this problem. Both use an internet-facing ALB with AWS WAF and route traffic through a VPC Interface Endpoint to AgentCore Runtime. Pattern 1 places an AWS Lambda proxy between the ALB and the VPC Endpoint, giving you full control over request transformation. Pattern 2 targets the VPC Endpoint ENI IP addresses directly from the ALB, removing the Lambda hop entirely. You also learn how to close the direct-access backdoor with a resource policy so that traffic flows through AWS WAF only. Both patterns have been tested end-to-end with SigV4 and OAuth (Amazon Cognito JWT) authentication. ]]></description>
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<pubDate>Wed, 08 Jul 2026 18:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Securing, Amazon, Bedrock, AgentCore, Runtime, with, AWS, WAF</media:keywords>
</item>

<item>
<title>Designing Organisations That Can Keep Up With AI</title>
<link>https://news.jatlink.uk/15382</link>
<guid>https://news.jatlink.uk/15382</guid>
<description><![CDATA[ Why organisational latency is becoming the biggest barrier to fully realising AI’s benefits ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 08 Jul 2026 01:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Designing, Organisations, That, Can, Keep, With</media:keywords>
</item>

<item>
<title>Multi&amp;dataset Topic best practices for Amazon Quick Chat</title>
<link>https://news.jatlink.uk/15369</link>
<guid>https://news.jatlink.uk/15369</guid>
<description><![CDATA[ This post is for data architects, business intelligence (BI) engineers, and analytics engineers building or optimizing Quick Sight Topics for natural-language Chat-based exploration. ]]></description>
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<pubDate>Tue, 07 Jul 2026 22:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Multi-dataset, Topic, best, practices, for, Amazon, Quick, Chat</media:keywords>
</item>

<item>
<title>Data modeling patterns for Amazon Quick Sight multi&amp;dataset relationships</title>
<link>https://news.jatlink.uk/15368</link>
<guid>https://news.jatlink.uk/15368</guid>
<description><![CDATA[ In this post, we shift from concepts to patterns. For each schema, you’ll find a table structure, use cases, implementation steps, and sample SQL queries. We also cover workarounds for advanced scenarios that require extra modeling steps, and close with a summary of current limitations. ]]></description>
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<pubDate>Tue, 07 Jul 2026 22:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Data, modeling, patterns, for, Amazon, Quick, Sight, multi-dataset, relationships</media:keywords>
</item>

<item>
<title>Build a unified semantic layer across datasets with multi&amp;dataset Topics in Amazon Quick</title>
<link>https://news.jatlink.uk/15370</link>
<guid>https://news.jatlink.uk/15370</guid>
<description><![CDATA[ In this post, we walk through how multi-dataset Topics work, explain how the chat agent uses defined relationships to generate cross-dataset queries, and demonstrate an end-to-end implementation using a retail analytics scenario in Quick Sight. ]]></description>
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<pubDate>Tue, 07 Jul 2026 22:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, unified, semantic, layer, across, datasets, with, multi-dataset, Topics, Amazon, Quick</media:keywords>
</item>

<item>
<title>Enrich your datasets with business context: Migrating from legacy Topics to semantic datasets in Amazon Quick</title>
<link>https://news.jatlink.uk/15366</link>
<guid>https://news.jatlink.uk/15366</guid>
<description><![CDATA[ In this post, we walk through what Dataset Enrichment is, how it differs from legacy Topics, and provide three migration scenarios with step-by-step guidance so you can move your business context into the dataset layer with confidence. ]]></description>
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<pubDate>Tue, 07 Jul 2026 22:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Enrich, your, datasets, with, business, context:, Migrating, from, legacy, Topics, semantic, datasets, Amazon, Quick</media:keywords>
</item>

<item>
<title>Data modeling best practices for Amazon Quick Sight multi&amp;dataset relationships</title>
<link>https://news.jatlink.uk/15367</link>
<guid>https://news.jatlink.uk/15367</guid>
<description><![CDATA[ Today, we are excited to announce Multi-Dataset Relationships in Amazon Quick Sight. This new capability lets you define logical relationships between Quick Sight datasets and perform runtime joins at query time. Instead of flattening tables ahead of time, you keep each table as its own Quick Sight dataset and declare how those datasets relate to one another inside a Quick Sight Topic. ]]></description>
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<pubDate>Tue, 07 Jul 2026 22:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Data, modeling, best, practices, for, Amazon, Quick, Sight, multi-dataset, relationships</media:keywords>
</item>

<item>
<title>Australian Payments Plus moves faster with ChatGPT and Codex</title>
<link>https://news.jatlink.uk/15365</link>
<guid>https://news.jatlink.uk/15365</guid>
<description><![CDATA[ See how Australian Payments Plus uses ChatGPT Enterprise and Codex to move faster through payments complexity. AP+ saves time, improves quality, and keeps human judgment central. ]]></description>
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<pubDate>Tue, 07 Jul 2026 21:00:19 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Australian, Payments, Plus, moves, faster, with, ChatGPT, and, Codex</media:keywords>
</item>

<item>
<title>AI Innovators Adopt NVIDIA Vera — Why Max Single&amp;Threaded CPU at Scale Matters</title>
<link>https://news.jatlink.uk/15350</link>
<guid>https://news.jatlink.uk/15350</guid>
<description><![CDATA[ Max single-threaded CPUs at scale are a new category of CPUs built for the agentic AI era.  Across the creation and deployment of an agentic system, the CPU is on the critical path for reasoning, response time and learning. CPUs are the processor which executes the work the AI model commands: the tool calling, code […] ]]></description>
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<pubDate>Tue, 07 Jul 2026 19:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Innovators, Adopt, NVIDIA, Vera, —, Why, Max, Single-Threaded, CPU, Scale, Matters</media:keywords>
</item>

<item>
<title>How AWS Finance teams reclaimed hundreds of hours with Amazon Quick</title>
<link>https://news.jatlink.uk/15349</link>
<guid>https://news.jatlink.uk/15349</guid>
<description><![CDATA[ In this post, we show how AWS Finance used chat agents and Flows in Amazin Quick to transform two of their most time-consuming workflows. ]]></description>
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<pubDate>Tue, 07 Jul 2026 18:00:18 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, AWS, Finance, teams, reclaimed, hundreds, hours, with, Amazon, Quick</media:keywords>
</item>

<item>
<title>Build a serverless image editing agent with Amazon Bedrock AgentCore harness</title>
<link>https://news.jatlink.uk/15346</link>
<guid>https://news.jatlink.uk/15346</guid>
<description><![CDATA[ This post walks through building a serverless image editor where users upload a photo, describe an edit in plain English, and receive the result in seconds. The agent runs on AgentCore harness without custom orchestration code. We deploy the full solution, including authentication, encrypted storage, three image editing tools, and a React frontend, with a single deployment command. The infrastructure is defined using AWS Cloud Development Kit (AWS CDK). ]]></description>
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<pubDate>Tue, 07 Jul 2026 18:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, serverless, image, editing, agent, with, Amazon, Bedrock, AgentCore, harness</media:keywords>
</item>

<item>
<title>Monitoring discriminative ML models using Amazon SageMaker AI with MLflow</title>
<link>https://news.jatlink.uk/15347</link>
<guid>https://news.jatlink.uk/15347</guid>
<description><![CDATA[ Implementing a data and model monitoring solution is necessary to maintain prediction accuracy and help achieve the best outcome for your machine learning use case. This post shows how you can use open source Evidently together with Amazon SageMaker AI to generate monitoring reports, organize and compare the results in MLflow, scale through pipelines, and trigger drift notifications. ]]></description>
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<pubDate>Tue, 07 Jul 2026 18:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Monitoring, discriminative, models, using, Amazon, SageMaker, with, MLflow</media:keywords>
</item>

<item>
<title>Build an AI&amp;powered AWS support companion with Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/15348</link>
<guid>https://news.jatlink.uk/15348</guid>
<description><![CDATA[ In this post, you build an AWS Support Companion using Amazon Bedrock AgentCore. The agent uses Strands Agents as the orchestration framework and connects to AWS services through the Model Context Protocol (MCP). By the end, you have a working agent that can analyze CloudWatch logs, search AWS documentation, query community knowledge from AWS re:Post, and create support cases, all from a single conversational interface. The solution deploys with a single script using AWS CloudFormation and includes a web frontend built on AWS Amplify for interacting with the agent. ]]></description>
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<pubDate>Tue, 07 Jul 2026 18:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, AI-powered, AWS, support, companion, with, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community</title>
<link>https://news.jatlink.uk/15317</link>
<guid>https://news.jatlink.uk/15317</guid>
<description><![CDATA[ Open source AI has shown how quickly developers can innovate when models, data and tools are shared. Robotics has the same opportunity, but advancements in physical AI development can still be gated by costly and fragmented resources, from large datasets and robot foundation models to simulation, compute and validation tools. NVIDIA and Hugging Face are […] ]]></description>
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<pubDate>Tue, 07 Jul 2026 11:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, Hugging, Face, Bring, New, Models, and, Frameworks, LeRobot, for, the, Open, Robotics, Community</media:keywords>
</item>

<item>
<title>Teaching models to forget: Selective unlearning with Amazon Nova</title>
<link>https://news.jatlink.uk/15301</link>
<guid>https://news.jatlink.uk/15301</guid>
<description><![CDATA[ In this post, we introduce Reverse Direct Preference Optimization (rDPO), the novel unlearning technique behind Amazon Nova Customizable Content Moderation Settings (CCMS), and show how it reduces over-deflection while preserving model quality. We also provide pointers for customers who want to apply these preference optimization techniques to their own experiments. ]]></description>
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<pubDate>Tue, 07 Jul 2026 02:00:16 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Teaching, models, forget:, Selective, unlearning, with, Amazon, Nova</media:keywords>
</item>

<item>
<title>From Hugging Face to Amazon SageMaker Studio in one click</title>
<link>https://news.jatlink.uk/15300</link>
<guid>https://news.jatlink.uk/15300</guid>
<description><![CDATA[ Today, we’re excited to announce a deep-link integration between Hugging Face and Amazon SageMaker AI. Developers can now go from model discovery to hands-on experimentation in SageMaker Studio with a single selection. ]]></description>
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<pubDate>Tue, 07 Jul 2026 02:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>From, Hugging, Face, Amazon, SageMaker, Studio, one, click</media:keywords>
</item>

<item>
<title>Run MiniMax models on Amazon Bedrock</title>
<link>https://news.jatlink.uk/15287</link>
<guid>https://news.jatlink.uk/15287</guid>
<description><![CDATA[ In this post, we walk through how to get started with MiniMax models on Amazon Bedrock, including the capabilities supported by these models, the service tiers available, how on-demand inference scales to handle your workloads, and the different APIs you can use to access them. Using these models, customers can build agentic applications, long-context document analysis pipelines, and software engineering workflows, all backed by the security and operational guarantees of AWS. ]]></description>
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<pubDate>Mon, 06 Jul 2026 22:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Run, MiniMax, models, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>How Open Models Are Driving AI Research</title>
<link>https://news.jatlink.uk/15273</link>
<guid>https://news.jatlink.uk/15273</guid>
<description><![CDATA[ Every year, the International Conference on Machine Learning (ICML) reveals where thousands of AI researchers have decided to put their work.  This year’s accepted papers reveal a clear direction: open frontier models and open AI infrastructure have become foundational to how modern AI science gets done. NVIDIA had 74 papers accepted at ICML 2026. Approximately […] ]]></description>
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<pubDate>Mon, 06 Jul 2026 19:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Open, Models, Are, Driving, Research</media:keywords>
</item>

<item>
<title>How Nations Are Deploying AI for Strategic Priorities</title>
<link>https://news.jatlink.uk/15274</link>
<guid>https://news.jatlink.uk/15274</guid>
<description><![CDATA[ Nations have long invested in domestic infrastructure to advance their economies, protect and use their data, and take advantage of technology opportunities in areas such as transportation, communications, commerce, entertainment and healthcare. AI, the most important technology of our time, is turbocharging innovation across every facet of society. Countries are investing in AI capabilities so […] ]]></description>
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<pubDate>Mon, 06 Jul 2026 19:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Nations, Are, Deploying, for, Strategic, Priorities</media:keywords>
</item>

<item>
<title>Automatically redact PII in images with Amazon Nova</title>
<link>https://news.jatlink.uk/15271</link>
<guid>https://news.jatlink.uk/15271</guid>
<description><![CDATA[ In this post, we present a multi-step pipeline directed by Amazon Nova, which uses its contextual vision reasoning to coordinate complementary tools, including Meta’s open-source Segment Anything Model (SAM 3) deployed on Amazon SageMaker AI for pixel-level segmentation, and Amazon Textract for optical character recognition (OCR). This pipeline is designed to provide comprehensive and compliant PII redaction even for challenging edge cases such as fingerprints, ID cards, or license plates in arbitrary orientations. ]]></description>
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<pubDate>Mon, 06 Jul 2026 18:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Automatically, redact, PII, images, with, Amazon, Nova</media:keywords>
</item>

<item>
<title>Streaming benchmark and recommendation results to MLflow with Amazon SageMaker AI</title>
<link>https://news.jatlink.uk/15272</link>
<guid>https://news.jatlink.uk/15272</guid>
<description><![CDATA[ In this post, you learn how to use the new MLflow integration with Amazon SageMaker AI optimized inference recommendation jobs and Amazon SageMaker AI benchmark jobs to automatically stream experiment data into a unified tracking interface. This integration streams metrics, parameters, and charts into your serverless Amazon SageMaker MLflow App in real time and you get a unified experiment tracking experience. ]]></description>
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<pubDate>Mon, 06 Jul 2026 18:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Streaming, benchmark, and, recommendation, results, MLflow, with, Amazon, SageMaker</media:keywords>
</item>

<item>
<title>Deploying Multi&amp;Turn RL Infrastructure for Amazon Nova on Amazon SageMaker HyperPod</title>
<link>https://news.jatlink.uk/15270</link>
<guid>https://news.jatlink.uk/15270</guid>
<description><![CDATA[ In this post, you deploy a two-phase infrastructure for multi-turn RL using Amazon Nova Forge on Amazon SageMaker HyperPod. By the end, you have an event-driven pipeline that starts training when you upload data to Amazon Simple Storage Service (Amazon S3). The training job teaches the model to play Wordle, a placeholder for your own RL task. ]]></description>
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<pubDate>Mon, 06 Jul 2026 18:00:16 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Deploying, Multi-Turn, Infrastructure, for, Amazon, Nova, Amazon, SageMaker, HyperPod</media:keywords>
</item>

<item>
<title>Best practices for multi&amp;turn reinforcement learning in Amazon SageMaker AI</title>
<link>https://news.jatlink.uk/15024</link>
<guid>https://news.jatlink.uk/15024</guid>
<description><![CDATA[ In this post, we share best practices for reliable multi-turn RL training. We cover how to build a training environment you can trust, set up an external evaluation, design a reward aligned with the end task, manage what changes once the agent runs for multiple turns, and monitor the metrics that tell you when to iterate. ]]></description>
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<pubDate>Thu, 02 Jul 2026 22:00:19 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Best, practices, for, multi-turn, reinforcement, learning, Amazon, SageMaker</media:keywords>
</item>

<item>
<title>How Amazon Bedrock catches AI&amp;generated phishing</title>
<link>https://news.jatlink.uk/15023</link>
<guid>https://news.jatlink.uk/15023</guid>
<description><![CDATA[ Social engineering through phishing remains one of the most common tactics for launching cyberattacks. AI-generated phishing email messages now pose a new challenge for security teams managing email systems, significantly raising the risk because of their advanced sophistication. Modern social engineers use generative AI and open source intelligence (OSINT) to craft thousands of unique messages […] ]]></description>
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<pubDate>Thu, 02 Jul 2026 22:00:18 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Amazon, Bedrock, catches, AI-generated, phishing</media:keywords>
</item>

<item>
<title>Joyride Through July With 12 Games Coming to GeForce NOW</title>
<link>https://news.jatlink.uk/14993</link>
<guid>https://news.jatlink.uk/14993</guid>
<description><![CDATA[ Summer is heating up — and GeForce NOW is taking players along for the ride. Start the month with Monopoly: Star Wars Heroes vs. Villains, bringing a galaxy far, far away to the iconic board-game franchise, alongside 12 new games joining the cloud this month.  Plus, don’t let the sun set on the biggest GeForce […] ]]></description>
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<pubDate>Thu, 02 Jul 2026 15:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Joyride, Through, July, With, Games, Coming, GeForce, NOW</media:keywords>
</item>

<item>
<title>NVIDIA Unlocks AI Compute at Scale, Inviting Capital Partners to Power the AI Infrastructure Buildout</title>
<link>https://news.jatlink.uk/14970</link>
<guid>https://news.jatlink.uk/14970</guid>
<description><![CDATA[ As AI moves from model development to production inference, compute demand is accelerating and shifting toward continuously operating AI factories that generate tokens at scale. This shift requires access to large‑scale, multi‑tenant accelerated computing that can come online quickly, stay highly utilized and support the economics of token‑scale AI services.  Emerging AI companies historically have […] ]]></description>
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<pubDate>Thu, 02 Jul 2026 07:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Unlocks, Compute, Scale, Inviting, Capital, Partners, Power, the, Infrastructure, Buildout</media:keywords>
</item>

<item>
<title>Simplify model selection in Amazon Bedrock with the open source Model Profiler</title>
<link>https://news.jatlink.uk/14940</link>
<guid>https://news.jatlink.uk/14940</guid>
<description><![CDATA[ The Amazon Bedrock Model Profiler is an open source tool that aggregates model metadata from multiple AWS APIs and external sources into a single, searchable interface. In this post, you’ll learn what the Model Profiler provides, the real-world scenarios it supports, and how to deploy it in your own environment in under five minutes. ]]></description>
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<pubDate>Wed, 01 Jul 2026 22:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Simplify, model, selection, Amazon, Bedrock, with, the, open, source, Model, Profiler</media:keywords>
</item>

<item>
<title>Accelerate protein design with BoltzGen on Amazon SageMaker AI</title>
<link>https://news.jatlink.uk/14941</link>
<guid>https://news.jatlink.uk/14941</guid>
<description><![CDATA[ In this post, we demonstrate how to deploy BoltzGen on SageMaker AI and run an end-to-end protein design experiment. By the end of the walkthrough, you have a working setup that scales from quick validation runs to production batch processing. The setup offers two execution modes for different stages of research and uses step-level caching to reduce compute expenses during iterative workflows. ]]></description>
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<pubDate>Wed, 01 Jul 2026 22:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Accelerate, protein, design, with, BoltzGen, Amazon, SageMaker</media:keywords>
</item>

<item>
<title>HippoRAG: Neurobiologically inspired RAG using Amazon Bedrock, Amazon Neptune, and personalized PageRank</title>
<link>https://news.jatlink.uk/14938</link>
<guid>https://news.jatlink.uk/14938</guid>
<description><![CDATA[ In this post, we demonstrate how to implement HippoRAG using a comprehensive AWS stack. We use Amazon Bedrock for LLM capabilities, Amazon Neptune for graph database functionality, Amazon Neptune Analytics for advanced graph algorithms including Personalized PageRank, and Amazon Titan Embeddings for vector representations. This implementation showcases how to build and deploy HippoRAG within AWS infrastructure for enterprise-scale applications. ]]></description>
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<pubDate>Wed, 01 Jul 2026 22:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>HippoRAG:, Neurobiologically, inspired, RAG, using, Amazon, Bedrock, Amazon, Neptune, and, personalized, PageRank</media:keywords>
</item>

<item>
<title>How Inscribe uses Amazon Bedrock to stop document fraud in seconds</title>
<link>https://news.jatlink.uk/14939</link>
<guid>https://news.jatlink.uk/14939</guid>
<description><![CDATA[ In this post, you will learn how Inscribe developed an agentic AI system using Amazon Bedrock that reasons across documents the way an expert fraud analyst would. With this new agentic AI system, Inscribe now detects tampered, fabricated, and AI-generated financial documents in under 90 seconds. This is a 20x improvement over traditional manual review, while maintaining the accuracy and explainability required by financial services regulations. ]]></description>
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<pubDate>Wed, 01 Jul 2026 22:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Inscribe, uses, Amazon, Bedrock, stop, document, fraud, seconds</media:keywords>
</item>

<item>
<title>Building a serverless A2A gateway for agent discovery, routing, and access control</title>
<link>https://news.jatlink.uk/14936</link>
<guid>https://news.jatlink.uk/14936</guid>
<description><![CDATA[ In this post, you will learn how to build a serverless A2A gateway on AWS that hosts multiple agents behind a single domain using path-based routing (/agents/{agentId}). Standard A2A clients work without modification. ]]></description>
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<pubDate>Wed, 01 Jul 2026 22:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, serverless, A2A, gateway, for, agent, discovery, routing, and, access, control</media:keywords>
</item>

<item>
<title>Structured memory filtering with metadata in AgentCore Memory</title>
<link>https://news.jatlink.uk/14937</link>
<guid>https://news.jatlink.uk/14937</guid>
<description><![CDATA[ In this post, you will learn how metadata works across configuration, ingestion, and retrieval, explore enterprise use cases including multi-agent and multi-tenant architectures, and discover best practices for implementation. ]]></description>
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<pubDate>Wed, 01 Jul 2026 22:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Structured, memory, filtering, with, metadata, AgentCore, Memory</media:keywords>
</item>

<item>
<title>Run NVIDIA Nemotron and OpenAI GPT OSS models on Amazon Bedrock in AWS GovCloud (US)</title>
<link>https://news.jatlink.uk/14935</link>
<guid>https://news.jatlink.uk/14935</guid>
<description><![CDATA[ We&#039;re excited to introduce US-based frontier open-weight models in AWS GovCloud (US). With this release, Amazon Bedrock now supports OpenAI’s open-weight GPT OSS models (120B and 20B) and NVIDIA Nemotron (Nano 9B v2, Nano 12B v2, Nano 30B, Super 120B) models. In this post, we cover these models and their capabilities, the inference options for data residency, the available service tiers and how to get started. ]]></description>
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<pubDate>Wed, 01 Jul 2026 22:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Run, NVIDIA, Nemotron, and, OpenAI, GPT, OSS, models, Amazon, Bedrock, AWS, GovCloud, US</media:keywords>
</item>

<item>
<title>NVIDIA and Partners Build in America, for America</title>
<link>https://news.jatlink.uk/14912</link>
<guid>https://news.jatlink.uk/14912</guid>
<description><![CDATA[ NVIDIA and its partners are investing in American manufacturing, supply chains, energy grids and skilled workforces so the U.S. can produce the infrastructure needed for better healthcare, breakthrough scientific discovery, stronger industrial productivity and global technology leadership. ]]></description>
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<pubDate>Wed, 01 Jul 2026 15:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, Partners, Build, America, for, America</media:keywords>
</item>

<item>
<title>Safely Releasing Frontier Models to Customers</title>
<link>https://news.jatlink.uk/14886</link>
<guid>https://news.jatlink.uk/14886</guid>
<description><![CDATA[ It’s our goal for AWS to be the most secure place to run any workload, and in support of that we’ve been deeply investing in security across our services since AWS&#039;s inception more than two decades ago. Our AI services like Amazon Bedrock are built on this foundation and with the same focus.  ]]></description>
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<pubDate>Wed, 01 Jul 2026 06:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Safely, Releasing, Frontier, Models, Customers</media:keywords>
</item>

<item>
<title>Introducing Claude Sonnet 5 on AWS: Anthropic’s most capable Sonnet model</title>
<link>https://news.jatlink.uk/14859</link>
<guid>https://news.jatlink.uk/14859</guid>
<description><![CDATA[ Today, we’re excited to announce the availability of Anthropic’s most advanced Sonnet model, Claude Sonnet 5, on Amazon Bedrock and Claude Platform on AWS. Claude Sonnet 5 is the first Sonnet model of Anthropic’s latest generation and represents a meaningful step forward. It delivers top-tier intelligence at Sonnet pricing for coding, agents, and everyday professional […] ]]></description>
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<pubDate>Tue, 30 Jun 2026 22:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, Claude, Sonnet, AWS:, Anthropic’s, most, capable, Sonnet, model</media:keywords>
</item>

<item>
<title>Inside Genebench&amp;Pro</title>
<link>https://news.jatlink.uk/14857</link>
<guid>https://news.jatlink.uk/14857</guid>
<description><![CDATA[  ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 30 Jun 2026 21:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Inside, Genebench-Pro</media:keywords>
</item>

<item>
<title>Introducing GeneBench&amp;Pro</title>
<link>https://news.jatlink.uk/14858</link>
<guid>https://news.jatlink.uk/14858</guid>
<description><![CDATA[ Introducing GeneBench-Pro, a new benchmark testing AI performance in genomics, biology, and scientific research using complex, real-world datasets. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 30 Jun 2026 21:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, GeneBench-Pro</media:keywords>
</item>

<item>
<title>NVIDIA BioNeMo Agent Toolkit Brings Accelerated AI to Life Sciences Researchers in Claude Science</title>
<link>https://news.jatlink.uk/14843</link>
<guid>https://news.jatlink.uk/14843</guid>
<description><![CDATA[ Life sciences has entered an era of computational scale, and for more than a decade, NVIDIA has built the full GPU-accelerated computing stack — spanning hardware, frameworks, libraries, models, microservices and domain-specific tools — to help researchers run more sophisticated workflows and iterate faster. This week, Anthropic announced Claude Science, an AI workbench for science […] ]]></description>
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<pubDate>Tue, 30 Jun 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, BioNeMo, Agent, Toolkit, Brings, Accelerated, Life, Sciences, Researchers, Claude, Science</media:keywords>
</item>

<item>
<title>How NVIDIA’s Inference Software Stack Powers the Lowest Token Cost</title>
<link>https://news.jatlink.uk/14844</link>
<guid>https://news.jatlink.uk/14844</guid>
<description><![CDATA[ As organizations move from AI pilots to production AI factories, infrastructure decisions have shifted from peak chip specifications to cost per token: how many useful tokens they can deliver per dollar, per watt and within required latency targets. Codesigned with NVIDIA GPUs, CPUs, networking and systems, and strengthened by a broad open source ecosystem, NVIDIA’s […] ]]></description>
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<pubDate>Tue, 30 Jun 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, NVIDIA’s, Inference, Software, Stack, Powers, the, Lowest, Token, Cost</media:keywords>
</item>

<item>
<title>How Jaiveer Singh Is Helping Robots — and Developers — Move Faster</title>
<link>https://news.jatlink.uk/14845</link>
<guid>https://news.jatlink.uk/14845</guid>
<description><![CDATA[ When Jaiveer Singh talks about robots, he doesn’t begin with spectacle. He begins with infrastructure: the boards inside machines, the software that lets developers see through a robot’s cameras and the engineering required before a robot can leave a demo floor to do something useful. As a robotics software engineer who leads the team behind […] ]]></description>
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<pubDate>Tue, 30 Jun 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Jaiveer, Singh, Helping, Robots, —, and, Developers, —, Move, Faster</media:keywords>
</item>

<item>
<title>Building bilingual NER for cargo logistics with Amazon Bedrock</title>
<link>https://news.jatlink.uk/14841</link>
<guid>https://news.jatlink.uk/14841</guid>
<description><![CDATA[ In this post, we share the technical approach using token-based distillation, lessons learned, and deployment architecture. If you face similar bilingual NER challenges, you can benefit from IBS Software’s experience with the Amazon Bedrock knowledge distillation capabilities. ]]></description>
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<pubDate>Tue, 30 Jun 2026 18:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, bilingual, NER, for, cargo, logistics, with, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Implementing resilience patterns with Amazon Bedrock and LLM gateway</title>
<link>https://news.jatlink.uk/14839</link>
<guid>https://news.jatlink.uk/14839</guid>
<description><![CDATA[ In this post, you will learn five practical patterns for building resilient generative AI applications on AWS, progressing from native Amazon Bedrock features to multi-model orchestration using an LLM gateway. These patterns address real-world challenges such as quota exhaustion during unexpected traffic surges, maximizing availability through geographic distribution of inference, and helping prevent noisy neighbor problems in multi-tenant environments. ]]></description>
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<pubDate>Tue, 30 Jun 2026 18:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Implementing, resilience, patterns, with, Amazon, Bedrock, and, LLM, gateway</media:keywords>
</item>

<item>
<title>How Outpost VFX Uses AWS to Accelerate AI Model Training for Visual Effects</title>
<link>https://news.jatlink.uk/14840</link>
<guid>https://news.jatlink.uk/14840</guid>
<description><![CDATA[ In this post, we explore how Outpost VFX achieved 8x faster training speeds using AWS infrastructure to transform their face replacement workflow, the technical architecture they implemented to overcome single-GPU limitations, and the measurable results achieved through AWS multi-GPU training. ]]></description>
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<pubDate>Tue, 30 Jun 2026 18:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Outpost, VFX, Uses, AWS, Accelerate, Model, Training, for, Visual, Effects</media:keywords>
</item>

<item>
<title>Fine&amp;tune Amazon Nova models for accurate email data extraction</title>
<link>https://news.jatlink.uk/14842</link>
<guid>https://news.jatlink.uk/14842</guid>
<description><![CDATA[ In this post, you&#039;ll learn how fine-tuning Amazon Nova models using Amazon SageMaker AI addresses these specific issues by teaching the models to recognize your exact data patterns, distinguish between similar fields, and process information more efficiently—achieving up to 94.77% extraction accuracy while reducing costs 50%. ]]></description>
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<pubDate>Tue, 30 Jun 2026 18:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Fine-tune, Amazon, Nova, models, for, accurate, email, data, extraction</media:keywords>
</item>

<item>
<title>How ChatGPT adoption has expanded</title>
<link>https://news.jatlink.uk/14835</link>
<guid>https://news.jatlink.uk/14835</guid>
<description><![CDATA[ New OpenAI Signals data shows how ChatGPT adoption is growing globally, with users increasing usage, exploring more capabilities, and driving growth across regions and languages. ]]></description>
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<pubDate>Tue, 30 Jun 2026 18:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, ChatGPT, adoption, has, expanded</media:keywords>
</item>

<item>
<title>Core dump epidemiology: fixing an 18&amp;year&amp;old bug</title>
<link>https://news.jatlink.uk/14836</link>
<guid>https://news.jatlink.uk/14836</guid>
<description><![CDATA[ OpenAI engineers used large-scale core dump analysis to debug rare infrastructure crashes, uncovering both a hardware fault and a long-standing software bug. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 30 Jun 2026 18:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Core, dump, epidemiology:, fixing, 18-year-old, bug</media:keywords>
</item>

<item>
<title>Build generative UI for AI agents on Amazon Bedrock AgentCore with the AG&amp;UI protocol</title>
<link>https://news.jatlink.uk/14837</link>
<guid>https://news.jatlink.uk/14837</guid>
<description><![CDATA[ This post walks through how AG-UI integrates into the Fullstack AgentCore Solution Template (FAST) to build interactive agent frontends on Amazon Bedrock AgentCore. We then show how CopilotKit extends this with generative UI, shared state, and human-in-the-loop interactions, all deployed on Amazon Bedrock AgentCore. ]]></description>
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<pubDate>Tue, 30 Jun 2026 18:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, generative, for, agents, Amazon, Bedrock, AgentCore, with, the, AG-UI, protocol</media:keywords>
</item>

<item>
<title>Simplify multi&amp;account access to Amazon Bedrock models with managed entitlements</title>
<link>https://news.jatlink.uk/14838</link>
<guid>https://news.jatlink.uk/14838</guid>
<description><![CDATA[ In this post, we show you how to use managed entitlements for Amazon Bedrock to subscribe once from a central account and distribute model access across your organization. This approach removes the need for AWS Marketplace permissions in workload accounts. ]]></description>
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<pubDate>Tue, 30 Jun 2026 18:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Simplify, multi-account, access, Amazon, Bedrock, models, with, managed, entitlements</media:keywords>
</item>

<item>
<title>Into the Omniverse: Three Workflows for Improving Vision AI Agent Accuracy With Synthetic Data and Fine&amp;Tuning</title>
<link>https://news.jatlink.uk/14820</link>
<guid>https://news.jatlink.uk/14820</guid>
<description><![CDATA[ Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners, and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. Vision AI agents are becoming a practical way to automatically turn video data from the physical world into operational intelligence in factories, […] ]]></description>
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<pubDate>Tue, 30 Jun 2026 15:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Into, the, Omniverse:, Three, Workflows, for, Improving, Vision, Agent, Accuracy, With, Synthetic, Data, and, Fine-Tuning</media:keywords>
</item>

<item>
<title>Build an agentic AI healthcare claims pipeline with Amazon Bedrock and AWS HealthLake</title>
<link>https://news.jatlink.uk/14764</link>
<guid>https://news.jatlink.uk/14764</guid>
<description><![CDATA[ In this post, we show you how to build an automated claims processing pipeline using two key Amazon Bedrock capabilities: Amazon Bedrock Data Automation for intelligent document extraction from healthcare claim forms, and Amazon Bedrock AgentCore for hosting an AI agent that validates and transforms the extracted data into FHIR (Fast Healthcare Interoperable Resources) resources in AWS HealthLake. You will learn how to combine these services to create an end-to-end workflow that reduces manual processing while maintaining accuracy through automated validation checks. ]]></description>
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<pubDate>Mon, 29 Jun 2026 22:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, agentic, healthcare, claims, pipeline, with, Amazon, Bedrock, and, AWS, HealthLake</media:keywords>
</item>

<item>
<title>Debugging production agents with Amazon Bedrock AgentCore Observability</title>
<link>https://news.jatlink.uk/14765</link>
<guid>https://news.jatlink.uk/14765</guid>
<description><![CDATA[ In this post, you learn how to debug production agent failures using built-in observability capabilities. We walk through common failure patterns, show how to analyze agent behavior with traces and metrics, and provide structured workflows for resolving issues such as infinite loops and tool invocation failures. This is Part 1 of a two-part series. Part 2 covers performance optimization and memory management. ]]></description>
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<pubDate>Mon, 29 Jun 2026 22:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Debugging, production, agents, with, Amazon, Bedrock, AgentCore, Observability</media:keywords>
</item>

<item>
<title>Implement a backup strategy for Amazon Quick Sight BI assets</title>
<link>https://news.jatlink.uk/14761</link>
<guid>https://news.jatlink.uk/14761</guid>
<description><![CDATA[ In this post, we cover best practices for implementing an effective backup strategy for BI assets in Quick Sight. We start by covering the options for selecting the assets to include in your backup, then explain the high-level APIs available for that purpose, and finalize with sample code to help you get started quickly. ]]></description>
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<pubDate>Mon, 29 Jun 2026 22:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Implement, backup, strategy, for, Amazon, Quick, Sight, assets</media:keywords>
</item>

<item>
<title>Pair Nova 2 Lite with Claude for cost&amp;optimized document processing</title>
<link>https://news.jatlink.uk/14762</link>
<guid>https://news.jatlink.uk/14762</guid>
<description><![CDATA[ In this post, we show how pairing Amazon Nova 2 Lite with Anthropic’s Claude Sonnet 4.6 delivers an efficient solution for digitizing scanned documents at scale. We built a two-model pipeline on Amazon Bedrock for digitizing scanned yearbook pages. Amazon Nova 2 Lite handles native multimodal extraction in a single call: detecting photos, extracting visible names with coordinates, and returning page-level metadata. Claude Sonnet 4.6 then performs spatial reasoning to match names to faces based on page layout. ]]></description>
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<pubDate>Mon, 29 Jun 2026 22:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Pair, Nova, Lite, with, Claude, for, cost-optimized, document, processing</media:keywords>
</item>

<item>
<title>Multi&amp;tenant LLM analytics with row&amp;level security: How we built a secure agent on AWS</title>
<link>https://news.jatlink.uk/14763</link>
<guid>https://news.jatlink.uk/14763</guid>
<description><![CDATA[ In this post, we show you how PAR built a production-ready multi-tenant LLM analytics system that enforces row-level security through a three-layer architecture: cryptographic request signing with AWS SigV4, semantic validation on Amazon Bedrock, and programmatic data isolation via Split-Plane SQL. We demonstrate how each layer operates independently to reduce the risk of cross-tenant data exposure, even when the LLM itself is compromised or manipulated. ]]></description>
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<pubDate>Mon, 29 Jun 2026 22:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Multi-tenant, LLM, analytics, with, row-level, security:, How, built, secure, agent, AWS</media:keywords>
</item>

<item>
<title>Firefly Aerospace Operates NVIDIA Jetson in Lunar Orbit for the First Time</title>
<link>https://news.jatlink.uk/14747</link>
<guid>https://news.jatlink.uk/14747</guid>
<description><![CDATA[  ]]></description>
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<pubDate>Mon, 29 Jun 2026 19:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Firefly, Aerospace, Operates, NVIDIA, Jetson, Lunar, Orbit, for, the, First, Time</media:keywords>
</item>

<item>
<title>Claude Meets Blackwell Ultra: Anthropic’s Models Now Run on NVIDIA GB300 in Azure</title>
<link>https://news.jatlink.uk/14746</link>
<guid>https://news.jatlink.uk/14746</guid>
<description><![CDATA[ Anthropic’s Claude models in Microsoft Foundry — hosted on Microsoft Azure and running on NVIDIA GB300 Blackwell Ultra GPUs — are now generally available, giving Azure-native enterprises a powerful new way to build autonomous and domain-specific AI agents. As agentic AI continues to drive enterprise innovation and becomes more autonomous, organizations need access to computing […] ]]></description>
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<pubDate>Mon, 29 Jun 2026 19:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Claude, Meets, Blackwell, Ultra:, Anthropic’s, Models, Now, Run, NVIDIA, GB300, Azure</media:keywords>
</item>

<item>
<title>Open Models, Closed Environments: Palantir Brings Secure AI to US Agencies With NVIDIA Nemotron</title>
<link>https://news.jatlink.uk/14728</link>
<guid>https://news.jatlink.uk/14728</guid>
<description><![CDATA[ Showcasing the importance of open source innovation in American AI, Palantir’s new intelligent engine — introduced today — uses NVIDIA Nemotron open models to serve the needs of U.S. government agencies. Open source software has long been a pillar of U.S. technology leadership.  In 1969, DARPA connected four university computers — from UCLA, Stanford, UCSB […] ]]></description>
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<pubDate>Mon, 29 Jun 2026 15:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Open, Models, Closed, Environments:, Palantir, Brings, Secure, Agencies, With, NVIDIA, Nemotron</media:keywords>
</item>

<item>
<title>Mapping Europe’s AI Workforce Opportunity</title>
<link>https://news.jatlink.uk/14727</link>
<guid>https://news.jatlink.uk/14727</guid>
<description><![CDATA[ A new OpenAI report maps how AI could reshape jobs across the EU, highlighting which occupations may face automation, growth, or workflow changes. ]]></description>
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<pubDate>Mon, 29 Jun 2026 13:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Mapping, Europe’s, Workforce, Opportunity</media:keywords>
</item>

<item>
<title>HP Inc. launches Frontier strategic partnership with OpenAI</title>
<link>https://news.jatlink.uk/14704</link>
<guid>https://news.jatlink.uk/14704</guid>
<description><![CDATA[ HP Inc. scales its OpenAI Frontier partnership to deploy AI across customer experiences, software development, and enterprise operations. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Mon, 29 Jun 2026 02:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Inc., launches, Frontier, strategic, partnership, with, OpenAI</media:keywords>
</item>

<item>
<title>Previewing GPT&amp;5.6 Sol: a next&amp;generation model</title>
<link>https://news.jatlink.uk/14571</link>
<guid>https://news.jatlink.uk/14571</guid>
<description><![CDATA[ OpenAI previews GPT-5.6 Sol, a next-generation model with stronger capabilities in coding, science, and cybersecurity, paired with its most advanced safety stack. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 26 Jun 2026 21:00:16 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Previewing, GPT-5.6, Sol:, next-generation, model</media:keywords>
</item>

<item>
<title>How Cara pioneers domain&amp;specific AI for enterprise insurance brokerages with AWS</title>
<link>https://news.jatlink.uk/14557</link>
<guid>https://news.jatlink.uk/14557</guid>
<description><![CDATA[ In this post, we explore how Cara, built in cooperation with AWS, addresses these challenges. We walk through the technical design decisions and the AWS services that support the solution. We also share measurable outcomes Cara has delivered for enterprise brokerages. ]]></description>
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<pubDate>Fri, 26 Jun 2026 18:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Cara, pioneers, domain-specific, for, enterprise, insurance, brokerages, with, AWS</media:keywords>
</item>

<item>
<title>Production&amp;grade AI agents for financial compliance: Lessons from Stripe</title>
<link>https://news.jatlink.uk/14558</link>
<guid>https://news.jatlink.uk/14558</guid>
<description><![CDATA[ In this post, you learn how Stripe built a production-grade AI agent system for financial compliance. We cover the technical architecture of Stripe’s ReAct agent framework and the infrastructure decisions behind a dedicated agent service. We also discuss the role of human oversight in maintaining accountability, and key lessons about task decomposition, orchestration patterns, and cost optimization through prompt caching. By the end, you will understand how to design agentic systems that scale compliance operations without compromising quality or auditability. ]]></description>
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<pubDate>Fri, 26 Jun 2026 18:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Production-grade, agents, for, financial, compliance:, Lessons, from, Stripe</media:keywords>
</item>

<item>
<title>Build interactive PDF text extraction from Amazon S3</title>
<link>https://news.jatlink.uk/14556</link>
<guid>https://news.jatlink.uk/14556</guid>
<description><![CDATA[ In this post, you’ll build a server that extracts text from PDF files in Amazon S3 in real time. This protocol-based approach provides programmatic document access. You’ll walk through the architecture, set up the server, and run interactive document queries. Along the way, you’ll compare this approach with Amazon Textract so you can decide which tool fits your workload. ]]></description>
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<pubDate>Fri, 26 Jun 2026 18:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, interactive, PDF, text, extraction, from, Amazon</media:keywords>
</item>

<item>
<title>Retrofit, don’t rebuild: Agentic overlays for transforming legacy enterprise services</title>
<link>https://news.jatlink.uk/14484</link>
<guid>https://news.jatlink.uk/14484</guid>
<description><![CDATA[ In this technical collaboration between AWS and the authors, we present a pragmatic solution: agentic overlays. Agentic overlays are thin wrapper layers that transform traditional REST-based services into agents capable of participating in A2A interactions. They also expose REST APIs as tools compatible with the Model Context Protocol (MCP). Together, they let enterprises add A2A capabilities to existing REST services without rewriting business logic, without duplicating code, and without running parallel infrastructures. This reduces agent sprawl in the infrastructure by reusing existing services as agents. We provide reference architectures and sample code that show how to build agentic overlays. ]]></description>
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<pubDate>Thu, 25 Jun 2026 22:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Retrofit, don’t, rebuild:, Agentic, overlays, for, transforming, legacy, enterprise, services</media:keywords>
</item>

<item>
<title>Building agentic AI applications with a modern data mesh strategy on AWS</title>
<link>https://news.jatlink.uk/14472</link>
<guid>https://news.jatlink.uk/14472</guid>
<description><![CDATA[ This post shows how to build a governed, serverless data mesh on AWS that provides the secure, scalable data foundation production agentic AI requires. ]]></description>
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<pubDate>Thu, 25 Jun 2026 18:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, agentic, applications, with, modern, data, mesh, strategy, AWS</media:keywords>
</item>

<item>
<title>Optimize model training on Amazon SageMaker AI with NVIDIA Blackwell</title>
<link>https://news.jatlink.uk/14469</link>
<guid>https://news.jatlink.uk/14469</guid>
<description><![CDATA[ This post shows you how to configure training jobs on Amazon SageMaker AI to get the most out of Blackwell’s architecture on AWS. You learn how to select batch sizes and sequence lengths that take advantage of Blackwell’s expanded memory, choose the right precision format for your model size (1B to 64B parameters), and apply activation checkpointing strategically. By the end, you have a practical framework for tuning your training configuration and launching distributed training jobs on P6-B200 instances. ]]></description>
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<pubDate>Thu, 25 Jun 2026 18:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Optimize, model, training, Amazon, SageMaker, with, NVIDIA, Blackwell</media:keywords>
</item>

<item>
<title>Implementing super resolution by deploying SeedVR2 on Amazon SageMaker AI</title>
<link>https://news.jatlink.uk/14470</link>
<guid>https://news.jatlink.uk/14470</guid>
<description><![CDATA[ In this post, we demonstrate how to implement video upscaling using SeedVR2 on SageMaker AI. We cover the solution architecture, walk through the deployment steps, and show performance comparisons that highlight the quality improvements and processing efficiency you can achieve. By the end of this post, you’ll have the practical knowledge needed to implement this super resolution solution. ]]></description>
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<pubDate>Thu, 25 Jun 2026 18:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Implementing, super, resolution, deploying, SeedVR2, Amazon, SageMaker</media:keywords>
</item>

<item>
<title>Build self&amp;service AWS Health analytics to find actionable health insights with AI agents powered by Amazon Bedrock</title>
<link>https://news.jatlink.uk/14471</link>
<guid>https://news.jatlink.uk/14471</guid>
<description><![CDATA[ In this post, we show you how to build Chaplin (Customer Health and Planned Lifecycle Intelligence Nexus), an open source solution that uses AI agents exposed through the Model Context Protocol (MCP) to provide self-service health event analytics. ]]></description>
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<pubDate>Thu, 25 Jun 2026 18:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, self-service, AWS, Health, analytics, find, actionable, health, insights, with, agents, powered, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>The Ultimate Summer Sale Pairing: Steam Sale Meets GeForce NOW Discounts</title>
<link>https://news.jatlink.uk/14455</link>
<guid>https://news.jatlink.uk/14455</guid>
<description><![CDATA[ Summer savings are heating up. From the Steam Summer Sale to GeForce NOW membership discounts, this week’s GFN Thursday delivers double the deals and more ways to get the most value from cloud gaming. Plus, Dark Scrolls joins the growing Devolver lineup, alongside Square Enix’s The Adventures of Elliot: The Millennium Tales. They lead the […] ]]></description>
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<pubDate>Thu, 25 Jun 2026 15:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>The, Ultimate, Summer, Sale, Pairing:, Steam, Sale, Meets, GeForce, NOW, Discounts</media:keywords>
</item>

<item>
<title>How agents are transforming work</title>
<link>https://news.jatlink.uk/14454</link>
<guid>https://news.jatlink.uk/14454</guid>
<description><![CDATA[ A new OpenAI research paper shows how AI agents are transforming work, enabling longer, more complex tasks and expanding productivity across roles. ]]></description>
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<pubDate>Thu, 25 Jun 2026 13:01:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, agents, are, transforming, work</media:keywords>
</item>

<item>
<title>Build a healthcare appointment agent with Amazon Nova 2 Sonic</title>
<link>https://news.jatlink.uk/14393</link>
<guid>https://news.jatlink.uk/14393</guid>
<description><![CDATA[ In this post, you will learn how to build a voice agent that handles appointment reminder conversations using Amazon Nova 2 Sonic and Amazon Bedrock AgentCore. The agent authenticates patients by voice, manages appointments (confirm, cancel, or reschedule), collects pre-visit health information, and escalates to human staff when needed. You handle routine calls at scale, which can help reduce no-show rates. This sample focuses on the agentic side of the problem: voice conversation and tool orchestration. A browser-based interface is included for testing. To connect the agent to actual phone lines for outbound dialing, you would integrate a telephony service such as Amazon Connect Customer. ]]></description>
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<pubDate>Wed, 24 Jun 2026 22:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, healthcare, appointment, agent, with, Amazon, Nova, Sonic</media:keywords>
</item>

<item>
<title>AI&amp;powered BI with Snowflake and Amazon Quick</title>
<link>https://news.jatlink.uk/14394</link>
<guid>https://news.jatlink.uk/14394</guid>
<description><![CDATA[ In this post, you will learn how to build an end-to-end integration between Snowflake semantic views and Amazon Quick. The sample data is user review data for a media company. You start by loading movie review data from Amazon Simple Storage Service (Amazon S3) into Snowflake, define a semantic view in SQL to add business meaning, explore it with natural-language queries through Cortex Analyst, and then generate an Amazon Quick dataset and dashboard. The dataset can be created manually or with a provided automation script. By the end, your BI team or AI team can ask natural-language questions against a governed data layer and trust that every response reflects the same business logic. ]]></description>
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<pubDate>Wed, 24 Jun 2026 22:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>AI-powered, with, Snowflake, and, Amazon, Quick</media:keywords>
</item>

<item>
<title>Huntington Bank: Redacting sensitive data from 400M+ documents with AWS</title>
<link>https://news.jatlink.uk/14392</link>
<guid>https://news.jatlink.uk/14392</guid>
<description><![CDATA[ In this post, we walk through how Huntington built a scalable AWS solution to detect and redact Personally Identifiable Information (PII) and Payment Card Industry (PCI) data from over 400 million documents, reducing processing time from years to just a few months while achieving 95%+ redaction accuracy. ]]></description>
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<pubDate>Wed, 24 Jun 2026 22:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Huntington, Bank:, Redacting, sensitive, data, from, 400M, documents, with, AWS</media:keywords>
</item>

<item>
<title>How Loka Built a Natural, Low&amp;Latency Voice Agent with Amazon Nova 2 Sonic</title>
<link>https://news.jatlink.uk/14378</link>
<guid>https://news.jatlink.uk/14378</guid>
<description><![CDATA[ In this post, we demonstrate the architecture and approach Loka used to solve a common frustration: robotic, slow voice assistants that cause customers to hang up, damaging brand reputation and driving up support costs. ]]></description>
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<pubDate>Wed, 24 Jun 2026 18:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Loka, Built, Natural, Low-Latency, Voice, Agent, with, Amazon, Nova, Sonic</media:keywords>
</item>

<item>
<title>OpenAI and Broadcom unveil LLM&amp;optimized inference chip</title>
<link>https://news.jatlink.uk/14377</link>
<guid>https://news.jatlink.uk/14377</guid>
<description><![CDATA[ OpenAI and Broadcom introduce Jalapeño, a custom AI chip built for LLM inference to improve performance, efficiency, and scale across AI systems. ]]></description>
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<pubDate>Wed, 24 Jun 2026 17:00:24 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, and, Broadcom, unveil, LLM-optimized, inference, chip</media:keywords>
</item>

<item>
<title>NVIDIA and AWS Collaborate to Bring AI to Production at Scale</title>
<link>https://news.jatlink.uk/14327</link>
<guid>https://news.jatlink.uk/14327</guid>
<description><![CDATA[ Building AI systems at scale is demanding, requiring low-latency inference, fast vector search, strong GPU price-performance and infrastructure that can grow without multiplying operational complexity.  NVIDIA’s latest work with Amazon Web Services (AWS) addresses each of those constraints. Across Amazon OpenSearch and Amazon EC2, NVIDIA AI infrastructure is giving enterprises more practical paths to deploy […] ]]></description>
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<pubDate>Wed, 24 Jun 2026 03:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, AWS, Collaborate, Bring, Production, Scale</media:keywords>
</item>

<item>
<title>Helping build shared standards for advanced AI</title>
<link>https://news.jatlink.uk/14314</link>
<guid>https://news.jatlink.uk/14314</guid>
<description><![CDATA[ OpenAI helps build shared standards for advanced AI, supporting evaluation frameworks, safety practices, and global cooperation through the Appia Foundation. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 23 Jun 2026 22:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Helping, build, shared, standards, for, advanced</media:keywords>
</item>

<item>
<title>How GPT&amp;5 helped immunologist Derya Unutmaz solve a 3&amp;year&amp;old mystery</title>
<link>https://news.jatlink.uk/14313</link>
<guid>https://news.jatlink.uk/14313</guid>
<description><![CDATA[ GPT-5 Pro helped solve a 3-year-old immunology mystery, offering insights into T cell behavior. The breakthrough could support cancer and autoimmune research. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 23 Jun 2026 21:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, GPT-5, helped, immunologist, Derya, Unutmaz, solve, 3-year-old, mystery</media:keywords>
</item>

<item>
<title>Build a protein research copilot with Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/14300</link>
<guid>https://news.jatlink.uk/14300</guid>
<description><![CDATA[ This post shows you how to build a conversational protein research assistant that combines three capabilities: Natural language query parsing to extract structured search parameters, vector similarity search over protein embeddings using a specialized language model and ai-generated scientific summaries of search results. ]]></description>
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<pubDate>Tue, 23 Jun 2026 18:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, protein, research, copilot, with, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Shared infrastructure, isolated tenants: Pool model multi&amp;tenancy with Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/14301</link>
<guid>https://news.jatlink.uk/14301</guid>
<description><![CDATA[ In this post, you will learn patterns for implementing production-ready multi-tenant systems using Amazon Bedrock AgentCore. You will see these patterns demonstrated through healthcare AI agents that serve multiple clinics and hospitals. ]]></description>
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<pubDate>Tue, 23 Jun 2026 18:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Shared, infrastructure, isolated, tenants:, Pool, model, multi-tenancy, with, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>How Businesses Are Building Specialized AI They Can Trust</title>
<link>https://news.jatlink.uk/14282</link>
<guid>https://news.jatlink.uk/14282</guid>
<description><![CDATA[ Companies are asking how to build specialized AI that fits with the way their workflows actually run.  The first wave of enterprise AI was about access. Companies experimented with new frontier and open models, ran pilots and explored how AI can help.  Now, specialized agents — systems of models that can reason, use tools and […] ]]></description>
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<pubDate>Tue, 23 Jun 2026 15:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Businesses, Are, Building, Specialized, They, Can, Trust</media:keywords>
</item>

<item>
<title>NVIDIA Announces BioNeMo Agent Toolkit — Tools for Agents to Accelerate Scientific Discovery</title>
<link>https://news.jatlink.uk/14283</link>
<guid>https://news.jatlink.uk/14283</guid>
<description><![CDATA[ BIO -- NVIDIA today announced NVIDIA BioNeMo Agent Toolkit, which provides domain-specific tools and skills for the agentic life sciences era... ]]></description>
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<pubDate>Tue, 23 Jun 2026 15:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Announces, BioNeMo, Agent, Toolkit, —, Tools, for, Agents, Accelerate, Scientific, Discovery</media:keywords>
</item>

<item>
<title>NVIDIA Powers Over 400 of the World’s 500 Fastest Supercomputers</title>
<link>https://news.jatlink.uk/14270</link>
<guid>https://news.jatlink.uk/14270</guid>
<description><![CDATA[ News Highlights: NVIDIA technology runs 81% of the TOP500 and 90% of the systems new to the list. 26 systems on the TOP500 adopted the NVIDIA Grace CPU, up eight from the previous list. The top eight systems on the Green500 run on NVIDIA GPUs and nine of the top 10 use NVIDIA technologies. No. […] ]]></description>
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<pubDate>Tue, 23 Jun 2026 11:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Powers, Over, 400, the, World’s, 500, Fastest, Supercomputers</media:keywords>
</item>

<item>
<title>NVIDIA Brings Trusted, 24/7 AI Agents to Telecom Operations</title>
<link>https://news.jatlink.uk/14271</link>
<guid>https://news.jatlink.uk/14271</guid>
<description><![CDATA[ Telecom operators have seen remarkable returns from using generative AI to automate network management, customer care and back-office operations. Most of that impact has been task‑based: automation that speeds up predetermined steps while people manually correlate insights and direct next steps. Automation is no longer the finish line — it’s the launchpad to autonomy.  The […] ]]></description>
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<pubDate>Tue, 23 Jun 2026 11:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Brings, Trusted, 247, Agents, Telecom, Operations</media:keywords>
</item>

<item>
<title>How Omio is building the future of conversational travel</title>
<link>https://news.jatlink.uk/14268</link>
<guid>https://news.jatlink.uk/14268</guid>
<description><![CDATA[ Discover how Omio uses OpenAI to power conversational travel experiences, accelerate product development, and transform into an AI-native company. ]]></description>
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<pubDate>Tue, 23 Jun 2026 10:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Omio, building, the, future, conversational, travel</media:keywords>
</item>

<item>
<title>Building pay&amp;per&amp;intelligence for AI agents: How Ampersend uses Amazon Bedrock AgentCore Payments</title>
<link>https://news.jatlink.uk/14237</link>
<guid>https://news.jatlink.uk/14237</guid>
<description><![CDATA[ In this post, you will learn how Ampersend built a pay-per-intelligence routing layer on top of Amazon Bedrock AgentCore Payments. AI agents autonomously route tasks to the most effective model, pay per request, and operate within spending budgets. You will also see how the two-hop payment pattern works end-to-end and how to get started with your own implementation. ]]></description>
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<pubDate>Mon, 22 Jun 2026 22:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, pay-per-intelligence, for, agents:, How, Ampersend, uses, Amazon, Bedrock, AgentCore, Payments</media:keywords>
</item>

<item>
<title>Patch the Planet: a Daybreak initiative to support open source maintainers</title>
<link>https://news.jatlink.uk/14235</link>
<guid>https://news.jatlink.uk/14235</guid>
<description><![CDATA[ OpenAI introduces Patch the Planet, a Daybreak initiative helping open-source maintainers find, validate, and fix vulnerabilities with AI and expert review. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Mon, 22 Jun 2026 21:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Patch, the, Planet:, Daybreak, initiative, support, open, source, maintainers</media:keywords>
</item>

<item>
<title>Codex&amp;maxxing for long&amp;running work</title>
<link>https://news.jatlink.uk/14236</link>
<guid>https://news.jatlink.uk/14236</guid>
<description><![CDATA[ Learn how Jason Liu uses Codex to preserve context, manage complex projects, and help work continue beyond a single prompt. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Mon, 22 Jun 2026 21:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Codex-maxxing, for, long-running, work</media:keywords>
</item>

<item>
<title>Daybreak: Tools for securing every organization in the world</title>
<link>https://news.jatlink.uk/14234</link>
<guid>https://news.jatlink.uk/14234</guid>
<description><![CDATA[ OpenAI introduces new Daybreak tools, including Codex Security and GPT-5.5-Cyber, to help organizations find, validate, and patch vulnerabilities at scale. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Mon, 22 Jun 2026 21:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Daybreak:, Tools, for, securing, every, organization, the, world</media:keywords>
</item>

<item>
<title>Embed the world: Multimodal AI for searchable aerial imagery at scale</title>
<link>https://news.jatlink.uk/14222</link>
<guid>https://news.jatlink.uk/14222</guid>
<description><![CDATA[ In this post, we walk through the problem space, our architecture on Amazon Bedrock and Amazon OpenSearch Serverless, the evaluation methodology we built on OpenStreetMap ground truth, four experiments that compared embedding models, fusion strategies, captioning, and search methods, and the practical guidance you can apply when building a similar system. You’ll learn which design choices move the needle for geospatial semantic search, including why Amazon Nova Multimodal Embeddings delivered the highest F1 scores across both benchmark queries in our evaluation. The work described here evolved into Vexcel Intelligence, a searchable imagery product. ]]></description>
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<pubDate>Mon, 22 Jun 2026 18:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Embed, the, world:, Multimodal, for, searchable, aerial, imagery, scale</media:keywords>
</item>

<item>
<title>Running ComfyUI workflows on Amazon SageMaker AI processing jobs</title>
<link>https://news.jatlink.uk/14223</link>
<guid>https://news.jatlink.uk/14223</guid>
<description><![CDATA[ In this post, we walk you through how to deploy ComfyUI workflows on Amazon SageMaker AI processing jobs to generate hundreds of high-quality images in a single batch. You learn how to set up the infrastructure using AWS Cloud Development Kit (AWS CDK), configure GPU-accelerated processing, and automate image generation at scale. You can then adapt this solution to your ComfyUI workflows specific to your needs. We will guide you through a practical, step-by-step process to automate ComfyUI workflows to generate hundreds of high-quality images in a single batch empowering you to scale your creative pipeline. ]]></description>
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<pubDate>Mon, 22 Jun 2026 18:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Running, ComfyUI, workflows, Amazon, SageMaker, processing, jobs</media:keywords>
</item>

<item>
<title>At ISC, JUPITER Shows What Exascale Science Looks Like</title>
<link>https://news.jatlink.uk/14199</link>
<guid>https://news.jatlink.uk/14199</guid>
<description><![CDATA[ JUPITER, Europe’s first exascale supercomputer at Germany’s Forschungszentrum Jülich, runs on NVIDIA Grace Hopper Superchips and NVIDIA Quantum-X800 InfiniBand networking — and it’s had a busy year. As the international supercomputing community gathers at ISC in Hamburg this week, four projects running on JUPITER point to what exascale computing can actually do: map the human […] ]]></description>
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<pubDate>Mon, 22 Jun 2026 15:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>ISC, JUPITER, Shows, What, Exascale, Science, Looks, Like</media:keywords>
</item>

<item>
<title>NAIRR Science Program Reshapes Scientific Research, Powered by NVIDIA AI Infrastructure</title>
<link>https://news.jatlink.uk/14200</link>
<guid>https://news.jatlink.uk/14200</guid>
<description><![CDATA[ For the past two years, the U.S. National Science Foundation’s National Artificial Intelligence Research Resource (NAIRR) pilot program has driven innovative research across the U.S. for over 700 projects — spanning protein prediction and infectious disease outbreak management.  NVIDIA contributed to the NAIRR pilot through a cloud-based resource that gives researchers dedicated access to a […] ]]></description>
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<pubDate>Mon, 22 Jun 2026 15:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NAIRR, Science, Program, Reshapes, Scientific, Research, Powered, NVIDIA, Infrastructure</media:keywords>
</item>

<item>
<title>NVIDIA Vera CPU Opens the Way for Agentic Scientific AI at Los Alamos National Laboratory</title>
<link>https://news.jatlink.uk/14201</link>
<guid>https://news.jatlink.uk/14201</guid>
<description><![CDATA[ Mission, Vision and Veritas — new Los Alamos National Laboratory (LANL) supercomputers to be built with HPE and NVIDIA — are tapping NVIDIA Vera CPUs to accelerate scientific discovery, unlocking agentic AI for science. The supercomputers will use the HPE Cray Supercomputing GX5000 architecture with the NVIDIA Vera Rubin platform, combining NVIDIA Vera CPUs, NVIDIA […] ]]></description>
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<pubDate>Mon, 22 Jun 2026 15:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Vera, CPU, Opens, the, Way, for, Agentic, Scientific, Los, Alamos, National, Laboratory</media:keywords>
</item>

<item>
<title>From Materials Simulation to Experimental Astronomy, New NVIDIA AI Software Unlocks Scientific Discoveries</title>
<link>https://news.jatlink.uk/14202</link>
<guid>https://news.jatlink.uk/14202</guid>
<description><![CDATA[ At the ISC conference running in Hamburg this week, NVIDIA is introducing new software that speeds AI for science, from chemistry and materials discovery to the search for dark matter.  The NVIDIA DAQIRI library and new NVIDIA ALCHEMI NIM microservices — as well as the NVIDIA cuPhoton reference code, coming soon — turn work that […] ]]></description>
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<pubDate>Mon, 22 Jun 2026 15:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>From, Materials, Simulation, Experimental, Astronomy, New, NVIDIA, Software, Unlocks, Scientific, Discoveries</media:keywords>
</item>

<item>
<title>Eco Wave Power Turns Waves Into Watts With NVIDIA AI Infrastructure and Digital Twins</title>
<link>https://news.jatlink.uk/14203</link>
<guid>https://news.jatlink.uk/14203</guid>
<description><![CDATA[ The next era of AI will not be defined by compute alone. Its growth will be determined by energy.  As accelerated computing scales across AI factories, agentic AI, industrial AI, edge computing and physical AI — including robotics and autonomous systems — global electricity demand is rising at unprecedented speed.  In many regions, expanding grid […] ]]></description>
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<pubDate>Mon, 22 Jun 2026 15:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Eco, Wave, Power, Turns, Waves, Into, Watts, With, NVIDIA, Infrastructure, and, Digital, Twins</media:keywords>
</item>

<item>
<title>NVIDIA Announces Halos for Robotics, the Industry’s First Full&amp;Stack Safety System for Physical AI</title>
<link>https://news.jatlink.uk/14204</link>
<guid>https://news.jatlink.uk/14204</guid>
<description><![CDATA[ NVIDIA today announced NVIDIA Halos for Robotics, the industry’s first full-stack, comprehensive safety system for robotics and physical AI that unifies AI compute and safety. ]]></description>
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<pubDate>Mon, 22 Jun 2026 15:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Announces, Halos, for, Robotics, the, Industry’s, First, Full-Stack, Safety, System, for, Physical</media:keywords>
</item>

<item>
<title>Europe Unveils a Record 35 New NVIDIA AI Supercomputers</title>
<link>https://news.jatlink.uk/14205</link>
<guid>https://news.jatlink.uk/14205</guid>
<description><![CDATA[ ISC High Performance 2026 -- NVIDIA today announced that a record 35 NVIDIA AI HPC supercomputers are in development across Europe — equipping more than 3 million researchers with next-generation infrastructure for continental AI, accelerated science and industrial innovation. ]]></description>
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<pubDate>Mon, 22 Jun 2026 15:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Europe, Unveils, Record, New, NVIDIA, Supercomputers</media:keywords>
</item>

<item>
<title>NVIDIA Vera Rubin Delivers World&amp;Class Supercomputers for Science</title>
<link>https://news.jatlink.uk/14206</link>
<guid>https://news.jatlink.uk/14206</guid>
<description><![CDATA[ ISC High Performance 2026 -- NVIDIA today announced the NVIDIA Vera Rubin platform delivers world-class supercomputers for science, combining native double-precision (FP64) performance, NVIDIA CUDA-X™ libraries and the full-stack capabilities of the NVIDIA AI platform. ]]></description>
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<pubDate>Mon, 22 Jun 2026 15:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Vera, Rubin, Delivers, World-Class, Supercomputers, for, Science</media:keywords>
</item>

<item>
<title>Hotter Than a Hot Tub: The 45°C Breakthrough to Cool AI’s Biggest Machines</title>
<link>https://news.jatlink.uk/14172</link>
<guid>https://news.jatlink.uk/14172</guid>
<description><![CDATA[ Hot tubs sit at about 38 to 40 degrees Celsius, warm enough that most people can only soak for about 15 minutes. NVIDIA’s newest AI servers can run their cooling liquid even hotter — up to 45 degrees Celsius, or 113 degrees Fahrenheit. That higher temperature limit is precisely what makes them more energy efficient. […] ]]></description>
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<pubDate>Mon, 22 Jun 2026 07:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Hotter, Than, Hot, Tub:, The, 45°C, Breakthrough, Cool, AI’s, Biggest, Machines</media:keywords>
</item>

<item>
<title>Samsung Electronics brings ChatGPT and Codex to employees</title>
<link>https://news.jatlink.uk/14160</link>
<guid>https://news.jatlink.uk/14160</guid>
<description><![CDATA[ Samsung Electronics deploys ChatGPT Enterprise and Codex to employees worldwide, marking one of OpenAI’s largest enterprise AI rollouts. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Mon, 22 Jun 2026 02:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Samsung, Electronics, brings, ChatGPT, and, Codex, employees</media:keywords>
</item>

<item>
<title>Introducing Web Search on Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/14022</link>
<guid>https://news.jatlink.uk/14022</guid>
<description><![CDATA[ Web Search on Amazon Bedrock AgentCore is now generally available. In this post, we walk through what makes Web Search on Amazon Bedrock AgentCore different, why it matters, and how to wire it in with a few lines of code. ]]></description>
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<pubDate>Fri, 19 Jun 2026 17:00:18 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, Web, Search, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Accelerate campaign workflow with insights from Adobe Marketing Agent for Amazon Quick</title>
<link>https://news.jatlink.uk/14023</link>
<guid>https://news.jatlink.uk/14023</guid>
<description><![CDATA[ This post shows how to enable Adobe Marketing Agent for Amazon Quick using a Model Context Protocol (MCP). We walk you through how to configure the integration, authenticate using your Adobe credentials, and get the latest insights in Amazon Quick. The sample workflow returns audience rankings, loyalty segment summaries, journey usage, and conflict recommendations. ]]></description>
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<pubDate>Fri, 19 Jun 2026 17:00:18 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Accelerate, campaign, workflow, with, insights, from, Adobe, Marketing, Agent, for, Amazon, Quick</media:keywords>
</item>

<item>
<title>Monitor and debug generative AI inference with SageMaker detailed metrics and Insights dashboard on CloudWatch</title>
<link>https://news.jatlink.uk/13973</link>
<guid>https://news.jatlink.uk/13973</guid>
<description><![CDATA[ Amazon SageMaker AI provides fully managed real-time inference hosting for machine learning models. You deploy a model to a SageMaker endpoint backed by one or more compute instances, and SageMaker handles provisioning and scaling. SageMaker supports multiple endpoint architectures. This post focuses on the two most relevant to generative AI workloads with detailed observability: Single-model endpoints (SME) and Inference component (IC) endpoints. ]]></description>
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<pubDate>Fri, 19 Jun 2026 01:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Monitor, and, debug, generative, inference, with, SageMaker, detailed, metrics, and, Insights, dashboard, CloudWatch</media:keywords>
</item>

<item>
<title>How FERC’s Large&amp;Load Interconnection Actions Help Address Grid Stress, Improve Affordability</title>
<link>https://news.jatlink.uk/13956</link>
<guid>https://news.jatlink.uk/13956</guid>
<description><![CDATA[ In a consequential grid infrastructure decision, the Federal Energy Regulatory Commission (FERC) today issued a major milestone on large-load interconnection impacting how those building AI factories, semiconductor fabrication support systems and advanced manufacturing facilities can connect to the grid.  In the era of AI, which NVIDIA founder and CEO Jensen Huang has described as a […] ]]></description>
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<pubDate>Thu, 18 Jun 2026 22:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, FERC’s, Large-Load, Interconnection, Actions, Help, Address, Grid, Stress, Improve, Affordability</media:keywords>
</item>

<item>
<title>New usage analytics and updated spend controls for enterprises</title>
<link>https://news.jatlink.uk/13954</link>
<guid>https://news.jatlink.uk/13954</guid>
<description><![CDATA[ OpenAI introduces new spend controls and usage analytics for ChatGPT Enterprise, helping organizations manage costs and scale AI with confidence. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 18 Jun 2026 21:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>New, usage, analytics, and, updated, spend, controls, for, enterprises</media:keywords>
</item>

<item>
<title>Amazon Bedrock AgentCore harness is now generally available: Go from idea to production&amp;grade agent in minutes</title>
<link>https://news.jatlink.uk/13955</link>
<guid>https://news.jatlink.uk/13955</guid>
<description><![CDATA[ Today, Amazon Bedrock AgentCore harness is generally available. Two API calls (CreateHarness to define an agent, and InvokeHarness to run it), and you have an agent running in seconds. The agent runs in its own isolated environment with a filesystem and shell, so it can read files, run commands, and write code safely. It remembers users and conversations across sessions, picks up skills you point it at (including the AWS-curated catalog), browses the web, calls your tools through gateway or MCP, and switches model providers mid-session without losing context. Every step streams back to you in real time and is automatically traced to Amazon CloudWatch. You don’t need to write orchestration code or build a container, unless you want to. ]]></description>
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<pubDate>Thu, 18 Jun 2026 21:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Amazon, Bedrock, AgentCore, harness, now, generally, available:, from, idea, production-grade, agent, minutes</media:keywords>
</item>

<item>
<title>Improving health intelligence in ChatGPT</title>
<link>https://news.jatlink.uk/13953</link>
<guid>https://news.jatlink.uk/13953</guid>
<description><![CDATA[ Learn how GPT-5.5 Instant improves ChatGPT’s health and wellness responses with stronger reasoning, better context, clearer communication, and physician-informed evaluations. ]]></description>
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<pubDate>Thu, 18 Jun 2026 20:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Improving, health, intelligence, ChatGPT</media:keywords>
</item>

<item>
<title>At Cannes Lions, NVIDIA Partners Reshape Advertising and Marketing With AI</title>
<link>https://news.jatlink.uk/13940</link>
<guid>https://news.jatlink.uk/13940</guid>
<description><![CDATA[ The digital era gave the advertising and marketing industry speed; the AI era is giving it autonomous operations.  For companies building next-generation technologies for advertising and marketing, the question is no longer whether to adopt AI but whether their infrastructure can support it at the speed and scale the industry demands.  At Cannes Lions, running […] ]]></description>
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<pubDate>Thu, 18 Jun 2026 18:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Cannes, Lions, NVIDIA, Partners, Reshape, Advertising, and, Marketing, With</media:keywords>
</item>

<item>
<title>Sync and Stream: GeForce NOW Connects to Members’ Game Libraries Across Devices</title>
<link>https://news.jatlink.uk/13941</link>
<guid>https://news.jatlink.uk/13941</guid>
<description><![CDATA[ Play favorite titles from popular game libraries, keep progress synced and jump back into gaming sessions on virtually any device. That’s the power of GeForce NOW cloud gaming. From providing access to members’ favorite game libraries to offering some of the season’s best membership pricing, GeForce NOW is making it easier than ever to get […] ]]></description>
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<pubDate>Thu, 18 Jun 2026 18:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Sync, and, Stream:, GeForce, NOW, Connects, Members’, Game, Libraries, Across, Devices</media:keywords>
</item>

<item>
<title>Using AI to help physicians diagnose rare genetic diseases affecting children</title>
<link>https://news.jatlink.uk/13939</link>
<guid>https://news.jatlink.uk/13939</guid>
<description><![CDATA[ Researchers used an OpenAI reasoning model to help diagnose rare diseases, identifying 18 new diagnoses in previously unsolved cases. ]]></description>
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<pubDate>Thu, 18 Jun 2026 17:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Using, help, physicians, diagnose, rare, genetic, diseases, affecting, children</media:keywords>
</item>

<item>
<title>France Advances Europe’s AI Future With NVIDIA Technologies</title>
<link>https://news.jatlink.uk/13907</link>
<guid>https://news.jatlink.uk/13907</guid>
<description><![CDATA[ A year ago at NVIDIA GTC Paris at VivaTech, France laid out plans to advance local AI — from new AI factories and national compute capacity to open frontier models and industrial platforms. Now, that AI infrastructure is coming online. AI agents are running in production, startups are deploying applications and the French AI ecosystem […] ]]></description>
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<pubDate>Thu, 18 Jun 2026 10:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>France, Advances, Europe’s, Future, With, NVIDIA, Technologies</media:keywords>
</item>

<item>
<title>Amazon SageMaker AI Async Inference now supports inline request payloads</title>
<link>https://news.jatlink.uk/13885</link>
<guid>https://news.jatlink.uk/13885</guid>
<description><![CDATA[ Today, we’re announcing inline payload support for Amazon SageMaker AI Async Inference. Customers can now send inference payloads directly in the request body of the InvokeEndpointAsync API, removing the need to upload input data to Amazon Simple Storage Service (Amazon S3) before each invocation. ]]></description>
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<pubDate>Thu, 18 Jun 2026 01:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Amazon, SageMaker, Async, Inference, now, supports, inline, request, payloads</media:keywords>
</item>

<item>
<title>Get back hours every day with autonomous agents in Amazon Quick</title>
<link>https://news.jatlink.uk/13886</link>
<guid>https://news.jatlink.uk/13886</guid>
<description><![CDATA[ Today, Quick gets even more powerful: new autonomous agents that work continuously on your behalf, an activity feed that helps you prioritize your most important work, and the ability to find insights across every data source your business runs on from a single question. ]]></description>
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<pubDate>Thu, 18 Jun 2026 01:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Get, back, hours, every, day, with, autonomous, agents, Amazon, Quick</media:keywords>
</item>

<item>
<title>Introducing LifeSciBench</title>
<link>https://news.jatlink.uk/13884</link>
<guid>https://news.jatlink.uk/13884</guid>
<description><![CDATA[ Introducing LifeSciBench, an expert-authored, expert-reviewed benchmark for evaluating how AI systems handle real-world life science research tasks and decisions. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 18 Jun 2026 00:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, LifeSciBench</media:keywords>
</item>

<item>
<title>Context intelligence for your data and AI agents at scale</title>
<link>https://news.jatlink.uk/13871</link>
<guid>https://news.jatlink.uk/13871</guid>
<description><![CDATA[ Agents are only as intelligent as the context they can reason over. Today, that context is scattered across data lakes, data warehouses, lakehouses, databases, and streams, and in institutional knowledge that has never been written down. You want to trust the decisions made by your AI agents, but that can&#039;t happen until agents have context. Imagine what becomes possible when we give agents a safe way to access the context they need to deliver trusted decisions. This is why at the AWS Summit New York City, we’re announcing a series of innovations that deliver intelligence for your data and AI agents at scale. ]]></description>
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<pubDate>Wed, 17 Jun 2026 21:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Context, intelligence, for, your, data, and, agents, scale</media:keywords>
</item>

<item>
<title>A near&amp;autonomous AI chemist improves a challenging reaction in medicinal chemistry</title>
<link>https://news.jatlink.uk/13870</link>
<guid>https://news.jatlink.uk/13870</guid>
<description><![CDATA[ OpenAI and Molecule.one show how a near-autonomous AI chemist using GPT-5.4 improved a key drug-making reaction, advancing medicinal chemistry research. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 17 Jun 2026 20:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>near-autonomous, chemist, improves, challenging, reaction, medicinal, chemistry</media:keywords>
</item>

<item>
<title>New in Amazon Bedrock AgentCore: Build agents with broader knowledge and continuous learning</title>
<link>https://news.jatlink.uk/13858</link>
<guid>https://news.jatlink.uk/13858</guid>
<description><![CDATA[ Today we&#039;re introducing new capabilities on Amazon Bedrock AgentCore, the platform to build, connect, and optimize agents. In this post, we cover how these capabilities close each gap: connecting agents to organizational, web, and paid knowledge; helping teams find and fix what&#039;s going wrong in production; and enforcing controls that scale as agents grow more capable. Together, they help you build more capable agents faster, govern them with controls that scale, and improve them continuously. ]]></description>
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<pubDate>Wed, 17 Jun 2026 17:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>New, Amazon, Bedrock, AgentCore:, Build, agents, with, broader, knowledge, and, continuous, learning</media:keywords>
</item>

<item>
<title>Hands Free, AIs Forward: NVIDIA XR AI Brings Agents to AR Glasses</title>
<link>https://news.jatlink.uk/13813</link>
<guid>https://news.jatlink.uk/13813</guid>
<description><![CDATA[ NVIDIA XR AI is now available in public beta, giving developers a framework for building multimodal AI agents for AR glasses and XR devices.   ]]></description>
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<pubDate>Wed, 17 Jun 2026 02:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Hands, Free, AIs, Forward:, NVIDIA, Brings, Agents, Glasses</media:keywords>
</item>

<item>
<title>Coherent Breaks Ground on Expanded Texas Facility, Scaling AI’s Optical Backbone</title>
<link>https://news.jatlink.uk/13814</link>
<guid>https://news.jatlink.uk/13814</guid>
<description><![CDATA[ AI runs at the speed of light. More and more, that light is made in Texas. Coherent broke ground today on an expanded manufacturing building in Sherman, Texas.  The company makes the lasers, optical components and compound semiconductors that wire AI systems together — and runs what it calls the world’s first 6-inch indium phosphide […] ]]></description>
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<pubDate>Wed, 17 Jun 2026 02:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Coherent, Breaks, Ground, Expanded, Texas, Facility, Scaling, AI’s, Optical, Backbone</media:keywords>
</item>

<item>
<title>Introducing container caching in Amazon SageMaker AI for faster model scaling</title>
<link>https://news.jatlink.uk/13812</link>
<guid>https://news.jatlink.uk/13812</guid>
<description><![CDATA[ Today, we’re excited to announce container image caching for Amazon SageMaker AI inference, the next major advancement in our faster scaling optimization journey. This speeds up end-to-end latency by up to 2x for generative AI models during scale-out events. ]]></description>
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<pubDate>Wed, 17 Jun 2026 01:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, container, caching, Amazon, SageMaker, for, faster, model, scaling</media:keywords>
</item>

<item>
<title>Safeguard your agentic AI applications with the Amazon Bedrock Guardrails InvokeGuardrailChecks API</title>
<link>https://news.jatlink.uk/13811</link>
<guid>https://news.jatlink.uk/13811</guid>
<description><![CDATA[ Today, we’re announcing a new API with Amazon Bedrock Guardrails. With this API, you can apply individual safeguards, also referred to as safety checks, at any point in your agentic AI applications without creating guardrail resources. In this post, we walk through how the InvokeGuardrailChecks API works and how to use it to build safe, multi-turn agentic AI applications. ]]></description>
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<pubDate>Wed, 17 Jun 2026 01:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Safeguard, your, agentic, applications, with, the, Amazon, Bedrock, Guardrails, InvokeGuardrailChecks, API</media:keywords>
</item>

<item>
<title>Predicting model behavior before release by simulating deployment</title>
<link>https://news.jatlink.uk/13797</link>
<guid>https://news.jatlink.uk/13797</guid>
<description><![CDATA[ OpenAI introduces Deployment Simulation, a method to predict AI model behavior before deployment using real conversation data to improve safety and evaluation accuracy. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 16 Jun 2026 21:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Predicting, model, behavior, before, release, simulating, deployment</media:keywords>
</item>

<item>
<title>Parallelize speculative decoding with P&amp;EAGLE on Amazon SageMaker AI</title>
<link>https://news.jatlink.uk/13798</link>
<guid>https://news.jatlink.uk/13798</guid>
<description><![CDATA[ This post walks you through how to use P-EAGLE directly within Amazon SageMaker AI. It will demonstrate how to select a compatible model from the SageMaker JumpStart catalog, configure the parallel drafting specifications, and deploy a highly optimized real-time SageMaker AI endpoint to accelerate your generative AI applications. ]]></description>
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<pubDate>Tue, 16 Jun 2026 21:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Parallelize, speculative, decoding, with, P-EAGLE, Amazon, SageMaker</media:keywords>
</item>

<item>
<title>HPE AI Factory With NVIDIA Expands for the Era of Agents</title>
<link>https://news.jatlink.uk/13782</link>
<guid>https://news.jatlink.uk/13782</guid>
<description><![CDATA[ Enterprises are moving agentic AI from proof of concept to production — and the next generation of AI factories are built for the era of agents. At HPE Discover Las Vegas, running through Thursday, June 18, NVIDIA and HPE are expanding the HPE AI Factory with NVIDIA, including NVIDIA Vera CPU and NVIDIA Agent Toolkit […] ]]></description>
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<pubDate>Tue, 16 Jun 2026 18:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>HPE, Factory, With, NVIDIA, Expands, for, the, Era, Agents</media:keywords>
</item>

<item>
<title>Fastest, Largest, Strongest: NVIDIA Blackwell Sweeps MLPerf Training 6.0</title>
<link>https://news.jatlink.uk/13783</link>
<guid>https://news.jatlink.uk/13783</guid>
<description><![CDATA[ Every breakthrough AI model starts the same way: with a training run. The infrastructure running those training jobs shapes everything: how fast teams can iterate, what scale of model they can build and whether those jobs complete reliably.  As models grow in size, complexity and intelligence, the demands on training infrastructure are also rising.  In […] ]]></description>
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<pubDate>Tue, 16 Jun 2026 18:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Fastest, Largest, Strongest:, NVIDIA, Blackwell, Sweeps, MLPerf, Training, 6.0</media:keywords>
</item>

<item>
<title>Introducing Gemma 4 models on Amazon Bedrock</title>
<link>https://news.jatlink.uk/13729</link>
<guid>https://news.jatlink.uk/13729</guid>
<description><![CDATA[ Today, we are announcing the availability of the Gemma 4 family on Amazon Bedrock. Built by Google DeepMind and released under the Apache 2.0 license, Gemma 4 is a family of open-weight models designed with a focus on intelligence-per-parameter across a broad range of deployment scenarios. The family includes three instruction-tuned variants: Gemma 4 31B, Gemma 4 26B-A4B, and Gemma 4 E2B. These cover dense and mixture-of-experts (MoE) architectures, where only a fraction of the model’s parameters activate per request. The variants offer built-in reasoning, native function calling, and multimodal input across text and image. ]]></description>
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<pubDate>Tue, 16 Jun 2026 01:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, Gemma, models, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>AI Agent Failure Detection and Root Cause Analysis with Strands Evals</title>
<link>https://news.jatlink.uk/13717</link>
<guid>https://news.jatlink.uk/13717</guid>
<description><![CDATA[ In this post, we walk you through calling the detector functions to diagnose real agent failures. You learn how to interpret their structured output: categorized failures with confidence scores, causal chains linking root causes to downstream symptoms, and fix recommendations specifying whether a change belongs in your system prompt or tool definitions. You also learn how to integrate detection into your evaluation pipeline for automated diagnosis on every test run. ]]></description>
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<pubDate>Mon, 15 Jun 2026 21:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Agent, Failure, Detection, and, Root, Cause, Analysis, with, Strands, Evals</media:keywords>
</item>

<item>
<title>Build context&amp;rich research agents with Deep Agents and Bedrock AgentCore</title>
<link>https://news.jatlink.uk/13701</link>
<guid>https://news.jatlink.uk/13701</guid>
<description><![CDATA[ In this post, you&#039;ll build a competitive research agent that demonstrates this pattern end to end. This walkthrough targets developers building multi-step AI workflows who need isolated execution environments for their agents. In Part 2 of the notebook, you can deploy this same agent to Bedrock AgentCore Runtime using the AgentCore CLI, so it runs as a managed, session-isolated service. ]]></description>
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<pubDate>Mon, 15 Jun 2026 17:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, context-rich, research, agents, with, Deep, Agents, and, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Introducing the OpenAI Partner Network</title>
<link>https://news.jatlink.uk/13666</link>
<guid>https://news.jatlink.uk/13666</guid>
<description><![CDATA[ OpenAI launches the Partner Network, investing $150M to help global partners accelerate enterprise AI adoption, deployment, and transformation. ]]></description>
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<pubDate>Mon, 15 Jun 2026 04:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, the, OpenAI, Partner, Network</media:keywords>
</item>

<item>
<title>NVIDIA Blackwell Leads on First Agentic AI Infrastructure Benchmark</title>
<link>https://news.jatlink.uk/13536</link>
<guid>https://news.jatlink.uk/13536</guid>
<description><![CDATA[ AgentPerf from Artificial Analysis, the industry’s first agentic AI benchmark, gives developers, enterprises and infrastructure providers a clear way to compare systems for agentic AI. In the first round of published results, the NVIDIA Blackwell Ultra NVL72 platform delivers leading performance across the agentic AI workloads tested, running 20x more agents per megawatt than NVIDIA […] ]]></description>
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<pubDate>Sat, 13 Jun 2026 02:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Blackwell, Leads, First, Agentic, Infrastructure, Benchmark</media:keywords>
</item>

<item>
<title>Building Supercharger: How Rocket Close optimized title operations with agentic AI</title>
<link>https://news.jatlink.uk/13535</link>
<guid>https://news.jatlink.uk/13535</guid>
<description><![CDATA[ In this post, we explore how Rocket Close built a solution using Strands Agents, large language models (LLMs), Amazon Bedrock, Amazon Bedrock Knowledge Bases, and Model Context Protocol (MCP) tools. We cover solution features, the rationale for the technology stack, lessons learned, and the business impact at Rocket Close. ]]></description>
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<pubDate>Sat, 13 Jun 2026 01:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, Supercharger:, How, Rocket, Close, optimized, title, operations, with, agentic</media:keywords>
</item>

<item>
<title>New OpenAI Academy courses for the next era of work</title>
<link>https://news.jatlink.uk/13523</link>
<guid>https://news.jatlink.uk/13523</guid>
<description><![CDATA[ OpenAI introduces three Academy courses that help people build practical AI skills, create repeatable workflows, and apply agents in everyday work. ]]></description>
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<pubDate>Fri, 12 Jun 2026 20:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>New, OpenAI, Academy, courses, for, the, next, era, work</media:keywords>
</item>

<item>
<title>From PDFs to insights: Architecting an intelligent document processing pipeline with AWS generative AI services</title>
<link>https://news.jatlink.uk/13507</link>
<guid>https://news.jatlink.uk/13507</guid>
<description><![CDATA[ This post outlines the development of a cost-effective and scalable intelligent document processing pipeline on AWS, powered by Amazon Bedrock and its features. BDA is a managed service within Amazon Bedrock that automates the extraction of insights from documents. We demonstrate how BDA extracts and analyzes document content, while Strands Agent hosted on Amazon Bedrock AgentCore Runtime coordinate specialized processing tasks, and Amazon Bedrock Knowledge Base enable contextual understanding across multiple documents. By combining these capabilities within a unified architecture, organizations can transform their document processing workflows with minimal development effort. ]]></description>
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<pubDate>Fri, 12 Jun 2026 17:00:16 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>From, PDFs, insights:, Architecting, intelligent, document, processing, pipeline, with, AWS, generative, services</media:keywords>
</item>

<item>
<title>Built from the inside out: How AWS Professional Services became a frontier team first</title>
<link>https://news.jatlink.uk/13508</link>
<guid>https://news.jatlink.uk/13508</guid>
<description><![CDATA[ AWS Professional Services (AWS ProServe) compressed engagement timelines from months to days, not by adding artificial intelligence (AI) tools to an existing process, but by fundamentally rebuilding how we deliver from the inside out. In this post, we share how AWS ProServe became a frontier team, the practices that enabled it, and what your engineering organization can take from our experience. ]]></description>
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<pubDate>Fri, 12 Jun 2026 17:00:16 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Built, from, the, inside, out:, How, AWS, Professional, Services, became, frontier, team, first</media:keywords>
</item>

<item>
<title>Build a meeting prep and follow&amp;up assistant with Amazon Quick and Cisco Webex MCP servers</title>
<link>https://news.jatlink.uk/13506</link>
<guid>https://news.jatlink.uk/13506</guid>
<description><![CDATA[ This post shows how to build a custom meeting prep and follow-up assistant using Amazon Quick and Cisco Webex MCP servers. From a single prompt, the agent finds an upcoming Webex meeting, reviews prior meeting summaries and transcripts, and pulls related Vidcast highlights and transcript context. It then searches Webex message threads for unresolved follow-ups and creates a concise prep brief. After the meeting, the same assistant can summarize the discussion and identify action items. It can also find related Vidcast updates and draft a follow-up message for the right Webex space. ]]></description>
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<pubDate>Fri, 12 Jun 2026 17:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, meeting, prep, and, follow-up, assistant, with, Amazon, Quick, and, Cisco, Webex, MCP, servers</media:keywords>
</item>

<item>
<title>How Preply combines AI and human tutors to personalize learning</title>
<link>https://news.jatlink.uk/13491</link>
<guid>https://news.jatlink.uk/13491</guid>
<description><![CDATA[ Preply uses OpenAI to launch AI-generated lesson summaries, providing personalised feedback and language learning exercises. ]]></description>
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<pubDate>Fri, 12 Jun 2026 12:00:18 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Preply, combines, and, human, tutors, personalize, learning</media:keywords>
</item>

<item>
<title>NVIDIA Stockholder Meeting Set for June 24; Individuals Can Participate Online</title>
<link>https://news.jatlink.uk/13449</link>
<guid>https://news.jatlink.uk/13449</guid>
<description><![CDATA[ NVIDIA today announced it will hold its 2026 Annual Meeting of Stockholders online on Wednesday, June 24, at 9 a.m. PT. The meeting will take place virtually at https://www.virtualshareholdermeeting.com/NVDA2026. ]]></description>
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<pubDate>Fri, 12 Jun 2026 02:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Stockholder, Meeting, Set, for, June, 24, Individuals, Can, Participate, Online</media:keywords>
</item>

<item>
<title>Extract Data with On&amp;demand and Batch Pipelines Dynamically</title>
<link>https://news.jatlink.uk/13434</link>
<guid>https://news.jatlink.uk/13434</guid>
<description><![CDATA[ This post demonstrates an intelligent document processing pipeline that consists of both on-demand inference and batch inference options on Amazon Bedrock to enable the flexibility on the document processing time and cost. ]]></description>
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<pubDate>Thu, 11 Jun 2026 21:00:19 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Extract, Data, with, On-demand, and, Batch, Pipelines, Dynamically</media:keywords>
</item>

<item>
<title>BBVA puts AI at the core of banking with OpenAI</title>
<link>https://news.jatlink.uk/13432</link>
<guid>https://news.jatlink.uk/13432</guid>
<description><![CDATA[ Learn how BBVA scaled ChatGPT Enterprise to 100,000 employees and partnered with OpenAI to accelerate AI-powered banking transformation worldwide. ]]></description>
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<pubDate>Thu, 11 Jun 2026 20:00:18 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>BBVA, puts, the, core, banking, with, OpenAI</media:keywords>
</item>

<item>
<title>OpenAI to acquire Ona</title>
<link>https://news.jatlink.uk/13433</link>
<guid>https://news.jatlink.uk/13433</guid>
<description><![CDATA[ OpenAI plans to acquire Ona to expand Codex with secure, persistent cloud environments, enabling long-running AI agents across enterprise workflows. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 11 Jun 2026 20:00:18 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, acquire, Ona</media:keywords>
</item>

<item>
<title>Save Big and Play Bigger: GeForce NOW Summer Sale Brings Major Membership Savings</title>
<link>https://news.jatlink.uk/13420</link>
<guid>https://news.jatlink.uk/13420</guid>
<description><![CDATA[ The GeForce NOW summer sale kicked off today with limited-time savings of up to $70 off a 12-month membership, making now the perfect time to upgrade to get the best of the cloud and see just how far Ultimate gaming can go. PC gamers are driven by one thing: the love of the game. But […] ]]></description>
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<pubDate>Thu, 11 Jun 2026 18:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Save, Big, and, Play, Bigger:, GeForce, NOW, Summer, Sale, Brings, Major, Membership, Savings</media:keywords>
</item>

<item>
<title>Evaluate AI agents systematically with Agent&amp;EvalKit</title>
<link>https://news.jatlink.uk/13417</link>
<guid>https://news.jatlink.uk/13417</guid>
<description><![CDATA[ Agent-EvalKit is an open-source toolkit (Apache 2.0) that makes this evaluation infrastructure available by integrating with AI coding assistants, including Claude Code, Kiro CLI, and Kilo Code. This post walks through how Agent-EvalKit works across its six evaluation phases, using a travel research agent built with the Strands Agents SDK and Amazon Bedrock as a running example. ]]></description>
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<pubDate>Thu, 11 Jun 2026 17:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Evaluate, agents, systematically, with, Agent-EvalKit</media:keywords>
</item>

<item>
<title>Spot trends faster, sort smarter: Unlocking Sparklines and Custom Sort in Amazon Quick</title>
<link>https://news.jatlink.uk/13418</link>
<guid>https://news.jatlink.uk/13418</guid>
<description><![CDATA[ Today, we’re excited to announce two new capabilities that make Quick Sight dashboards even more expressive and business-aligned: sparklines and custom sort for controls. In this post, we walk through both features, what they are, when to use them, and how to configure them, with real-world scenarios that bring them together in a practical, decision-ready dashboard. ]]></description>
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<pubDate>Thu, 11 Jun 2026 17:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Spot, trends, faster, sort, smarter:, Unlocking, Sparklines, and, Custom, Sort, Amazon, Quick</media:keywords>
</item>

<item>
<title>Optimize blueprint extraction accuracy in Amazon Bedrock Data Automation</title>
<link>https://news.jatlink.uk/13419</link>
<guid>https://news.jatlink.uk/13419</guid>
<description><![CDATA[ Blueprint instruction optimization is a BDA feature that automatically refines your extraction instructions to address this challenge directly. You provide three to ten example documents with expected values, and BDA refines your blueprint instructions to improve accuracy in minutes, not weeks. No separate model fine-tuning is required. By the end of this post, you can optimize your blueprints to improve accuracy, run the optimization workflow through the Amazon Bedrock console or the API, and apply best practices for selecting examples and ground truth. ]]></description>
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<pubDate>Thu, 11 Jun 2026 17:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Optimize, blueprint, extraction, accuracy, Amazon, Bedrock, Data, Automation</media:keywords>
</item>

<item>
<title>Supporting Europe’s work in ensuring a trustworthy AI ecosystem</title>
<link>https://news.jatlink.uk/13389</link>
<guid>https://news.jatlink.uk/13389</guid>
<description><![CDATA[ OpenAI supports the EU Code of Practice on AI content transparency, advancing provenance standards and tools to help people understand AI-generated content. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 11 Jun 2026 09:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Supporting, Europe’s, work, ensuring, trustworthy, ecosystem</media:keywords>
</item>

<item>
<title>How frontier teams are reinventing AI&amp;native development</title>
<link>https://news.jatlink.uk/13373</link>
<guid>https://news.jatlink.uk/13373</guid>
<description><![CDATA[ Frontier teams are not just using AI to code faster. They’re redesigning how software gets built. The result is 4.5x productivity gains, in some cases more than 10x. ]]></description>
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<pubDate>Thu, 11 Jun 2026 05:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, frontier, teams, are, reinventing, AI-native, development</media:keywords>
</item>

<item>
<title>How an astrophysicist uses Codex to help simulate black holes</title>
<link>https://news.jatlink.uk/13357</link>
<guid>https://news.jatlink.uk/13357</guid>
<description><![CDATA[ Discover how astrophysicist Chi-kwan Chan uses Codex to build black hole simulations, helping scientists study extreme physics and test Einstein’s theory of general relativity. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 11 Jun 2026 00:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, astrophysicist, uses, Codex, help, simulate, black, holes</media:keywords>
</item>

<item>
<title>Access OpenAI models and Codex through your Oracle cloud commitment</title>
<link>https://news.jatlink.uk/13358</link>
<guid>https://news.jatlink.uk/13358</guid>
<description><![CDATA[ Access OpenAI models and Codex through Oracle Cloud, using existing commitments to build and deploy AI with enterprise security and governance. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 11 Jun 2026 00:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Access, OpenAI, models, and, Codex, through, your, Oracle, cloud, commitment</media:keywords>
</item>

<item>
<title>PRC&amp;linked influence operations are targeting AI debates in the US</title>
<link>https://news.jatlink.uk/13359</link>
<guid>https://news.jatlink.uk/13359</guid>
<description><![CDATA[ A new report from OpenAI details PRC-linked influence operations using AI to target U.S. tech debates, data center narratives, tariffs, and false claims  about ChatGPT. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 11 Jun 2026 00:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>PRC-linked, influence, operations, are, targeting, debates, the</media:keywords>
</item>

<item>
<title>For Robotaxis, Safety Must Be Built In, Not Bolted On</title>
<link>https://news.jatlink.uk/13345</link>
<guid>https://news.jatlink.uk/13345</guid>
<description><![CDATA[ A car pulls up to the curb. The app says, “Your ride is here.” No one’s in the driver’s seat. For people who live in one of the dozens of cities now hosting robotaxi services, this is already a reality. The robotaxi industry has moved from prototype milestones to commercial operations, with an expanding ecosystem […] ]]></description>
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<pubDate>Wed, 10 Jun 2026 22:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>For, Robotaxis, Safety, Must, Built, In, Not, Bolted</media:keywords>
</item>

<item>
<title>NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI</title>
<link>https://news.jatlink.uk/13330</link>
<guid>https://news.jatlink.uk/13330</guid>
<description><![CDATA[ Today, Google DeepMind released DiffusionGemma — an experimental open model built for exceptionally fast text generation. NVIDIA has optimized DiffusionGemma to run even faster across NVIDIA GeForce RTX GPUs, the NVIDIA RTX PRO platform and NVIDIA DGX Spark systems, from local PCs to the cloud.  Rather than generating text one word at a time, DiffusionGemma generates multiple words in parallel to output whole blocks of text, opening a new, low-latency frontier for the kind of single-user workloads that developers, […] ]]></description>
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<pubDate>Wed, 10 Jun 2026 18:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Accelerates, Google, DeepMind’s, DiffusionGemma, for, Local</media:keywords>
</item>

<item>
<title>Stop hand&amp;tuning kernels: How Neuron Agentic Development accelerates AWS Trainium optimizations</title>
<link>https://news.jatlink.uk/13328</link>
<guid>https://news.jatlink.uk/13328</guid>
<description><![CDATA[ Today, we’re announcing the Neuron Agentic Development capabilities: a collection of AI agents and skills that make this possible for developers building on AWS Trainium and AWS Inferentia. In this post, we explain how the Neuron Agentic Development capabilities accelerate the kernel development workflow. ]]></description>
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<pubDate>Wed, 10 Jun 2026 17:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Stop, hand-tuning, kernels:, How, Neuron, Agentic, Development, accelerates, AWS, Trainium, optimizations</media:keywords>
</item>

<item>
<title>Build an AI&amp;Powered Equipment Repair Assistant Using Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/13329</link>
<guid>https://news.jatlink.uk/13329</guid>
<description><![CDATA[ In this post, you build an AI-powered equipment repair assistant using Amazon Bedrock AgentCore that helps farmers and field technicians diagnose equipment problems, identify required parts, and access manufacturer-approved repair procedures through natural language. The solution uses AgentCore Runtime with the Strands Agents SDK, Amazon Nova 2 Lite as the foundation model, Amazon Bedrock Knowledge Base for retrieval-augmented generation (RAG), and AgentCore Memory for conversation persistence. ]]></description>
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<pubDate>Wed, 10 Jun 2026 17:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, AI-Powered, Equipment, Repair, Assistant, Using, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>From data to decisions: how LSEG is scaling trusted AI</title>
<link>https://news.jatlink.uk/13315</link>
<guid>https://news.jatlink.uk/13315</guid>
<description><![CDATA[ See how LSEG uses OpenAI to scale trusted AI across its global business, accelerating insights, shrinking release cycles, and empowering 4,000 employees. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 10 Jun 2026 12:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>From, data, decisions:, how, LSEG, scaling, trusted</media:keywords>
</item>

<item>
<title>NVIDIA Confidential Computing to Help Expand Apple’s Private Cloud Compute</title>
<link>https://news.jatlink.uk/13274</link>
<guid>https://news.jatlink.uk/13274</guid>
<description><![CDATA[ NVIDIA GPUs with Confidential Computing are now used for confidential inference in Apple’s Private Cloud Compute (PCC), as it expands beyond Apple’s data centers to Google Cloud.  Unveiled during Apple’s annual WWDC gathering for developers from around the globe, NVIDIA GPUs will support server-side inference for Apple Foundation Models, custom-built by Apple and Google, leveraging […] ]]></description>
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<pubDate>Wed, 10 Jun 2026 02:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Confidential, Computing, Help, Expand, Apple’s, Private, Cloud, Compute</media:keywords>
</item>

<item>
<title>Scale Robot Reinforcement Learning with NVIDIA Isaac Lab on Amazon SageMaker AI</title>
<link>https://news.jatlink.uk/13273</link>
<guid>https://news.jatlink.uk/13273</guid>
<description><![CDATA[ In this post, we show how to train robot policies for the Unitree H1 humanoid with NVIDIA Isaac Lab on Amazon SageMaker AI across two compute options: Amazon SageMaker HyperPod and Amazon SageMaker Training Jobs. ]]></description>
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<pubDate>Wed, 10 Jun 2026 01:00:16 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Scale, Robot, Reinforcement, Learning, with, NVIDIA, Isaac, Lab, Amazon, SageMaker</media:keywords>
</item>

<item>
<title>What Codex unlocks for Notion</title>
<link>https://news.jatlink.uk/13272</link>
<guid>https://news.jatlink.uk/13272</guid>
<description><![CDATA[ How Notion uses Codex to one-shot specs, build AI Voice Input for the web, and multiply engineering power across small teams. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 10 Jun 2026 00:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>What, Codex, unlocks, for, Notion</media:keywords>
</item>

<item>
<title>How engineers at Nextdoor use Codex to build without limits</title>
<link>https://news.jatlink.uk/13271</link>
<guid>https://news.jatlink.uk/13271</guid>
<description><![CDATA[ How engineers at Nextdoor use Codex with GPT-5.5 to investigate hard-to-reproduce issues, build across platforms, and focus on product outcomes. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 10 Jun 2026 00:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, engineers, Nextdoor, use, Codex, build, without, limits</media:keywords>
</item>

<item>
<title>Hands&amp;free first notice of loss: Using Strands Agents and Amazon Bedrock AgentCore Browser Tool for intelligent claims intake</title>
<link>https://news.jatlink.uk/13258</link>
<guid>https://news.jatlink.uk/13258</guid>
<description><![CDATA[ In this post, we demonstrate how a hands-free FNOL intake system combines agents built with the Strands Agents SDK for domain reasoning with Amazon Bedrock AgentCore Browser Tool for live portal interaction. This approach preserves human expertise while removing repetitive screen work. ]]></description>
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<pubDate>Tue, 09 Jun 2026 21:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Hands-free, first, notice, loss:, Using, Strands, Agents, and, Amazon, Bedrock, AgentCore, Browser, Tool, for, intelligent, claims, intake</media:keywords>
</item>

<item>
<title>Build an agentic incident triage assistant with Amazon Quick and New Relic</title>
<link>https://news.jatlink.uk/13259</link>
<guid>https://news.jatlink.uk/13259</guid>
<description><![CDATA[ This post shows engineering teams how to apply that principle to one of the most time-sensitive workflows in engineering: incident triage. You will build a custom incident triage assistant agent using Amazon Quick that orchestrates a response with the New Relic Model Context Protocol (MCP) Server and Asana through native integrations. From a single prompt, the Amazon Quick agent investigates the incident, assembles a root cause analysis (RCA) brief with evidence links, and creates a tracked Asana task ready for handoff. ]]></description>
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<pubDate>Tue, 09 Jun 2026 21:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, agentic, incident, triage, assistant, with, Amazon, Quick, and, New, Relic</media:keywords>
</item>

<item>
<title>Confidential submission of draft S&amp;1 to the SEC</title>
<link>https://news.jatlink.uk/13198</link>
<guid>https://news.jatlink.uk/13198</guid>
<description><![CDATA[ OpenAI confirms a confidential S-1 submission to the SEC and has not yet determined timing for further action. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 09 Jun 2026 00:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Confidential, submission, draft, S-1, the, SEC</media:keywords>
</item>

<item>
<title>Built to benefit everyone: our plan</title>
<link>https://news.jatlink.uk/13199</link>
<guid>https://news.jatlink.uk/13199</guid>
<description><![CDATA[ A vision for the future of AI, focusing on access, safety, and shared prosperity as OpenAI works to ensure AGI benefits everyone. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 09 Jun 2026 00:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Built, benefit, everyone:, our, plan</media:keywords>
</item>

<item>
<title>End&amp;to&amp;end encrypted ML inference with Amazon SageMaker AI and FHE</title>
<link>https://news.jatlink.uk/13184</link>
<guid>https://news.jatlink.uk/13184</guid>
<description><![CDATA[ This blog has previously discussed FHE for ML inference in the post Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing, but this post goes a little further. That previous post showed how to implement FHE-based inference &#039;from scratch&#039; by hand-crafting a linear-regression algorithm using a low-level library called SEAL. Instead, this post shows a much more flexible and higher-level approach based on concrete-ml, a high-level library built specifically for FHE-based inference. It supports several common types of models &#039;out of the box&#039; and is even API compatible with the well-known ML library scikit-learn. ]]></description>
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<pubDate>Mon, 08 Jun 2026 21:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>End-to-end, encrypted, inference, with, Amazon, SageMaker, and, FHE</media:keywords>
</item>

<item>
<title>Amazon Quick ARNs: Cross&amp;account migration and namespace permissions</title>
<link>https://news.jatlink.uk/13185</link>
<guid>https://news.jatlink.uk/13185</guid>
<description><![CDATA[ In this post, we cover the structure of Amazon Quick ARNs and provide a practical mental model for working with them. By the end, you can look at an ARN and immediately understand what it means for your migration strategy, diagnose permission issues faster, and design multi-tenant architectures with confidence. ]]></description>
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<pubDate>Mon, 08 Jun 2026 21:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Amazon, Quick, ARNs:, Cross-account, migration, and, namespace, permissions</media:keywords>
</item>

<item>
<title>Unlocking AI flexibility in Europe: A guide to cross&amp;region inference for EU data processing and model access</title>
<link>https://news.jatlink.uk/13181</link>
<guid>https://news.jatlink.uk/13181</guid>
<description><![CDATA[ With access to the latest generative AI models and high-performance accelerated compute in high global demand, AWS customers need tools to take advantage of model availability and capacity across multiple AWS Regions, while still meeting their security and privacy requirements. cross-Region Inference (CRIS) on Amazon Bedrock meets these needs by automatically routing requests across multiple […] ]]></description>
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<pubDate>Mon, 08 Jun 2026 21:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Unlocking, flexibility, Europe:, guide, cross-region, inference, for, data, processing, and, model, access</media:keywords>
</item>

<item>
<title>It’s safe to close your laptop now: Hosting coding agents on Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/13182</link>
<guid>https://news.jatlink.uk/13182</guid>
<description><![CDATA[ Amazon Bedrock AgentCore Runtime gives each agent session its own isolated microVM with a persistent workspace, secure tool access through Gateway, and built-in observability—so you can run Claude Code, Codex, Kiro, and Cursor in parallel without sharing secrets, ports, or filesystems. Close the lid, go to dinner, and pick up where you left off tomorrow. ]]></description>
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<pubDate>Mon, 08 Jun 2026 21:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>It’s, safe, close, your, laptop, now:, Hosting, coding, agents, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Better decisions at scale: How mathematical optimization delivers where intuition fails</title>
<link>https://news.jatlink.uk/13183</link>
<guid>https://news.jatlink.uk/13183</guid>
<description><![CDATA[ In this post, we introduce mathematical optimization, explain how it fits within the broader AI landscape, and showcase real-world success stories where the Innovation Center has partnered with customers to deliver concrete results. ]]></description>
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<pubDate>Mon, 08 Jun 2026 21:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Better, decisions, scale:, How, mathematical, optimization, delivers, where, intuition, fails</media:keywords>
</item>

<item>
<title>Introducing the OpenAI Economic Research Exchange</title>
<link>https://news.jatlink.uk/13180</link>
<guid>https://news.jatlink.uk/13180</guid>
<description><![CDATA[ OpenAI launches the Economic Research Exchange to study AI’s impact on jobs, productivity, and the economy. Applications are now open for selected research projects. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Mon, 08 Jun 2026 20:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, the, OpenAI, Economic, Research, Exchange</media:keywords>
</item>

<item>
<title>Evaluate your Amazon Nova Sonic voice agent at scale, no microphone required</title>
<link>https://news.jatlink.uk/13167</link>
<guid>https://news.jatlink.uk/13167</guid>
<description><![CDATA[ In this post, we walk you through the Nova Sonic Test Harness, an open source framework that we built to solve both problems. It serves as a rapid iteration tool for tuning system prompts and tool configurations (run a conversation, see results, adjust, repeat) and as a comprehensive evaluation framework for validating voice agent quality at scale. It runs complete multi-turn conversations with Amazon Nova Sonic automatically, evaluates them using LLM-as-judge techniques, and can even detect cases where the model’s audio output doesn’t match its text output (audio hallucinations). No microphone required. ]]></description>
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<pubDate>Mon, 08 Jun 2026 17:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Evaluate, your, Amazon, Nova, Sonic, voice, agent, scale, microphone, required</media:keywords>
</item>

<item>
<title>How the UK Is Turning Sovereign AI Ambition Into Action With NVIDIA Technologies</title>
<link>https://news.jatlink.uk/13136</link>
<guid>https://news.jatlink.uk/13136</guid>
<description><![CDATA[ A year ago at London Tech Week, NVIDIA founder and CEO Jensen Huang and U.K. Prime Minister Keir Starmer made a declaration: the U.K. would be an AI maker, not an AI taker.  At this year’s event, NVIDIA and its partners are showcasing how that commitment is producing real momentum across the nation’s infrastructure, startups […] ]]></description>
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<pubDate>Mon, 08 Jun 2026 10:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, the, Turning, Sovereign, Ambition, Into, Action, With, NVIDIA, Technologies</media:keywords>
</item>

<item>
<title>NVIDIA and LG Group Build an AI Factory to Advance Physical AI, Mobility and AI Infrastructure</title>
<link>https://news.jatlink.uk/13127</link>
<guid>https://news.jatlink.uk/13127</guid>
<description><![CDATA[ NVIDIA and LG Group are building an AI factory to accelerate LG Group’s next wave of AI-driven businesses, spanning robotics, autonomous driving, data center technologies and GPU cloud services. The AI factory will provide LG Group with accelerated computing infrastructure to train, simulate, validate and deploy AI-based applications across its key businesses.  The collaboration brings […] ]]></description>
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<pubDate>Mon, 08 Jun 2026 06:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, Group, Build, Factory, Advance, Physical, AI, Mobility, and, Infrastructure</media:keywords>
</item>

<item>
<title>NVIDIA and Doosan Group Collaborate to Advance Physical AI and AI Factory Infrastructure</title>
<link>https://news.jatlink.uk/13111</link>
<guid>https://news.jatlink.uk/13111</guid>
<description><![CDATA[ NVIDIA and Doosan Group are expanding their collaboration to advance new opportunities across physical AI, robotics and AI factory infrastructure, spanning Doosan Robotics, Doosan Bobcat, Doosan Enerbility and Doosan Corporation Electro-Materials BG. The collaboration will bring together NVIDIA’s full-stack accelerated computing platforms with Doosan Group’s capabilities in industrial automation, power generation and advanced electronics materials […] ]]></description>
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<pubDate>Mon, 08 Jun 2026 02:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, Doosan, Group, Collaborate, Advance, Physical, and, Factory, Infrastructure</media:keywords>
</item>

<item>
<title>NAVER Expands AI Infrastructure With NVIDIA to Serve Surging Global AI Demand</title>
<link>https://news.jatlink.uk/13112</link>
<guid>https://news.jatlink.uk/13112</guid>
<description><![CDATA[ NVIDIA and NAVER today announced that NAVER will expand sovereign AI infrastructure, starting at 55 megawatts with plans to move to gigawatt scale using the NVIDIA DSX™ platform to rapidly design, build and scale full-stack, end-to-end AI platforms that can serve enterprises, industries and government. ]]></description>
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<pubDate>Mon, 08 Jun 2026 02:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NAVER, Expands, Infrastructure, With, NVIDIA, Serve, Surging, Global, Demand</media:keywords>
</item>

<item>
<title>NVIDIA and SK hynix Announce Multiyear Technology Partnership to Advance Memory for AI Factories</title>
<link>https://news.jatlink.uk/13113</link>
<guid>https://news.jatlink.uk/13113</guid>
<description><![CDATA[ NVIDIA and SK hynix today announced a multiyear technology partnership to advance next-generation memory for the global AI factory buildout and accelerate semiconductor design and manufacturing. ]]></description>
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<pubDate>Mon, 08 Jun 2026 02:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, hynix, Announce, Multiyear, Technology, Partnership, Advance, Memory, for, Factories</media:keywords>
</item>

<item>
<title>SK Telecom and NVIDIA Build AI Infrastructure to Power Korea’s AI Innovation</title>
<link>https://news.jatlink.uk/13114</link>
<guid>https://news.jatlink.uk/13114</guid>
<description><![CDATA[ NVIDIA and SK Telecom today announced that SK Telecom plans to build a gigawatt-scale AI Cloud in Korea using the NVIDIA DSX™ platform, with the first AI factory coming online in 2027. ]]></description>
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<pubDate>Mon, 08 Jun 2026 02:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Telecom, and, NVIDIA, Build, Infrastructure, Power, Korea’s, Innovation</media:keywords>
</item>

<item>
<title>NVIDIA, KRAFTON, NC and Reigning ‘League of Legends’ Champions T1 Celebrate RTX Spark at Korea’s PC Bangs</title>
<link>https://news.jatlink.uk/13058</link>
<guid>https://news.jatlink.uk/13058</guid>
<description><![CDATA[ At GTC Taipei at COMPUTEX last week, NVIDIA unveiled RTX Spark, the superchip that reinvents Windows PCs for the era of personal AI agents. On the heels of this announcement, NVIDIA founder and CEO Jensen Huang headed to South Korea, where he introduced RTX Spark to the nation’s passionate gaming community. Leading game developers — […] ]]></description>
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<pubDate>Sun, 07 Jun 2026 10:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, KRAFTON, and, Reigning, ‘League, Legends’, Champions, Celebrate, RTX, Spark, Korea’s, Bangs</media:keywords>
</item>

<item>
<title>Seoul Purpose: How NVIDIA and South Korea Are Building the Future of AI</title>
<link>https://news.jatlink.uk/12913</link>
<guid>https://news.jatlink.uk/12913</guid>
<description><![CDATA[ Home to cutting-edge sovereign AI infrastructure and robotics innovators, as well as one of the world’s most passionate gaming communities, South Korea is one of the world’s centers of AI. NVIDIA founder and CEO Jensen Huang is in Seoul this week to meet the partners and builders behind that work. Stay tuned here for live […] ]]></description>
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<pubDate>Fri, 05 Jun 2026 10:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Seoul, Purpose:, How, NVIDIA, and, South, Korea, Are, Building, the, Future</media:keywords>
</item>

<item>
<title>Biodefense in the Intelligence Age</title>
<link>https://news.jatlink.uk/12885</link>
<guid>https://news.jatlink.uk/12885</guid>
<description><![CDATA[ An action plan for AI-powered biological resilience ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 05 Jun 2026 00:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Biodefense, the, Intelligence, Age</media:keywords>
</item>

<item>
<title>NVIDIA Nemotron 3 Ultra now available on Amazon SageMaker JumpStart</title>
<link>https://news.jatlink.uk/12873</link>
<guid>https://news.jatlink.uk/12873</guid>
<description><![CDATA[ Deploy NVIDIA Nemotron 3 Ultra on Amazon SageMaker JumpStart. Get 5x faster inference and 30% lower cost for agentic AI workloads with this frontier reasoning model. ]]></description>
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<pubDate>Thu, 04 Jun 2026 21:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Nemotron, Ultra, now, available, Amazon, SageMaker, JumpStart</media:keywords>
</item>

<item>
<title>Dreaming: Better memory for a more helpful ChatGPT</title>
<link>https://news.jatlink.uk/12872</link>
<guid>https://news.jatlink.uk/12872</guid>
<description><![CDATA[ ChatGPT introduces a new memory system to better remember preferences, keeping context fresh and relevant across conversations. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 04 Jun 2026 20:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Dreaming:, Better, memory, for, more, helpful, ChatGPT</media:keywords>
</item>

<item>
<title>Forecast: Fun Ahead — 18 Games Join in June to Stream on GeForce NOW</title>
<link>https://news.jatlink.uk/12858</link>
<guid>https://news.jatlink.uk/12858</guid>
<description><![CDATA[ June’s forecast with GeForce NOW: 100% chance of gaming. GeForce NOW is lining up new adventures for the month, from big-name blockbusters to quirky indies ready for the spotlight. Members can dive into fresh worlds, squad up in new playlists and discover “just one more run” favorites — all streaming from the cloud, no downloads […] ]]></description>
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<pubDate>Thu, 04 Jun 2026 18:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Forecast:, Fun, Ahead, —, Games, Join, June, Stream, GeForce, NOW</media:keywords>
</item>

<item>
<title>How Endava is redesigning software delivery around AI agents</title>
<link>https://news.jatlink.uk/12844</link>
<guid>https://news.jatlink.uk/12844</guid>
<description><![CDATA[ Learn how Endava is using AI agents, ChatGPT Enterprise, and Codex to accelerate software delivery, automate workflows, and build an AI-native culture across the enterprise. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 04 Jun 2026 12:00:33 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Endava, redesigning, software, delivery, around, agents</media:keywords>
</item>

<item>
<title>How to build self&amp;driving AI operations on Amazon Bedrock at scale</title>
<link>https://news.jatlink.uk/12801</link>
<guid>https://news.jatlink.uk/12801</guid>
<description><![CDATA[ In this post, we introduce Amazon Bedrock Ops Alert, a three-layer automated monitoring solution that proactively detects operational issues, dynamically adjusts alarm thresholds, classifies alarms by category, automatically creates context-aware support cases, helps prevent duplicate cases when an unresolved case of the same alarm category is already active, and delivers contextualized notifications to AI SRE teams. We walk through the solution architecture and how you can deploy it in your own environment. ]]></description>
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<pubDate>Thu, 04 Jun 2026 01:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, build, self-driving, operations, Amazon, Bedrock, scale</media:keywords>
</item>

<item>
<title>How Wasmer used Codex to build a Node.js runtime for the edge</title>
<link>https://news.jatlink.uk/12800</link>
<guid>https://news.jatlink.uk/12800</guid>
<description><![CDATA[ See how Wasmer used Codex with GPT-5.5 to build a Node.js runtime for the edge, accelerating development 10x to 20x and shipping in weeks instead of months. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 04 Jun 2026 01:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Wasmer, used, Codex, build, Node.js, runtime, for, the, edge</media:keywords>
</item>

<item>
<title>Introducing new capabilities to GPT&amp;Rosalind</title>
<link>https://news.jatlink.uk/12799</link>
<guid>https://news.jatlink.uk/12799</guid>
<description><![CDATA[ GPT-Rosalind advances life sciences research with enhanced biological reasoning, medicinal chemistry expertise, genomics analysis, and experimental workflow capabilities. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 04 Jun 2026 00:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, new, capabilities, GPT-Rosalind</media:keywords>
</item>

<item>
<title>Fundamental’s Large Tabular Model NEXUS is now available on Amazon SageMaker JumpStart</title>
<link>https://news.jatlink.uk/12784</link>
<guid>https://news.jatlink.uk/12784</guid>
<description><![CDATA[ In this post, we show you how to get started with NEXUS on Amazon SageMaker JumpStart, walk through the deployment process, and demonstrate how to run predictions against your enterprise datasets. ]]></description>
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<pubDate>Wed, 03 Jun 2026 21:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Fundamental’s, Large, Tabular, Model, NEXUS, now, available, Amazon, SageMaker, JumpStart</media:keywords>
</item>

<item>
<title>Reducing container cold start times using SOCI index on DLAMI and DLC</title>
<link>https://news.jatlink.uk/12785</link>
<guid>https://news.jatlink.uk/12785</guid>
<description><![CDATA[ In this post, we look at how to use SOCI on publicly available Deep Learning AMIs and Containers, when to use the various SOCI modes provided by the tool, and how to quickly and efficiently use this tool in your workloads today. ]]></description>
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<pubDate>Wed, 03 Jun 2026 21:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Reducing, container, cold, start, times, using, SOCI, index, DLAMI, and, DLC</media:keywords>
</item>

<item>
<title>A blueprint for democratic governance of frontier AI</title>
<link>https://news.jatlink.uk/12782</link>
<guid>https://news.jatlink.uk/12782</guid>
<description><![CDATA[ OpenAI outlines a blueprint for U.S. governance of frontier AI, proposing a federal framework for safety, resilience, and national security. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 03 Jun 2026 20:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>blueprint, for, democratic, governance, frontier</media:keywords>
</item>

<item>
<title>OpenAI public policy agenda</title>
<link>https://news.jatlink.uk/12783</link>
<guid>https://news.jatlink.uk/12783</guid>
<description><![CDATA[ OpenAI outlines its public policy agenda for AI, including safety, youth protection, workforce transition, and global standards to ensure AI benefits society. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 03 Jun 2026 20:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, public, policy, agenda</media:keywords>
</item>

<item>
<title>NVIDIA Research Unlocks Advanced Grasping, Smarter Autonomous Driving and Agent Training at Scale</title>
<link>https://news.jatlink.uk/12767</link>
<guid>https://news.jatlink.uk/12767</guid>
<description><![CDATA[ What makes a robot gripper useful isn’t that it can pick up one object — it’s that it can pick up the next one, and the one after that, with a tool it’s never held before.  What makes an autonomous vehicle system safe isn’t just that it can reason through a situation — it’s that […] ]]></description>
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<pubDate>Wed, 03 Jun 2026 18:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Research, Unlocks, Advanced, Grasping, Smarter, Autonomous, Driving, and, Agent, Training, Scale</media:keywords>
</item>

<item>
<title>NVIDIA Enables the Next Era Of Physical AI Research With Agent Skills For Autonomous Vehicles, Robotics And Vision AI</title>
<link>https://news.jatlink.uk/12768</link>
<guid>https://news.jatlink.uk/12768</guid>
<description><![CDATA[ At CVPR, NVIDIA is unveiling new physical AI agent skills that help researchers and developers speed the development of autonomous vehicles, robots and vision AI systems. The core challenge in physical AI research isn’t simply developing stronger models. It’s building a full workflow around them — reconstructing real-world scenes, generating edge-case scenarios, training policies, evaluating […] ]]></description>
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<pubDate>Wed, 03 Jun 2026 18:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Enables, the, Next, Era, Physical, Research, With, Agent, Skills, For, Autonomous, Vehicles, Robotics, And, Vision</media:keywords>
</item>

<item>
<title>Improve your agent’s tool&amp;calling accuracy with SFT and DPO on Amazon SageMaker AI</title>
<link>https://news.jatlink.uk/12766</link>
<guid>https://news.jatlink.uk/12766</guid>
<description><![CDATA[ In this post, you learn how to use Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO) together to improve the tool-calling accuracy of a small language model (SLM). The example uses Amazon SageMaker AI training jobs, so you can focus on training code instead of managing your own training infrastructure. You also learn how to evaluate tool-calling accuracy and compare a base model to several fine-tuned variants, so you can make data-driven decisions about model quality. ]]></description>
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<pubDate>Wed, 03 Jun 2026 17:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Improve, your, agent’s, tool-calling, accuracy, with, SFT, and, DPO, Amazon, SageMaker</media:keywords>
</item>

<item>
<title>Industrial Software Leaders Build Secure, Autonomous AI Engineers With NVIDIA NemoClaw</title>
<link>https://news.jatlink.uk/12709</link>
<guid>https://news.jatlink.uk/12709</guid>
<description><![CDATA[ Accelerated computing has revolutionized industrial engineering, compressing simulation times from weeks to hours.  Today’s remaining challenges sit in the end-to-end workflow surrounding the simulations: computer-aided design, meshing, simulation setup and debugging, as well as post-processing and generating summary reports of these processes.  At GTC Taipei at COMPUTEX, NVIDIA and more than a dozen engineering software […] ]]></description>
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<pubDate>Wed, 03 Jun 2026 02:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Industrial, Software, Leaders, Build, Secure, Autonomous, Engineers, With, NVIDIA, NemoClaw</media:keywords>
</item>

<item>
<title>NVIDIA Partners With Microsoft on Unified Stack for Agentic AI Deployment, From Windows Devices to Cloud to Local</title>
<link>https://news.jatlink.uk/12693</link>
<guid>https://news.jatlink.uk/12693</guid>
<description><![CDATA[ The agentic AI moment has arrived, but delivering on its promise requires more than good models. It also takes fast hardware, secure runtimes, a responsive data layer and models tuned for long-running reasoning. NVIDIA and Microsoft are bringing that full stack to developers across Windows devices, Azure cloud and local deployments. At Microsoft Build, NVIDIA […] ]]></description>
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<pubDate>Tue, 02 Jun 2026 22:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Partners, With, Microsoft, Unified, Stack, for, Agentic, Deployment, From, Windows, Devices, Cloud, Local</media:keywords>
</item>

<item>
<title>The art and science of hyperparameter optimization on Amazon Nova Forge</title>
<link>https://news.jatlink.uk/12691</link>
<guid>https://news.jatlink.uk/12691</guid>
<description><![CDATA[ Fine-tuning for domain-specific tasks means improving performance in one area without degrading the model’s general capabilities, and getting that balance right is harder than it looks. This post walks through how to navigate that balance, from selecting the right customization strategy for your data and task, to configuring the training parameters that most influence outcomes, like learning rate, batch size, and checkpointing. We also cover the common mistakes that lead to wasted training runs and how to catch them early, so you can improve domain performance without degrading general capabilities or burning through compute on avoidable failures. By the end, you will know how to improve domain performance without degrading general capabilities and how to avoid the expensive failures that come from getting the balance wrong. ]]></description>
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<pubDate>Tue, 02 Jun 2026 21:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>The, art, and, science, hyperparameter, optimization, Amazon, Nova, Forge</media:keywords>
</item>

<item>
<title>Object detection with Amazon Nova 2 Lite</title>
<link>https://news.jatlink.uk/12692</link>
<guid>https://news.jatlink.uk/12692</guid>
<description><![CDATA[ In this post, we&#039;ll walk through implementing object detection with Amazon Nova 2 Lite. You&#039;ll learn how to deploy an object detection application using Amazon Bedrock, AWS Lambda, and Amazon API Gateway. You&#039;ll also learn how to craft effective prompts, process structured JSON output, and visualize results. We explore practical applications across manufacturing, agriculture, and logistics. ]]></description>
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<pubDate>Tue, 02 Jun 2026 21:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Object, detection, with, Amazon, Nova, Lite</media:keywords>
</item>

<item>
<title>How Baz improved its AI Agent Code Review accuracy using Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/12678</link>
<guid>https://news.jatlink.uk/12678</guid>
<description><![CDATA[ This post walks through how Baz built their Spec Review agent using Amazon Bedrock and Amazon Bedrock AgentCore. We&#039;ll cover the architecture decisions, implementation details, and the business outcomes they achieved by leveraging these AWS services to automate their code review process ]]></description>
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<pubDate>Tue, 02 Jun 2026 17:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Baz, improved, its, Agent, Code, Review, accuracy, using, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Travelers deploys AI&amp;powered claims countrywide with OpenAI</title>
<link>https://news.jatlink.uk/12676</link>
<guid>https://news.jatlink.uk/12676</guid>
<description><![CDATA[ Travelers built an AI-powered Claim Assistant with OpenAI to guide customers through filing claims, provide 24/7 support, and scale operations during peak demand. ]]></description>
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<pubDate>Tue, 02 Jun 2026 17:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Travelers, deploys, AI-powered, claims, countrywide, with, OpenAI</media:keywords>
</item>

<item>
<title>Codex for every role, tool, and workflow</title>
<link>https://news.jatlink.uk/12677</link>
<guid>https://news.jatlink.uk/12677</guid>
<description><![CDATA[ Discover new Codex plugins, sites, and annotations that help analysts, marketers, designers, investors, and other teams get more done with AI. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 02 Jun 2026 17:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Codex, for, every, role, tool, and, workflow</media:keywords>
</item>

<item>
<title>Advancing youth safety and opportunity through global leadership</title>
<link>https://news.jatlink.uk/12675</link>
<guid>https://news.jatlink.uk/12675</guid>
<description><![CDATA[ OpenAI calls for global action on youth AI safety through a dedicated AI Safety Institute ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 02 Jun 2026 16:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Advancing, youth, safety, and, opportunity, through, global, leadership</media:keywords>
</item>

<item>
<title>Codex is becoming a productivity tool for everyone</title>
<link>https://news.jatlink.uk/12659</link>
<guid>https://news.jatlink.uk/12659</guid>
<description><![CDATA[ The Next Era of Knowledge Work report explores how Codex is transforming productivity through AI-powered research, data analysis, workflow automation, and content creation. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 02 Jun 2026 12:00:21 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Codex, becoming, productivity, tool, for, everyone</media:keywords>
</item>

<item>
<title>Why Financial Institutions Are Converging on Transaction Foundation Models to Build Their Own Intelligence</title>
<link>https://news.jatlink.uk/12642</link>
<guid>https://news.jatlink.uk/12642</guid>
<description><![CDATA[ Financial institutions have spent years building AI: fraud models, credit models, recommendation engines and risk systems. While this sprawl of task-specific models has been effective, it’s also constrained by siloed systems.  Siloed systems prevent institutions from developing a unified understanding of consumers’ financial behavior. As enterprise datasets keep growing, so does the gap between what […] ]]></description>
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<pubDate>Tue, 02 Jun 2026 10:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Why, Financial, Institutions, Are, Converging, Transaction, Foundation, Models, Build, Their, Own, Intelligence</media:keywords>
</item>

<item>
<title>NVIDIA Jetson Brings Agentic AI to the Physical World</title>
<link>https://news.jatlink.uk/12633</link>
<guid>https://news.jatlink.uk/12633</guid>
<description><![CDATA[ Agentic AI is getting physical. At COMPUTEX on Tuesday, NVIDIA announced NVIDIA JetPack 7.2 and NVIDIA NemoClaw support on Jetson.  JetPack 7.2 brings agentic AI skills, Yocto project support, NVIDIA CUDA 13 on NVIDIA Jetson Orin, a substantial performance gain on Jetson AGX Orin 32GB module and Multi-Instance GPU (MIG) support on NVIDIA Jetson Thor.  […] ]]></description>
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<pubDate>Tue, 02 Jun 2026 06:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Jetson, Brings, Agentic, the, Physical, World</media:keywords>
</item>

<item>
<title>Building a secure auth code flow setup using AgentCore Gateway with MCP clients</title>
<link>https://news.jatlink.uk/12632</link>
<guid>https://news.jatlink.uk/12632</guid>
<description><![CDATA[ This post demonstrates how to implement Open Authorization (OAuth) Code flow as an inbound authorization mechanism for MCP servers hosted on Amazon Bedrock AgentCore Gateway. By the end of this guide, you will have a production-ready setup where each AI assistant request is authenticated with a valid user identity token issued from your organization’s identity provider. ]]></description>
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<pubDate>Tue, 02 Jun 2026 05:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, secure, auth, code, flow, setup, using, AgentCore, Gateway, with, MCP, clients</media:keywords>
</item>

<item>
<title>Our views on AI policy and political advocacy</title>
<link>https://news.jatlink.uk/12631</link>
<guid>https://news.jatlink.uk/12631</guid>
<description><![CDATA[ Our approach to AI policy and political advocacy, transparency, support for thoughtful regulation and AI safety, and that no outside political group speaks on the company’s behalf. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 02 Jun 2026 04:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Our, views, policy, and, political, advocacy</media:keywords>
</item>

<item>
<title>OpenAI models and Codex on Amazon Bedrock are now generally available</title>
<link>https://news.jatlink.uk/12616</link>
<guid>https://news.jatlink.uk/12616</guid>
<description><![CDATA[ GPT-5.5, GPT-5.4, and Codex are now generally available on Amazon Bedrock. Deploy them in production applications and agents today, on Bedrock’s high performance inference engine.  ]]></description>
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<pubDate>Tue, 02 Jun 2026 01:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, models, and, Codex, Amazon, Bedrock, are, now, generally, available</media:keywords>
</item>

<item>
<title>Transforming rare cancer research with Amazon Quick: Integrating biomedical databases for breakthrough discoveries</title>
<link>https://news.jatlink.uk/12615</link>
<guid>https://news.jatlink.uk/12615</guid>
<description><![CDATA[ In this post, we walk through how to use Amazon Quick Research to integrate biomedical data sources for rare cancer research. The walkthrough uses pediatric sarcoma as the research domain and draws on publicly available datasets from PubMed and other open biomedical repositories. It covers the end-to-end workflow: defining a research objective, configuring data sources, reviewing the AI-generated research plan, running the investigation, and iterating on results using the revision and versioning system. ]]></description>
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<pubDate>Tue, 02 Jun 2026 01:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Transforming, rare, cancer, research, with, Amazon, Quick:, Integrating, biomedical, databases, for, breakthrough, discoveries</media:keywords>
</item>

<item>
<title>Reference your own AWS Secrets Manager secrets in Amazon Bedrock AgentCore Identity</title>
<link>https://news.jatlink.uk/12614</link>
<guid>https://news.jatlink.uk/12614</guid>
<description><![CDATA[ Today, we’re excited to announce the ability to reference a secret in AWS Secrets Manager for AgentCore Identity, so you can reference your own preconfigured secret from Secrets Manager and retain full control over how it is managed. With this ability, you can extend your organization’s existing secrets governance processes to AgentCore. You can provide an existing, preconfigured AWS Secrets Manager secret to use with your credential provider resources. You retain full control over its encryption configuration, rotation, replication, tags, and resource policies, just as you would manage other secrets in Secrets Manager. You can also choose a secret from another AWS account within the same AWS Region, though cross-Region secret sharing isn’t supported. This also supports secrets brought in through AWS Secrets Manager external connectors, enabling integration with third-party secret managers. ]]></description>
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<pubDate>Tue, 02 Jun 2026 01:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Reference, your, own, AWS, Secrets, Manager, secrets, Amazon, Bedrock, AgentCore, Identity</media:keywords>
</item>

<item>
<title>OpenAI frontier models and Codex are now available on AWS</title>
<link>https://news.jatlink.uk/12613</link>
<guid>https://news.jatlink.uk/12613</guid>
<description><![CDATA[ OpenAI frontier models and Codex are now generally available on AWS, giving enterprises a new path to build with OpenAI through the AWS environments, controls, and procurement workflows they already use. Customers can get started with OpenAI on AWS and move faster from evaluation to production. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 02 Jun 2026 00:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, frontier, models, and, Codex, are, now, available, AWS</media:keywords>
</item>

<item>
<title>AgentOps: Operationalize agentic AI at scale with Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/12596</link>
<guid>https://news.jatlink.uk/12596</guid>
<description><![CDATA[ When you build agentic AI solutions, you face unique operational challenges. Agents make unpredictable decisions, costs spiral unexpectedly, and debugging non-deterministic failures seems impossible. Agentic AI applications don&#039;t just execute predetermined workflows. They reason, adapt, and make autonomous decisions, and DevOps practices need to be adapted. That&#039;s where AgentOps comes in, the operational discipline for deploying, managing, and continuously improving AI agents in production. ]]></description>
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<pubDate>Mon, 01 Jun 2026 21:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>AgentOps:, Operationalize, agentic, scale, with, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Accelerate LLM model loading and increase context windows with GPUDirect on Amazon FSx for Lustre and TurboQuant</title>
<link>https://news.jatlink.uk/12597</link>
<guid>https://news.jatlink.uk/12597</guid>
<description><![CDATA[ If you’re iterating on deploying large language models (LLMs) on AWS GPU instances, you’ve probably noticed the larger the model to be loaded into GPU High Bandwidth Memory (HBM), the longer the painful wait until the GPUs are ready for inference. As models grow to hundreds of billions of parameters and GPU environments grow ever […] ]]></description>
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<pubDate>Mon, 01 Jun 2026 21:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Accelerate, LLM, model, loading, and, increase, context, windows, with, GPUDirect, Amazon, FSx, for, Lustre, and, TurboQuant</media:keywords>
</item>

<item>
<title>Amazon Quick integration with time&amp;series databases for market intelligence using MCP</title>
<link>https://news.jatlink.uk/12598</link>
<guid>https://news.jatlink.uk/12598</guid>
<description><![CDATA[ In this post, we walk through a practical implementation using KDB-X MCP server integration with Amazon Quick, demonstrating how traders and analysts can ask questions using conversational language and receive actionable insights from datasets. You can apply this same integration pattern across various domains, from financial market analysis to IoT sensor monitoring to DevOps performance dashboards, where you need to simplify access to time series insights. ]]></description>
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<pubDate>Mon, 01 Jun 2026 21:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Amazon, Quick, integration, with, time-series, databases, for, market, intelligence, using, MCP</media:keywords>
</item>

<item>
<title>Enable safe agentic payments with built&amp;in guardrails using Amazon Bedrock AgentCore payments</title>
<link>https://news.jatlink.uk/12595</link>
<guid>https://news.jatlink.uk/12595</guid>
<description><![CDATA[ In this post, we address several key risks that surface when designing an agentic payment system, and how to address them with the capabilities of AgentCore payments. ]]></description>
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<pubDate>Mon, 01 Jun 2026 21:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Enable, safe, agentic, payments, with, built-in, guardrails, using, Amazon, Bedrock, AgentCore, payments</media:keywords>
</item>

<item>
<title>Extending MCP support for Amazon Bedrock AgentCore Gateway</title>
<link>https://news.jatlink.uk/12593</link>
<guid>https://news.jatlink.uk/12593</guid>
<description><![CDATA[ While deploying Model Context Protocol (MCP) servers in production, enterprises need fine-grained access control across servers, observability into which teams use which tools, security guarantees against data exfiltration, and centralized credential management, all at scale. Amazon Bedrock AgentCore Gateway sits between MCP servers and the clients that consume them, centralizing credential management, observability, and secure […] ]]></description>
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<pubDate>Mon, 01 Jun 2026 21:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Extending, MCP, support, for, Amazon, Bedrock, AgentCore, Gateway</media:keywords>
</item>

<item>
<title>Secure AI agents with Policy and Lambda interceptors in Amazon Bedrock AgentCore gateway</title>
<link>https://news.jatlink.uk/12594</link>
<guid>https://news.jatlink.uk/12594</guid>
<description><![CDATA[ In this post, we use a lakehouse data agent to demonstrate how you can use Policy for deterministic access control and Lambda interceptors for dynamic validation. We then show how to combine Lambda interceptors and Policy to implement a geography-based access control which requires both dynamic validation and deterministic access control. ]]></description>
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<pubDate>Mon, 01 Jun 2026 21:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Secure, agents, with, Policy, and, Lambda, interceptors, Amazon, Bedrock, AgentCore, gateway</media:keywords>
</item>

<item>
<title>Building the infrastructure for the Intelligence Age in Michigan</title>
<link>https://news.jatlink.uk/12592</link>
<guid>https://news.jatlink.uk/12592</guid>
<description><![CDATA[ OpenAI breaks ground on a 1GW data center project in Michigan as part of Stargate, building AI infrastructure to expand access, create jobs, and support communities. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Mon, 01 Jun 2026 21:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, the, infrastructure, for, the, Intelligence, Age, Michigan</media:keywords>
</item>

<item>
<title>NVIDIA AI Cloud Ecosystem Expands Worldwide to Meet Global AI Compute Demand</title>
<link>https://news.jatlink.uk/12543</link>
<guid>https://news.jatlink.uk/12543</guid>
<description><![CDATA[ The NVIDIA AI Cloud ecosystem is accelerating the global buildout of AI factory infrastructure. Partners are expanding capacity to meet growing demand from enterprises, startups, nations, AI labs and developers scaling agentic AI applications.  NVIDIA AI Clouds are a growing ecosystem of purpose-built clouds serving the exploding token demand behind today’s most popular AI applications. […] ]]></description>
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<pubDate>Mon, 01 Jun 2026 10:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Cloud, Ecosystem, Expands, Worldwide, Meet, Global, Compute, Demand</media:keywords>
</item>

<item>
<title>NVIDIA Factory Operations Blueprint Gives Factories a New AI Brain</title>
<link>https://news.jatlink.uk/12544</link>
<guid>https://news.jatlink.uk/12544</guid>
<description><![CDATA[ As factories move from isolated automation to plant-wide intelligence, manufacturers need AI systems that can connect live machine signals, quality systems, work instructions and operational alerts into a unified decision layer.  Today at GTC Taipei at COMPUTEX, NVIDIA announced the NVIDIA Factory Operations Blueprint (FOX) — a reference design for building an autonomous factory manager […] ]]></description>
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<pubDate>Mon, 01 Jun 2026 10:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Factory, Operations, Blueprint, Gives, Factories, New, Brain</media:keywords>
</item>

<item>
<title>Taiwan’s Industry Titans Turbocharge World’s AI Infrastructure Buildout With NVIDIA</title>
<link>https://news.jatlink.uk/12545</link>
<guid>https://news.jatlink.uk/12545</guid>
<description><![CDATA[ Taiwan is home to more than 500 NVIDIA ecosystem partners. More than 1 million NVIDIA MGX rack components for NVIDIA Vera Rubin infrastructure come together in Taiwan, from across 25 factory sites. As Vera Rubin ramps into full production to power agentic AI factories worldwide, that ecosystem spans the full supply chain — from key […] ]]></description>
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<pubDate>Mon, 01 Jun 2026 10:00:11 +0100</pubDate>
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<media:keywords>Taiwan’s, Industry, Titans, Turbocharge, World’s, Infrastructure, Buildout, With, NVIDIA</media:keywords>
</item>

<item>
<title>NVIDIA and TSMC Bring AI Into Fabs to Advance Semiconductor Design and Manufacturing</title>
<link>https://news.jatlink.uk/12546</link>
<guid>https://news.jatlink.uk/12546</guid>
<description><![CDATA[ NVIDIA today announced that TSMC, the world’s leading semiconductor company, is using NVIDIA accelerated computing and AI to advance semiconductor design and manufacturing. ]]></description>
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<pubDate>Mon, 01 Jun 2026 10:00:11 +0100</pubDate>
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<media:keywords>NVIDIA, and, TSMC, Bring, Into, Fabs, Advance, Semiconductor, Design, and, Manufacturing</media:keywords>
</item>

<item>
<title>NVIDIA, Foxconn and Taiwan Medical Centers Bring Agentic and Physical AI to ‘Healthy Taiwan’</title>
<link>https://news.jatlink.uk/12547</link>
<guid>https://news.jatlink.uk/12547</guid>
<description><![CDATA[ NVIDIA today announced that Foxconn and Taiwan’s leading medical centers are deploying NVIDIA-powered special agent workforces to scale the region’s transition to AI‑driven health systems. ]]></description>
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<pubDate>Mon, 01 Jun 2026 10:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Foxconn, and, Taiwan, Medical, Centers, Bring, Agentic, and, Physical, ‘Healthy, Taiwan’</media:keywords>
</item>

<item>
<title>How Cosmos 3 Helps Physical AI Think Before It Acts</title>
<link>https://news.jatlink.uk/12521</link>
<guid>https://news.jatlink.uk/12521</guid>
<description><![CDATA[  ]]></description>
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<pubDate>Mon, 01 Jun 2026 06:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Cosmos, Helps, Physical, Think, Before, Acts</media:keywords>
</item>

<item>
<title>NVIDIA Releases Major Collection of Open Source Agent Tools and Skills for Physical AI</title>
<link>https://news.jatlink.uk/12517</link>
<guid>https://news.jatlink.uk/12517</guid>
<description><![CDATA[ NVIDIA today announced a major collection of open source physical AI skills and tools that help developers turn complex robotics, autonomous vehicle (AV), vision AI and industrial digital twin workflows into agent-executable tasks — reducing the costs, time and complexity of building physical AI workflows at scale. ]]></description>
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<pubDate>Mon, 01 Jun 2026 06:00:09 +0100</pubDate>
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<media:keywords>NVIDIA, Releases, Major, Collection, Open, Source, Agent, Tools, and, Skills, for, Physical</media:keywords>
</item>

<item>
<title>NVIDIA Announces NVIDIA Isaac GR00T Reference Humanoid Robot for Academic Research</title>
<link>https://news.jatlink.uk/12518</link>
<guid>https://news.jatlink.uk/12518</guid>
<description><![CDATA[ NVIDIA today announced the NVIDIA Isaac™ GR00T Reference Humanoid Robot, the first open humanoid robot reference design built on NVIDIA Jetson Thor™ and the NVIDIA Isaac GR00T open development platform. ]]></description>
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<pubDate>Mon, 01 Jun 2026 06:00:09 +0100</pubDate>
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<media:keywords>NVIDIA, Announces, NVIDIA, Isaac, GR00T, Reference, Humanoid, Robot, for, Academic, Research</media:keywords>
</item>

<item>
<title>NVIDIA DRIVE Hyperion Becomes the Global Platform for a Robotaxi&amp;Ready World</title>
<link>https://news.jatlink.uk/12519</link>
<guid>https://news.jatlink.uk/12519</guid>
<description><![CDATA[ NVIDIA today announced a major expansion of the NVIDIA DRIVE Hyperion™ robotaxi-ready platform ecosystem, bringing together leading global automakers, manufacturing and autonomous vehicle (AV) software ecosystem partners along with ride-hailing mobility providers to build and expand level 4-ready robotaxi fleets. ]]></description>
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<pubDate>Mon, 01 Jun 2026 06:00:09 +0100</pubDate>
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<media:keywords>NVIDIA, DRIVE, Hyperion, Becomes, the, Global, Platform, for, Robotaxi-Ready, World</media:keywords>
</item>

<item>
<title>NVIDIA Launches Alpamayo 2 Super Open Reasoning Model for Robotaxis</title>
<link>https://news.jatlink.uk/12520</link>
<guid>https://news.jatlink.uk/12520</guid>
<description><![CDATA[ News Summary: NVIDIA&#039;s most powerful open reasoning model to date, NVIDIA Alpamayo 2 Super is an open 32-billion-parameter reasoning VLA model that reasons, plans and acts across the full ... ]]></description>
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<pubDate>Mon, 01 Jun 2026 06:00:09 +0100</pubDate>
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<media:keywords>NVIDIA, Launches, Alpamayo, Super, Open, Reasoning, Model, for, Robotaxis</media:keywords>
</item>

<item>
<title>NVIDIA Launches Cosmos 3, the Open Frontier Foundation Model for Physical AI</title>
<link>https://news.jatlink.uk/12522</link>
<guid>https://news.jatlink.uk/12522</guid>
<description><![CDATA[ NVIDIA today launched NVIDIA Cosmos™ 3, an open world foundation model for physical AI built on a breakthrough mixture-of-transformers architecture that combines vision reasoning, world generation and action prediction in a single system. ]]></description>
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<pubDate>Mon, 01 Jun 2026 06:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Launches, Cosmos, the, Open, Frontier, Foundation, Model, for, Physical</media:keywords>
</item>

<item>
<title>NVIDIA DGX Station for Windows Puts a Trillion&amp;Parameter AI Supercomputer on Every Enterprise Desk</title>
<link>https://news.jatlink.uk/12523</link>
<guid>https://news.jatlink.uk/12523</guid>
<description><![CDATA[ NVIDIA today announced NVIDIA DGX Station™ for Windows, the world’s most powerful deskside AI supercomputer designed to build, run and connect always-on AI agents to Windows applications and workflows, capable of running frontier AI models of up to 1 trillion parameters locally. ]]></description>
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<pubDate>Mon, 01 Jun 2026 06:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, DGX, Station, for, Windows, Puts, Trillion-Parameter, Supercomputer, Every, Enterprise, Desk</media:keywords>
</item>

<item>
<title>NVIDIA Levels Up Local AI Agents Across RTX PCs and DGX Spark</title>
<link>https://news.jatlink.uk/12524</link>
<guid>https://news.jatlink.uk/12524</guid>
<description><![CDATA[ Personal agents are exploding in popularity, with open source projects like OpenClaw and Hermes seeing rapid adoption by AI developer communities on GitHub. Built to adapt to individual preferences and workflows, these agents can interact with applications, generate content, automate repetitive processes and manage multi-step tasks — all while running locally on device. Today at […] ]]></description>
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<pubDate>Mon, 01 Jun 2026 06:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Levels, Local, Agents, Across, RTX, PCs, and, DGX, Spark</media:keywords>
</item>

<item>
<title>NVIDIA and Microsoft Reinvent Windows PCs for the Age of Personal AI</title>
<link>https://news.jatlink.uk/12525</link>
<guid>https://news.jatlink.uk/12525</guid>
<description><![CDATA[ NVIDIA today unveiled NVIDIA RTX Spark™, a new superchip that reinvents Windows PCs for the era of personal AI agents — offering a new class of computer that moves from tool to teammate. ]]></description>
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<pubDate>Mon, 01 Jun 2026 06:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, Microsoft, Reinvent, Windows, PCs, for, the, Age, Personal</media:keywords>
</item>

<item>
<title>Enterprise Software Leaders Build AI Agents With NVIDIA</title>
<link>https://news.jatlink.uk/12526</link>
<guid>https://news.jatlink.uk/12526</guid>
<description><![CDATA[ NVIDIA today announced new software, open source models and partnerships with the world’s leading software platform providers to build autonomous AI agents for industries and enterprises across engineering, healthcare, software development and business operations. ]]></description>
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<pubDate>Mon, 01 Jun 2026 06:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Enterprise, Software, Leaders, Build, Agents, With, NVIDIA</media:keywords>
</item>

<item>
<title>Comprehensive observability for Amazon SageMaker AI LLM inference: From GPU utilization to LLM quality</title>
<link>https://news.jatlink.uk/12381</link>
<guid>https://news.jatlink.uk/12381</guid>
<description><![CDATA[ This post demonstrates a comprehensive observability solution using Amazon Managed Grafana dashboards that provides a holistic view of both quality and quantity for LLMs served on Amazon SageMaker AI endpoints with inference components. ]]></description>
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<pubDate>Sat, 30 May 2026 01:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Comprehensive, observability, for, Amazon, SageMaker, LLM, inference:, From, GPU, utilization, LLM, quality</media:keywords>
</item>

<item>
<title>How Braintrust turns customer requests into code with Codex</title>
<link>https://news.jatlink.uk/12365</link>
<guid>https://news.jatlink.uk/12365</guid>
<description><![CDATA[ How Braintrust engineers use Codex with GPT-5.5 to run experiments and code faster. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 29 May 2026 20:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Braintrust, turns, customer, requests, into, code, with, Codex</media:keywords>
</item>

<item>
<title>Boston Children’s uses AI to unlock new diagnoses</title>
<link>https://news.jatlink.uk/12366</link>
<guid>https://news.jatlink.uk/12366</guid>
<description><![CDATA[ Boston Children’s Hospital uses OpenAI technology to improve patient care, reduce operational burden, and help diagnose more than 40 rare disease cases. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 29 May 2026 20:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Boston, Children’s, uses, unlock, new, diagnoses</media:keywords>
</item>

<item>
<title>A shared playbook for trustworthy third party evaluations</title>
<link>https://news.jatlink.uk/12367</link>
<guid>https://news.jatlink.uk/12367</guid>
<description><![CDATA[ OpenAI shares guidance on third-party AI evaluations, covering how to assess model capabilities, safeguards, and validity for frontier systems. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 29 May 2026 20:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>shared, playbook, for, trustworthy, third, party, evaluations</media:keywords>
</item>

<item>
<title>Strengthening societal resilience with Rosalind Biodefense</title>
<link>https://news.jatlink.uk/12336</link>
<guid>https://news.jatlink.uk/12336</guid>
<description><![CDATA[ OpenAI launches Rosalind Biodefense, expanding trusted access to GPT-Rosalind for vetted developers and U.S. government partners advancing biodefense, public health, and pandemic preparedness through frontier AI. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 29 May 2026 12:00:24 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Strengthening, societal, resilience, with, Rosalind, Biodefense</media:keywords>
</item>

<item>
<title>MUFG aims to become AI&amp;native with OpenAI</title>
<link>https://news.jatlink.uk/12319</link>
<guid>https://news.jatlink.uk/12319</guid>
<description><![CDATA[ MUFG uses ChatGPT Enterprise to build an AI-native organization, improve workflows, and deliver new AI-powered financial services at scale. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 29 May 2026 08:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>MUFG, aims, become, AI-native, with, OpenAI</media:keywords>
</item>

<item>
<title>Streamline external access to Amazon SageMaker MLflow using a REST API proxy</title>
<link>https://news.jatlink.uk/12300</link>
<guid>https://news.jatlink.uk/12300</guid>
<description><![CDATA[ In this post, we demonstrate how to build a secure Flask-based MLflow proxy service that provides HTTPS access to Amazon SageMaker MLflow without requiring the MLflow SDK. This solution is for organizations undergoing cloud transformation who want to preserve their existing ML workflows while adopting cloud-native services. ]]></description>
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<pubDate>Fri, 29 May 2026 01:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Streamline, external, access, Amazon, SageMaker, MLflow, using, REST, API, proxy</media:keywords>
</item>

<item>
<title>Evaluating Deep Agents using LangSmith on AWS</title>
<link>https://news.jatlink.uk/12301</link>
<guid>https://news.jatlink.uk/12301</guid>
<description><![CDATA[ This post combines learnings from LangChain’s work on evaluating deep agents and Anthropic’s guide to demystifying evals for AI agents into a practical guide. In this post, you will learn how to: 1) apply five evaluation patterns for deep agents, 2) build offline evaluations using pytest and LangSmith, and 3) configure online monitoring for production. The walkthrough uses a text-to-SQL deep agent with Amazon Bedrock for the full development to production lifecycle. ]]></description>
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<pubDate>Fri, 29 May 2026 01:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Evaluating, Deep, Agents, using, LangSmith, AWS</media:keywords>
</item>

<item>
<title>Build a custom portal with embedded Amazon SageMaker AI MLflow Apps</title>
<link>https://news.jatlink.uk/12299</link>
<guid>https://news.jatlink.uk/12299</guid>
<description><![CDATA[ In this post, you learn how to build a custom portal with embedded SageMaker AI MLflow Apps UI. You walk through the architecture pattern behind a React front end paired with a Flask reverse proxy that handles AWS Signature Version 4 (SigV4) authentication, deploy the entire stack through the AWS Cloud Development Kit (AWS CDK), validate the deployment, and review security considerations and cleanup procedures. ]]></description>
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<pubDate>Fri, 29 May 2026 01:00:16 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, custom, portal, with, embedded, Amazon, SageMaker, MLflow, Apps</media:keywords>
</item>

<item>
<title>Training Azerbaijani language models on Amazon SageMaker AI</title>
<link>https://news.jatlink.uk/12298</link>
<guid>https://news.jatlink.uk/12298</guid>
<description><![CDATA[ Azercell Telecom LLC, Azerbaijan&#039;s leading telecommunications provider, wanted to build an Azerbaijani large language model (LLM) on Amazon SageMaker AI for telecom use cases and a customer-facing chatbot. The challenge: adapting foundation models (FMs) to a morphologically rich language with limited training data and no existing blueprint for efficient LLM training in Azerbaijani. In a six-week collaboration, Azercell worked with the AWS Generative AI Innovation Center to establish a production-ready framework on Amazon SageMaker AI. ]]></description>
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<pubDate>Fri, 29 May 2026 01:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Training, Azerbaijani, language, models, Amazon, SageMaker</media:keywords>
</item>

<item>
<title>How Endava builds an agentic organization with Codex</title>
<link>https://news.jatlink.uk/12297</link>
<guid>https://news.jatlink.uk/12297</guid>
<description><![CDATA[ Learn how Endava uses Codex to build an agentic organization, accelerating software delivery and reducing requirements analysis from weeks to hours. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 29 May 2026 01:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Endava, builds, agentic, organization, with, Codex</media:keywords>
</item>

<item>
<title>Claude Opus 4.8 is now available on AWS</title>
<link>https://news.jatlink.uk/12281</link>
<guid>https://news.jatlink.uk/12281</guid>
<description><![CDATA[ This post covers Opus 4.8&#039;s improvements and practical guidance for AI engineers integrating the model into agentic systems and production inference workloads on Amazon Bedrock. ]]></description>
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<pubDate>Thu, 28 May 2026 21:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Claude, Opus, 4.8, now, available, AWS</media:keywords>
</item>

<item>
<title>Build a test suite that grows with your agent with dataset management in Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/12280</link>
<guid>https://news.jatlink.uk/12280</guid>
<description><![CDATA[ Agent evaluation is most powerful when you combine fast-moving online signals with stable offline baselines. To understand whether your agent is truly improving over time, you need a fixed benchmark alongside your changing real-world traffic. Managing test cases for evaluation baselines as a dataset in Amazon Bedrock AgentCore brings the discipline of versioned test fixtures […] ]]></description>
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<pubDate>Thu, 28 May 2026 21:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, test, suite, that, grows, with, your, agent, with, dataset, management, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Automate AML alert triage with Amazon Quick and Snowflake Cortex AI</title>
<link>https://news.jatlink.uk/12282</link>
<guid>https://news.jatlink.uk/12282</guid>
<description><![CDATA[ This post demonstrates that integration in action by automating one of the most labor-intensive workflows in financial services: anti-money laundering (AML) alert triage. You will build a triage workflow using Amazon Quick Flows and Snowflake Cortex, connected through the Amazon Quick Model Context Protocol (MCP) integration. In our testing environment, automated workflows built using Amazon Quick reduced alert investigation time from 30-90 minutes to under 5 minutes. Actual results may vary based on alert complexity and data volume. ]]></description>
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<pubDate>Thu, 28 May 2026 21:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Automate, AML, alert, triage, with, Amazon, Quick, and, Snowflake, Cortex</media:keywords>
</item>

<item>
<title>OpenAI’s Frontier Governance Framework</title>
<link>https://news.jatlink.uk/12279</link>
<guid>https://news.jatlink.uk/12279</guid>
<description><![CDATA[ Explore OpenAI’s Frontier Governance Framework and how our AI safety, security, and risk practices align with emerging EU and California regulations. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 28 May 2026 20:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI’s, Frontier, Governance, Framework</media:keywords>
</item>

<item>
<title>NVIDIA Research Advances Robotics From Simulation to the Real World</title>
<link>https://news.jatlink.uk/12262</link>
<guid>https://news.jatlink.uk/12262</guid>
<description><![CDATA[ Robotics is entering a new phase: moving from controlled demos and scripted automation toward generalizable, reliable embodied autonomy in the real world.  At the International Conference on Robotics and Automation (ICRA), eight of NVIDIA Research’s 28 accepted papers show how simulation-to-real transfer is becoming a foundation for that shift, helping robots perceive, reason, plan and […] ]]></description>
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<pubDate>Thu, 28 May 2026 18:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Research, Advances, Robotics, From, Simulation, the, Real, World</media:keywords>
</item>

<item>
<title>The Name’s Gaming … Cloud Gaming: ‘007 First Light’ Launches on GeForce NOW</title>
<link>https://news.jatlink.uk/12263</link>
<guid>https://news.jatlink.uk/12263</guid>
<description><![CDATA[ License to stream, shaken and stirred. GeForce NOW is dialing up the espionage with the launch of 007 First Light, letting members slip into James Bond’s reimagined origin story from almost any device — no tux or preloads required.  For a limited time, the game is included with the purchase of a 12‑month GeForce NOW […] ]]></description>
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<pubDate>Thu, 28 May 2026 18:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>The, Name’s, Gaming, …, Cloud, Gaming:, ‘007, First, Light’, Launches, GeForce, NOW</media:keywords>
</item>

<item>
<title>Building AI agents for business support using Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/12206</link>
<guid>https://news.jatlink.uk/12206</guid>
<description><![CDATA[ In this post, we share how the AWS Generative AI Innovation Center (GenAIIC) collaborated with Works Human Intelligence (WHI) to build two AI agents using Amazon Bedrock AgentCore. We discuss the challenges encountered and the solutions that reduced costs by up to 97% while improving operational efficiency. ]]></description>
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<pubDate>Thu, 28 May 2026 01:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, agents, for, business, support, using, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>From data overload to actionable insights: How Verizon Connect scaled agentic AI to 100,000 users</title>
<link>https://news.jatlink.uk/12207</link>
<guid>https://news.jatlink.uk/12207</guid>
<description><![CDATA[ In this post, we show you how Verizon Connect built and scaled an agentic AI solution to transform overwhelming fleet data into clear, actionable insights for 100,000 users daily. We walk you through the architectural decisions, implementation challenges, and measurable results that can guide your own data-to-insights transformation. ]]></description>
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<pubDate>Thu, 28 May 2026 01:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>From, data, overload, actionable, insights:, How, Verizon, Connect, scaled, agentic, 100, 000, users</media:keywords>
</item>

<item>
<title>Process financial documents using Amazon Bedrock Data Automation</title>
<link>https://news.jatlink.uk/12205</link>
<guid>https://news.jatlink.uk/12205</guid>
<description><![CDATA[ In this post, we explore how Amazon Bedrock Data Automation can accurately extract information from four common types of financial documents: bank statements, W-2 forms, 1099-B tax forms, and vendor contracts. We highlight the complexity in the documents, detail the custom extraction created in Amazon Bedrock Data Automation, and describe the outcomes of the extraction process. ]]></description>
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<pubDate>Thu, 28 May 2026 01:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Process, financial, documents, using, Amazon, Bedrock, Data, Automation</media:keywords>
</item>

<item>
<title>Cisco and OpenAI redefine enterprise engineering with Codex</title>
<link>https://news.jatlink.uk/12204</link>
<guid>https://news.jatlink.uk/12204</guid>
<description><![CDATA[ Cisco and OpenAI are redefining enterprise engineering with Codex, helping Cisco scale AI-native development, accelerate AI Defense work, and automate defect remediation. ]]></description>
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<pubDate>Thu, 28 May 2026 00:00:16 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Cisco, and, OpenAI, redefine, enterprise, engineering, with, Codex</media:keywords>
</item>

<item>
<title>Powering agentic AI sales strategy with Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/12190</link>
<guid>https://news.jatlink.uk/12190</guid>
<description><![CDATA[ As agent adoption scaled, we saw a common pattern emerge across enterprises, including our own sales organization: specialized agents deliver value, but without orchestration, users carry the cognitive load of choosing between them. At AWS Sales, this meant more than 20 domain-specific agents deployed across the global organization, with representatives context-switching between systems instead of […] ]]></description>
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<pubDate>Wed, 27 May 2026 21:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Powering, agentic, sales, strategy, with, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Warp’s big bet on building open source with GPT&amp;5.5</title>
<link>https://news.jatlink.uk/12188</link>
<guid>https://news.jatlink.uk/12188</guid>
<description><![CDATA[ Warp uses GPT-5.5 and OpenAI models to coordinate coding agents across local, cloud, and open-source development workflows. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 27 May 2026 21:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Warp’s, big, bet, building, open, source, with, GPT-5.5</media:keywords>
</item>

<item>
<title>How AWS SMGS uses an AI&amp;powered conversational assistant to transform business management with Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/12189</link>
<guid>https://news.jatlink.uk/12189</guid>
<description><![CDATA[ In this post, we share how we built NarrateAI using Amazon Bedrock AgentCore to deliver business intelligence at scale for the AWS SMGS (Sales, Marketing and Global Services) organization. You will learn about: the two-layer architecture that separates batch processing from real-time interaction, the specialized AI agents that power intelligent routing and validation, key engineering patterns for production deployment, and how to build similar solutions with AWS services. ]]></description>
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<pubDate>Wed, 27 May 2026 21:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, AWS, SMGS, uses, AI-powered, conversational, assistant, transform, business, management, with, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Election information and safeguards in 2026</title>
<link>https://news.jatlink.uk/12187</link>
<guid>https://news.jatlink.uk/12187</guid>
<description><![CDATA[ Ahead of global elections, we’re helping people access information, supporting cyber defenders, and increasing AI transparency ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 27 May 2026 20:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Election, information, and, safeguards, 2026</media:keywords>
</item>

<item>
<title>AI Factories: The New Infrastructure of Intelligence</title>
<link>https://news.jatlink.uk/12174</link>
<guid>https://news.jatlink.uk/12174</guid>
<description><![CDATA[ AI factories are token factories, converting power into intelligence in real time. And as agentic AI scales and autonomous, always-on special agents are deployed in the enterprise, performance per watt and cost per token become the economics that matter. ]]></description>
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<pubDate>Wed, 27 May 2026 18:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Factories:, The, New, Infrastructure, Intelligence</media:keywords>
</item>

<item>
<title>Building self&amp;improving tax agents with Codex</title>
<link>https://news.jatlink.uk/12173</link>
<guid>https://news.jatlink.uk/12173</guid>
<description><![CDATA[ See how OpenAI, Thrive, and Crete built a self-improving tax agent with Codex, automating filings, improving accuracy, and accelerating workflows. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 27 May 2026 16:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, self-improving, tax, agents, with, Codex</media:keywords>
</item>

<item>
<title>NVIDIA Vera CPU Is ‘Packing a Heavy&amp;Hitting Punch’ Against Competition</title>
<link>https://news.jatlink.uk/12121</link>
<guid>https://news.jatlink.uk/12121</guid>
<description><![CDATA[ The shift to agentic AI creates a new CPU requirement for the AI factory: fast cores, massive memory bandwidth and the ability to sustain high performance when all cores are active. Initial benchmark results published by Phoronix today show that the NVIDIA Vera CPU meets this need. For this first public look, the benchmark scope […] ]]></description>
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<pubDate>Wed, 27 May 2026 02:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Vera, CPU, ‘Packing, Heavy-Hitting, Punch’, Against, Competition</media:keywords>
</item>

<item>
<title>AgentWatch: Proactive AWS monitoring with ambient agents</title>
<link>https://news.jatlink.uk/12102</link>
<guid>https://news.jatlink.uk/12102</guid>
<description><![CDATA[ In this post, we demonstrate the capabilities of AgentWatch through practical implementation. You will see how the solution performs infrastructure checks every 15 minutes, summarizing CloudWatch metrics, logs, and alarms across multiple AWS accounts. The agent delivers actionable reports directly to Slack and responds to natural language queries about your infrastructure state. Throughout, we explore three human-in-the-loop patterns that maintain appropriate oversight while maximizing automation. ]]></description>
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<pubDate>Tue, 26 May 2026 21:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>AgentWatch:, Proactive, AWS, monitoring, with, ambient, agents</media:keywords>
</item>

<item>
<title>From idea to AI app: Creating intelligent research assistants with Strands</title>
<link>https://news.jatlink.uk/12103</link>
<guid>https://news.jatlink.uk/12103</guid>
<description><![CDATA[ Building an AI app shouldn’t require a PhD in machine learning (ML) or months of wrestling with complex architectures. Yet that’s exactly what happens when you try to orchestrate multiple API calls, manage conversation state, and create agents that can reason on their own. I’ve seen straightforward AI ideas balloon into sprawling projects that demand […] ]]></description>
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<pubDate>Tue, 26 May 2026 21:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>From, idea, app:, Creating, intelligent, research, assistants, with, Strands</media:keywords>
</item>

<item>
<title>Build an enterprise observability solution for Amazon Quick</title>
<link>https://news.jatlink.uk/12104</link>
<guid>https://news.jatlink.uk/12104</guid>
<description><![CDATA[ When hundreds to thousands of users are onboarded to an enterprise AI platform, business leaders and platform owners need visibility into who is using the platform, whether users are satisfied with the answers they receive, and which capabilities are driving the most engagement. Without a centralized observability solution, this data is scattered across multiple AWS […] ]]></description>
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<pubDate>Tue, 26 May 2026 21:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, enterprise, observability, solution, for, Amazon, Quick</media:keywords>
</item>

<item>
<title>Technical deep dive: AgentCore payments and innovation in agentic commerce</title>
<link>https://news.jatlink.uk/12099</link>
<guid>https://news.jatlink.uk/12099</guid>
<description><![CDATA[ Amazon Bedrock AgentCore payments is now available in preview, it provides instant payments to paid external services with no manual billing setup per provider, stablecoin support for cost-effective microtransactions that make sub-cent transactions economically viable, and configurable spending guardrails that give you fine-grained control over agent budgets and transaction limits. In this post, we walk you through a technical deep dive of AgentCore payments. ]]></description>
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<pubDate>Tue, 26 May 2026 21:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Technical, deep, dive:, AgentCore, payments, and, innovation, agentic, commerce</media:keywords>
</item>

<item>
<title>Build highly scalable serverless LangGraph multi&amp;agent systems in AWS with Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/12100</link>
<guid>https://news.jatlink.uk/12100</guid>
<description><![CDATA[ In this post, we provide a solution to build highly scalable, serverless multi-agent generative AI systems on AWS using LangGraph Agents as orchestrators integrated with Amazon Bedrock AgentCore Memory and Amazon Bedrock AgentCore Observability. ]]></description>
<enclosure url="http://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2026/05/26/20165.png" length="49398" type="image/jpeg"/>
<pubDate>Tue, 26 May 2026 21:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, highly, scalable, serverless, LangGraph, multi-agent, systems, AWS, with, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Build high&amp;performance generative AI systems with Strands Agents, NVIDIA NIM, and Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/12101</link>
<guid>https://news.jatlink.uk/12101</guid>
<description><![CDATA[ In this post you&#039;ll learn how to build a multi-agent campaign review system that demonstrates parallel reasoning, context persistence, and traceable execution paths using an integrated architecture that combines NVIDIA NIM for GPU-accelerated inference. Amazon Bedrock AgentCore provides managed runtime, shared memory and built-in observability and Strands Agents provide serverless multi-agent orchestration. This approach supports performance, scalability, and operational insight in production environments. While the example focuses on marketing content review, the same pattern applies to digital assistants, review automation, and retrieval-augmented generation pipelines. ]]></description>
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<pubDate>Tue, 26 May 2026 21:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, high-performance, generative, systems, with, Strands, Agents, NVIDIA, NIM, and, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Transforming professional work: How Amazon Quick turns document creation from hours into minutes</title>
<link>https://news.jatlink.uk/12087</link>
<guid>https://news.jatlink.uk/12087</guid>
<description><![CDATA[ In this post, we explore how the Amazon Quick document and visualization creation capabilities work, what you can build with them, and how professionals across roles are using them to reclaim hours of their workweek. From technical execution to strategic judgment Most professional roles carry an unspoken assumption that a significant portion of your time […] ]]></description>
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<pubDate>Tue, 26 May 2026 17:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Transforming, professional, work:, How, Amazon, Quick, turns, document, creation, from, hours, into, minutes</media:keywords>
</item>

<item>
<title>OpenAI, Grupo Folha and Grupo UOL announce strategic content partnership</title>
<link>https://news.jatlink.uk/12014</link>
<guid>https://news.jatlink.uk/12014</guid>
<description><![CDATA[ OpenAI partners with Grupo Folha and Grupo UOL to bring trusted Brazilian journalism to ChatGPT, expanding access to news with attribution and transparency. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Mon, 25 May 2026 21:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, Grupo, Folha, and, Grupo, UOL, announce, strategic, content, partnership</media:keywords>
</item>

<item>
<title>How Virgin Atlantic ships faster with Codex</title>
<link>https://news.jatlink.uk/11834</link>
<guid>https://news.jatlink.uk/11834</guid>
<description><![CDATA[ How Virgin Atlantic used Codex to ship its revamped mobile app on a fixed holiday travel deadline, reaching near-total unit test coverage and zero P1 defects. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Sat, 23 May 2026 00:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Virgin, Atlantic, ships, faster, with, Codex</media:keywords>
</item>

<item>
<title>OpenAI named a Leader in enterprise coding agents by Gartner</title>
<link>https://news.jatlink.uk/11806</link>
<guid>https://news.jatlink.uk/11806</guid>
<description><![CDATA[ OpenAI is named a leader in the 2026 Gartner Magic Quadrant for Enterprise AI Coding Agents, with Codex recognized for innovation and enterprise-scale deployment. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 22 May 2026 17:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, named, Leader, enterprise, coding, agents, Gartner</media:keywords>
</item>

<item>
<title>NVIDIA Announces Upcoming Events for Financial Community</title>
<link>https://news.jatlink.uk/11754</link>
<guid>https://news.jatlink.uk/11754</guid>
<description><![CDATA[ NVIDIA will present at the following events for the financial community: TD Cowen 54th Annual Technology, Media, &amp; Telecom Conference Thursday, May 28, at 7:15 a.m. PT BofA Global Technology ... ]]></description>
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<pubDate>Fri, 22 May 2026 02:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Announces, Upcoming, Events, for, Financial, Community</media:keywords>
</item>

<item>
<title>Amazon Nova Act is now HIPAA eligible</title>
<link>https://news.jatlink.uk/11753</link>
<guid>https://news.jatlink.uk/11753</guid>
<description><![CDATA[ In this post, you will learn what Nova Act offers, how HIPAA eligibility applies to agentic AI, and how to get started. ]]></description>
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<pubDate>Fri, 22 May 2026 01:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Amazon, Nova, Act, now, HIPAA, eligible</media:keywords>
</item>

<item>
<title>Build an AI&amp;powered recruitment assistant using Amazon Bedrock</title>
<link>https://news.jatlink.uk/11738</link>
<guid>https://news.jatlink.uk/11738</guid>
<description><![CDATA[ In this post, we demonstrate how to build an AI-powered recruitment assistant using Amazon Bedrock that brings efficiencies to candidate evaluation, generates personalized interview questions, and provides data-driven insights for human hiring decisions. This post presents a reference architecture for learning purposes — not a production-ready solution. Amazon Bedrock and the AWS services used here are general-purpose tools that customers can combine to support a wide variety of use cases, including recruitment workflows. The architecture demonstrates one possible approach; customers should adapt it to their specific requirements. ]]></description>
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<pubDate>Thu, 21 May 2026 21:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, AI-powered, recruitment, assistant, using, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Building multi&amp;tenant agents with Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/11735</link>
<guid>https://news.jatlink.uk/11735</guid>
<description><![CDATA[ This post explores design considerations for architecting multi-tenant agentic applications and the framework needed to address SaaS architecture challenges with Amazon Bedrock AgentCore. ]]></description>
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<pubDate>Thu, 21 May 2026 21:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, multi-tenant, agents, with, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Intelligent radiology workflow optimization with AI agents</title>
<link>https://news.jatlink.uk/11733</link>
<guid>https://news.jatlink.uk/11733</guid>
<description><![CDATA[ Many healthcare organizations report that traditional worklist systems rely on rigid rules that ignore critical context, radiologist specialization, current workload, fatigue levels, and case complexity. This creates a persistent challenge: radiologists cherry-pick easier, higher-value cases while avoiding complex studies, leading to diagnostic delays and increased costs. Research across 62 hospitals analyzing 2.2 million studies found […] ]]></description>
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<pubDate>Thu, 21 May 2026 21:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Intelligent, radiology, workflow, optimization, with, agents</media:keywords>
</item>

<item>
<title>Integrating AWS API MCP Server with Amazon Quick using Amazon Bedrock AgentCore Runtime</title>
<link>https://news.jatlink.uk/11734</link>
<guid>https://news.jatlink.uk/11734</guid>
<description><![CDATA[ This post shows you how to use Amazon Bedrock AgentCore Runtime with Model Context Protocol (MCP) support to connect Amazon Quick with AWS services through the AWS API MCP Server, creating a conversational AI assistant that translates natural language into AWS Command Line Interface (AWS CLI) commands, without the need to switch between tools during critical moments. ]]></description>
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<pubDate>Thu, 21 May 2026 21:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Integrating, AWS, API, MCP, Server, with, Amazon, Quick, using, Amazon, Bedrock, AgentCore, Runtime</media:keywords>
</item>

<item>
<title>Break the context window barrier with Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/11736</link>
<guid>https://news.jatlink.uk/11736</guid>
<description><![CDATA[ In this post, you will learn how to implement Recursive Language Models (RLM) using Amazon Bedrock AgentCore Code Interpreter and the Strands Agents SDK. By the end, you will know how to process documents of varying lengths, with no upper bound on context size, use Bedrock AgentCore Code Interpreter as persistent working memory for iterative document analysis, and orchestrate sub-large language model (sub-LLM) calls from within a sandboxed Python environment to analyze specific document sections. ]]></description>
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<pubDate>Thu, 21 May 2026 21:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Break, the, context, window, barrier, with, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Build AI agents for business intelligence with Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/11737</link>
<guid>https://news.jatlink.uk/11737</guid>
<description><![CDATA[ In this post, we show you how OPLOG developed three AI agents using the Strands Agents SDK, deployed them to Amazon Bedrock AgentCore, and integrated Amazon Bedrock with Anthropic’s Claude Sonnet and Amazon Bedrock Knowledge Bases for Retrieval Augmented Generation (RAG). ]]></description>
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<pubDate>Thu, 21 May 2026 21:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, agents, for, business, intelligence, with, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>AdventHealth advances whole&amp;person care with OpenAI</title>
<link>https://news.jatlink.uk/11732</link>
<guid>https://news.jatlink.uk/11732</guid>
<description><![CDATA[ AdventHealth is using ChatGPT for Healthcare to streamline workflows, reduce administrative burden, and return more time to patient care. ]]></description>
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<pubDate>Thu, 21 May 2026 20:00:36 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>AdventHealth, advances, whole-person, care, with, OpenAI</media:keywords>
</item>

<item>
<title>NVIDIA GTC Taipei at COMPUTEX: Live Updates on What’s Next in AI</title>
<link>https://news.jatlink.uk/11713</link>
<guid>https://news.jatlink.uk/11713</guid>
<description><![CDATA[ At NVIDIA GTC Taipei at COMPUTEX, the world’s developers, researchers and industry leaders are converging to dive into the latest breakthroughs shaping every industry, covering topics spanning AI factories and scaling infrastructure to agentic and physical AI and more.  ]]></description>
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<pubDate>Thu, 21 May 2026 18:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, GTC, Taipei, COMPUTEX:, Live, Updates, What’s, Next</media:keywords>
</item>

<item>
<title>License to Stream: ‘007 First Light’ Coming to GeForce NOW With an Ultimate Bundle</title>
<link>https://news.jatlink.uk/11714</link>
<guid>https://news.jatlink.uk/11714</guid>
<description><![CDATA[ The mission begins now. GeForce NOW is dialing up the action with a blockbuster mix of spy thrills, high-speed racing and member rewards — plus eight new games joining the cloud this week, all ready to stream instantly. Leading the drop: the 007 First Light Ultimate Membership Bundle, which brings a brand-new way to jump […] ]]></description>
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<pubDate>Thu, 21 May 2026 18:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>License, Stream:, ‘007, First, Light’, Coming, GeForce, NOW, With, Ultimate, Bundle</media:keywords>
</item>

<item>
<title>Build AI&amp;powered dashboard automation agents with NLP on Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/11712</link>
<guid>https://news.jatlink.uk/11712</guid>
<description><![CDATA[ This solution combines the power of Amazon Bedrock AgentCore, Strands Agents, and Amazon Quick transforms to deliver a secure, scalable, and intelligent system for building and operating AI agents while transforming data into actionable business insights. ]]></description>
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<pubDate>Thu, 21 May 2026 17:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, AI-powered, dashboard, automation, agents, with, NLP, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Announcing OpenAI&amp;compatible API support for Amazon SageMaker AI endpoints</title>
<link>https://news.jatlink.uk/11680</link>
<guid>https://news.jatlink.uk/11680</guid>
<description><![CDATA[ Today, Amazon SageMaker AI introduces OpenAI-compatible API support for real-time inference endpoints. If you use the OpenAI SDK, LangChain, or Strands Agents, you can now invoke models on SageMaker AI by changing only your endpoint URL. You don’t need a custom client, a SigV4 wrapper, or code rewrites. Overview With this launch, SageMaker AI endpoints […] ]]></description>
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<pubDate>Thu, 21 May 2026 05:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Announcing, OpenAI-compatible, API, support, for, Amazon, SageMaker, endpoints</media:keywords>
</item>

<item>
<title>How Ramp engineers accelerate code review with Codex</title>
<link>https://news.jatlink.uk/11665</link>
<guid>https://news.jatlink.uk/11665</guid>
<description><![CDATA[ How Ramp engineers use Codex with GPT-5.5 to review code and ship improvements, allowing them to get substantive feedback in minutes instead of hours. ]]></description>
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<pubDate>Thu, 21 May 2026 00:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Ramp, engineers, accelerate, code, review, with, Codex</media:keywords>
</item>

<item>
<title>NVIDIA Announces Financial Results for First Quarter Fiscal 2027</title>
<link>https://news.jatlink.uk/11652</link>
<guid>https://news.jatlink.uk/11652</guid>
<description><![CDATA[ NVIDIA (NASDAQ: NVDA) today reported record revenue for the first quarter ended April 26, 2026, of $81.6 billion, up 20% from the previous quarter and up 85% from a year ago. ]]></description>
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<pubDate>Wed, 20 May 2026 22:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Announces, Financial, Results, for, First, Quarter, Fiscal, 2027</media:keywords>
</item>

<item>
<title>Build real&amp;time voice applications with Amazon SageMaker AI and vLLM</title>
<link>https://news.jatlink.uk/11651</link>
<guid>https://news.jatlink.uk/11651</guid>
<description><![CDATA[ Voice agents, live captioning, contact center analytics, and accessibility tools all depend on real-time speech-to-text, where your application streams audio in and receives transcription back simultaneously over a single persistent connection. Traditional request-response inference falls short here because transcription cannot begin until the entire audio recording has been received, adding latency that breaks the real-time […] ]]></description>
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<pubDate>Wed, 20 May 2026 21:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, real-time, voice, applications, with, Amazon, SageMaker, and, vLLM</media:keywords>
</item>

<item>
<title>Multimodal evaluators: MLLM&amp;as&amp;a&amp;judge for image&amp;to&amp;text tasks in Strands Evals</title>
<link>https://news.jatlink.uk/11650</link>
<guid>https://news.jatlink.uk/11650</guid>
<description><![CDATA[ If you’re building visual shopping, image or document understanding, or chart analysis, you need a way to verify whether your model’s response is actually grounded in the source image. A text-only evaluator cannot tell you whether a caption faithfully describes an image, whether an extracted invoice total matches the document, or whether a screen summary […] ]]></description>
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<pubDate>Wed, 20 May 2026 21:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Multimodal, evaluators:, MLLM-as-a-judge, for, image-to-text, tasks, Strands, Evals</media:keywords>
</item>

<item>
<title>An OpenAI model has disproved a central conjecture in discrete geometry</title>
<link>https://news.jatlink.uk/11649</link>
<guid>https://news.jatlink.uk/11649</guid>
<description><![CDATA[ An OpenAI model solved the 80-year-old unit distance problem, disproving a major conjecture in discrete geometry and marking a milestone in AI-driven mathematics. ]]></description>
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<pubDate>Wed, 20 May 2026 21:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, model, has, disproved, central, conjecture, discrete, geometry</media:keywords>
</item>

<item>
<title>The next phase of OpenAI’s Education for Countries</title>
<link>https://news.jatlink.uk/11624</link>
<guid>https://news.jatlink.uk/11624</guid>
<description><![CDATA[ OpenAI advances Education for Countries, expanding AI adoption in schools with new partnerships, teacher training, and tools to improve global learning outcomes. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 20 May 2026 12:00:29 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>The, next, phase, OpenAI’s, Education, for, Countries</media:keywords>
</item>

<item>
<title>Introducing OpenAI for Singapore</title>
<link>https://news.jatlink.uk/11593</link>
<guid>https://news.jatlink.uk/11593</guid>
<description><![CDATA[ OpenAI for Singapore launches a multi-year AI partnership to expand deployment, build local talent, and support businesses and public services with AI. ]]></description>
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<pubDate>Wed, 20 May 2026 05:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, OpenAI, for, Singapore</media:keywords>
</item>

<item>
<title>NVIDIA and Google Cloud Empower the Next Wave of AI Builders</title>
<link>https://news.jatlink.uk/11565</link>
<guid>https://news.jatlink.uk/11565</guid>
<description><![CDATA[ At this year’s Google I/O conference, NVIDIA and Google Cloud are accelerating the work of more than 100,000 developers in the companies’ joint developer community, which provides curated learning paths, hands-on labs and events that help them build using the full-stack NVIDIA AI platform on Google Cloud.  Launched at Google I/O last year, the community […] ]]></description>
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<pubDate>Tue, 19 May 2026 22:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, Google, Cloud, Empower, the, Next, Wave, Builders</media:keywords>
</item>

<item>
<title>Scalable voice agent design with Amazon Nova Sonic: multi&amp;agent, tools, and session segmentation</title>
<link>https://news.jatlink.uk/11561</link>
<guid>https://news.jatlink.uk/11561</guid>
<description><![CDATA[ In this post, you’ll learn how to use Amazon Nova Sonic, Amazon Bedrock AgentCore, and Strands BidiAgent to build scalable, maintainable voice agents that handle these challenges efficiently, resulting in more responsive and intelligent customer interactions. We’ll explore three popular architectural patterns for voice agents, highlighting their trade-offs and best practices for minimizing latency. ]]></description>
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<pubDate>Tue, 19 May 2026 21:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Scalable, voice, agent, design, with, Amazon, Nova, Sonic:, multi-agent, tools, and, session, segmentation</media:keywords>
</item>

<item>
<title>Extending conversational memory in Kiro CLI using Amazon Bedrock AgentCore Memory</title>
<link>https://news.jatlink.uk/11562</link>
<guid>https://news.jatlink.uk/11562</guid>
<description><![CDATA[ In this post, we demonstrate how you can extend the conversational memory of Kiro CLI by implementing a custom Model Context Protocol (MCP) server that integrates with Amazon Bedrock AgentCore Memory. You can use Kiro CLI to interact with AI agents of Kiro directly from your terminal. Amazon Bedrock AgentCore Memory is a fully managed service that allows AI agents to retain information from past interactions, creating more intelligent and context-aware conversations. By implementing a custom MCP server, you can provide Kiro CLI with tools to store and retrieve conversation context, monitor memory usage, and manage the underlying Bedrock Agent Core Memory infrastructure. ]]></description>
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<pubDate>Tue, 19 May 2026 21:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Extending, conversational, memory, Kiro, CLI, using, Amazon, Bedrock, AgentCore, Memory</media:keywords>
</item>

<item>
<title>Accelerate ML feature pipelines with new capabilities in Amazon SageMaker Feature Store</title>
<link>https://news.jatlink.uk/11563</link>
<guid>https://news.jatlink.uk/11563</guid>
<description><![CDATA[ Today, we’re announcing three new capabilities available in SageMaker Python SDK v3.8.0. In this post, we walk through each capability with code examples you can use to get started. For complete end-to-end walkthroughs, see the accompanying notebooks for Lake Formation governance and Iceberg table properties in the SageMaker Python SDK repository. ]]></description>
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<pubDate>Tue, 19 May 2026 21:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Accelerate, feature, pipelines, with, new, capabilities, Amazon, SageMaker, Feature, Store</media:keywords>
</item>

<item>
<title>Implementing programmatic tool calling on Amazon Bedrock</title>
<link>https://news.jatlink.uk/11564</link>
<guid>https://news.jatlink.uk/11564</guid>
<description><![CDATA[ In this post, we show three ways to implement Programmatic tool calling (PTC) on Amazon Bedrock: a self-hosted Docker sandbox on ECS for maximum control, a managed solution using Amazon Bedrock AgentCore Code Interpreter, and an Anthropic SDK-compatible path through a proxy for teams that prefer that developer experience. ]]></description>
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<pubDate>Tue, 19 May 2026 21:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Implementing, programmatic, tool, calling, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Advancing content provenance for a safer, more transparent AI ecosystem</title>
<link>https://news.jatlink.uk/11560</link>
<guid>https://news.jatlink.uk/11560</guid>
<description><![CDATA[ OpenAI advances AI content provenance with Content Credentials, SynthID, and a verification tool to help people identify and trust AI-generated media. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 19 May 2026 20:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Advancing, content, provenance, for, safer, more, transparent, ecosystem</media:keywords>
</item>

<item>
<title>NVIDIA CEO Jensen Huang at Dell Technologies World: ‘Demand Is Going Parabolic, Utterly Parabolic’</title>
<link>https://news.jatlink.uk/11512</link>
<guid>https://news.jatlink.uk/11512</guid>
<description><![CDATA[ Agentic AI inference at one-tenth the cost per token with NVIDIA Vera Rubin NVL72. Agent sandboxes run 50% faster on NVIDIA Vera than traditional CPUs — while enterprise data queries are up to 3x faster with the Vera CPU. And 5,000 enterprises like Lilly, Samsung, and Honeywell are running AI workloads on Dell AI Factories […] ]]></description>
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<pubDate>Tue, 19 May 2026 04:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, CEO, Jensen, Huang, Dell, Technologies, World:, ‘Demand, Going, Parabolic, Utterly, Parabolic’</media:keywords>
</item>

<item>
<title>NVIDIA CEO Jensen Huang at Dell Technologies World: “Demand Is Going Parabolic, Utterly Parabolic”</title>
<link>https://news.jatlink.uk/11498</link>
<guid>https://news.jatlink.uk/11498</guid>
<description><![CDATA[ Agentic AI inference at one-tenth the cost per token with NVIDIA Vera Rubin NVL72. Agent sandboxes run 50% faster on NVIDIA Vera than traditional CPUs — while enterprise data queries are up to 3x faster with the Vera CPU. And 5,000 enterprises like Lilly, Samsung, and Honeywell are running AI workloads on Dell AI Factories […] ]]></description>
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<pubDate>Tue, 19 May 2026 00:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, CEO, Jensen, Huang, Dell, Technologies, World:, “Demand, Going, Parabolic, Utterly, Parabolic”</media:keywords>
</item>

<item>
<title>Vera Arrives: NVIDIA’s First CPU Built for Agents Lands at Top AI Labs</title>
<link>https://news.jatlink.uk/11499</link>
<guid>https://news.jatlink.uk/11499</guid>
<description><![CDATA[ The first NVIDIA Vera CPUs arrived at three of the world&#039;s leading AI labs on Friday — Anthropic in San Francisco, OpenAI in Mission Bay, SpaceXAI in Palo Alto — followed by a delivery to Oracle Cloud Infrastructure in Santa Clara on Monday. NVIDIA Vice President of Hyperscale and High-Performance Computing Ian Buck hand-delivered them. ]]></description>
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<pubDate>Tue, 19 May 2026 00:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Vera, Arrives:, NVIDIA’s, First, CPU, Built, for, Agents, Lands, Top, Labs</media:keywords>
</item>

<item>
<title>Prompting Amazon Nova 2 for content moderation</title>
<link>https://news.jatlink.uk/11497</link>
<guid>https://news.jatlink.uk/11497</guid>
<description><![CDATA[ In this post, you learn how to prompt Amazon Nova 2 Lite for content moderation using structured and free-form approaches, grounded in the MLCommons AILuminate Assessment Standard. The prompting techniques use the AILuminate taxonomy as an example, but they work equally well with your own custom moderation policy. You can swap in your own category definitions and the prompt structure stays the same. We also benchmark the content moderation capabilities of Amazon Nova 2 Lite against several foundation models (FMs) on three public datasets. ]]></description>
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<pubDate>Mon, 18 May 2026 23:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Prompting, Amazon, Nova, for, content, moderation</media:keywords>
</item>

<item>
<title>OpenAI and Dell partner to bring Codex to hybrid and on&amp;premise enterprise environments</title>
<link>https://news.jatlink.uk/11482</link>
<guid>https://news.jatlink.uk/11482</guid>
<description><![CDATA[ OpenAI and Dell partner to bring Codex to hybrid and on-premise environments, helping enterprises deploy AI coding agents securely across data and workflows. ]]></description>
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<pubDate>Mon, 18 May 2026 19:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, and, Dell, partner, bring, Codex, hybrid, and, on-premise, enterprise, environments</media:keywords>
</item>

<item>
<title>Aderant transforms cloud operations with Amazon Quick</title>
<link>https://news.jatlink.uk/11483</link>
<guid>https://news.jatlink.uk/11483</guid>
<description><![CDATA[ In this post, we share how Aderant used the AI-powered capabilities of Amazon Quick to unify search across six vendor systems and automate documentation workflows, achieving 90 percent faster search times and 75 percent documentation acceleration, and how others can apply these approaches to their operations. ]]></description>
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<pubDate>Mon, 18 May 2026 19:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Aderant, transforms, cloud, operations, with, Amazon, Quick</media:keywords>
</item>

<item>
<title>Integrate Atlassian Confluence Cloud with Amazon Quick</title>
<link>https://news.jatlink.uk/11484</link>
<guid>https://news.jatlink.uk/11484</guid>
<description><![CDATA[ In this post, you will learn how to set up the Confluence Cloud integration with Quick. This includes creating a knowledge base for semantic search, setting up Actions to query and manage Confluence pages, and organizing resources in Quick Spaces. Quick integrates with your current enterprise technology stack, from internal knowledge repositories and corporate intranets to business-critical applications and AWS data services. ]]></description>
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<pubDate>Mon, 18 May 2026 19:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Integrate, Atlassian, Confluence, Cloud, with, Amazon, Quick</media:keywords>
</item>

<item>
<title>Build custom code&amp;based evaluators in Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/11485</link>
<guid>https://news.jatlink.uk/11485</guid>
<description><![CDATA[ In this post, you will implement four Lambda-based custom code evaluators for a financial market-intelligence agent, register each with AgentCore, and run them in on-demand and online modes. You will also see how to combine custom code-based evaluators with built-in evaluators and how to call other AWS services for grounded fact-checking, PII detection, and real-time alerting. ]]></description>
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<pubDate>Mon, 18 May 2026 19:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, custom, code-based, evaluators, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>OpenAI and Malta partner to bring ChatGPT Plus to all citizens</title>
<link>https://news.jatlink.uk/11351</link>
<guid>https://news.jatlink.uk/11351</guid>
<description><![CDATA[ OpenAI and Malta partner to expand AI access, offering ChatGPT Plus and training to help citizens build practical AI skills and use AI responsibly. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Sat, 16 May 2026 14:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, and, Malta, partner, bring, ChatGPT, Plus, all, citizens</media:keywords>
</item>

<item>
<title>How data science teams use Codex</title>
<link>https://news.jatlink.uk/11342</link>
<guid>https://news.jatlink.uk/11342</guid>
<description><![CDATA[ See how data science teams can use Codex to build root-cause briefs, impact readouts, KPI memos, scoped analyses, and dashboard specs from real work inputs. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Sat, 16 May 2026 10:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, data, science, teams, use, Codex</media:keywords>
</item>

<item>
<title>How business operations teams use Codex</title>
<link>https://news.jatlink.uk/11343</link>
<guid>https://news.jatlink.uk/11343</guid>
<description><![CDATA[ See how business operations teams can use Codex to create initiative briefs, strategy updates, leadership decision packets, progress updates, and more from real work inputs. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Sat, 16 May 2026 10:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, business, operations, teams, use, Codex</media:keywords>
</item>

<item>
<title>How sales teams use Codex</title>
<link>https://news.jatlink.uk/11344</link>
<guid>https://news.jatlink.uk/11344</guid>
<description><![CDATA[ See how sales teams can use Codex to create pipeline briefs, meeting prep packets, forecast reviews, account plans, and stalled-deal diagnoses from real work inputs. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Sat, 16 May 2026 10:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, sales, teams, use, Codex</media:keywords>
</item>

<item>
<title>Databricks brings GPT&amp;5.5 to enterprise agent workflows</title>
<link>https://news.jatlink.uk/11325</link>
<guid>https://news.jatlink.uk/11325</guid>
<description><![CDATA[ Databricks uses GPT-5.5 for enterprise agent workflows after the model set a new state of the art on the OfficeQA Pro benchmark. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Sat, 16 May 2026 02:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Databricks, brings, GPT-5.5, enterprise, agent, workflows</media:keywords>
</item>

<item>
<title>Restrict access to sensitive documents in your Amazon Quick knowledge bases for Amazon S3</title>
<link>https://news.jatlink.uk/11296</link>
<guid>https://news.jatlink.uk/11296</guid>
<description><![CDATA[ In this post, we walk through how to configure document-level ACLs for your S3 knowledge base in Amazon Quick. You will learn how to set up and verify an ACL configuration that enforces document-level permissions across chat and automated workflows. ]]></description>
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<pubDate>Fri, 15 May 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Restrict, access, sensitive, documents, your, Amazon, Quick, knowledge, bases, for, Amazon</media:keywords>
</item>

<item>
<title>A new personal finance experience in ChatGPT</title>
<link>https://news.jatlink.uk/11295</link>
<guid>https://news.jatlink.uk/11295</guid>
<description><![CDATA[ Preview a new personal finance experience in ChatGPT for Pro users in the U.S. Securely connect your financial accounts and get AI-powered insights and guidance grounded in your financial context, goals, and priorities. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 15 May 2026 18:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>new, personal, finance, experience, ChatGPT</media:keywords>
</item>

<item>
<title>Sea&amp;apos;s View on the Future of Agentic Software Development with Codex</title>
<link>https://news.jatlink.uk/11256</link>
<guid>https://news.jatlink.uk/11256</guid>
<description><![CDATA[ Sea Limited&#039;s CPO explains why the company is deploying Codex across engineering teams to accelerate AI-native software development in Asia. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 15 May 2026 06:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Seas, View, the, Future, Agentic, Software, Development, with, Codex</media:keywords>
</item>

<item>
<title>Work with Codex from anywhere</title>
<link>https://news.jatlink.uk/11230</link>
<guid>https://news.jatlink.uk/11230</guid>
<description><![CDATA[ Use Codex anywhere with the ChatGPT mobile app. Monitor, steer, and approve coding tasks in real time across devices and remote environments. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 14 May 2026 22:00:16 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Work, with, Codex, from, anywhere</media:keywords>
</item>

<item>
<title>From siloed data to unified insights: Cross&amp;account Athena Access for Amazon Quick</title>
<link>https://news.jatlink.uk/11214</link>
<guid>https://news.jatlink.uk/11214</guid>
<description><![CDATA[ Today, we&#039;re announcing cross-account Athena access for Amazon Quick. With this feature, customers can query Athena data in other AWS accounts using AWS Identity and Access Management (IAM) role chaining, with query costs billed to the account where the data resides. ]]></description>
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<pubDate>Thu, 14 May 2026 19:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>From, siloed, data, unified, insights:, Cross-account, Athena, Access, for, Amazon, Quick</media:keywords>
</item>

<item>
<title>Control where your AI agents can browse with Chrome enterprise policies on Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/11215</link>
<guid>https://news.jatlink.uk/11215</guid>
<description><![CDATA[ In this post, you will configure Chrome enterprise policies to restrict a browser agent to a specific website, observe the policy enforcement through session recording, and demonstrate custom root CA certificates using a public test site. The walkthrough produces a working solution that researches Amazon Bedrock AgentCore documentation while operating under enterprise browser restrictions. ]]></description>
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<pubDate>Thu, 14 May 2026 19:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Control, where, your, agents, can, browse, with, Chrome, enterprise, policies, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Improve bot accuracy with Amazon Lex Assisted NLU</title>
<link>https://news.jatlink.uk/11212</link>
<guid>https://news.jatlink.uk/11212</guid>
<description><![CDATA[ In this post, you will learn how to implement Assisted NLU effectively. You will learn how to improve your bot design with effective intent and slot descriptions, validate your implementation using Test Workbench, and plan your transition from traditional NLU to Assisted NLU for both new and existing bots. ]]></description>
<enclosure url="http://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2026/05/14/ml-20312.png" length="49398" type="image/jpeg"/>
<pubDate>Thu, 14 May 2026 19:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Improve, bot, accuracy, with, Amazon, Lex, Assisted, NLU</media:keywords>
</item>

<item>
<title>Real&amp;time voice agents with Stream Vision Agents and Amazon Nova 2 Sonic</title>
<link>https://news.jatlink.uk/11213</link>
<guid>https://news.jatlink.uk/11213</guid>
<description><![CDATA[ In this post, you learn how to combine Stream&#039;s Vision Agents open-source framework with Amazon Bedrock and Amazon Nova 2 Sonic to build real-time voice agents that can be production-ready in minutes. You&#039;ll learn how the integration works under the hood, walk through code examples, and explore advanced capabilities like function calling, automatic reconnection, and multilingual voice support. ]]></description>
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<pubDate>Thu, 14 May 2026 19:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Real-time, voice, agents, with, Stream, Vision, Agents, and, Amazon, Nova, Sonic</media:keywords>
</item>

<item>
<title>Helping ChatGPT better recognize context in sensitive conversations</title>
<link>https://news.jatlink.uk/11211</link>
<guid>https://news.jatlink.uk/11211</guid>
<description><![CDATA[ Learn how new ChatGPT safety updates improve context awareness in sensitive conversations, helping detect risk over time and respond more safely. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 14 May 2026 19:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Helping, ChatGPT, better, recognize, context, sensitive, conversations</media:keywords>
</item>

<item>
<title>Sea You in the Cloud: ‘Subnautica 2’ Early Access Dives Onto GeForce NOW</title>
<link>https://news.jatlink.uk/11195</link>
<guid>https://news.jatlink.uk/11195</guid>
<description><![CDATA[ Dive masks on — Subnautica 2 is making a splash on GeForce NOW day-and-date with launch, so members can plunge into the title’s brand-new alien ocean from almost any device. It leads 11 new games joining the cloud this week. A limited-time HITMAN World of Assassination reward event brings signature tools of the trade — […] ]]></description>
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<pubDate>Thu, 14 May 2026 16:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Sea, You, the, Cloud:, ‘Subnautica, 2’, Early, Access, Dives, Onto, GeForce, NOW</media:keywords>
</item>

<item>
<title>Our response to the TanStack npm supply chain attack</title>
<link>https://news.jatlink.uk/11166</link>
<guid>https://news.jatlink.uk/11166</guid>
<description><![CDATA[ OpenAI details its response to the TanStack “Mini Shai-Hulud” supply chain attack, outlines protections taken to secure systems and signing certificates, and explains why macOS users must update OpenAI apps by June 12, 2026. Learn what happened, what was affected, and how OpenAI is strengthening defenses against evolving software supply chain threats. ]]></description>
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<pubDate>Thu, 14 May 2026 06:00:16 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Our, response, the, TanStack, npm, supply, chain, attack</media:keywords>
</item>

<item>
<title>Build financial document processing with Pulse AI and Amazon Bedrock</title>
<link>https://news.jatlink.uk/11138</link>
<guid>https://news.jatlink.uk/11138</guid>
<description><![CDATA[ This post demonstrates how to build a documentation extraction and model fine-tuning pipeline that addresses challenges when processing the complex financial documents. By combining Pulse AI&#039;s advanced document understanding capabilities with the powerful AI services of Amazon Bedrock, organizations can achieve enterprise-grade accuracy and extract contextually relevant financial insights at scale. ]]></description>
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<pubDate>Wed, 13 May 2026 23:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, financial, document, processing, with, Pulse, and, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Building a safe, effective sandbox to enable Codex on Windows</title>
<link>https://news.jatlink.uk/11137</link>
<guid>https://news.jatlink.uk/11137</guid>
<description><![CDATA[ Learn how OpenAI built a secure sandbox for Codex on Windows, enabling safe, efficient coding agents with controlled file access and network restrictions. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 13 May 2026 22:00:33 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, safe, effective, sandbox, enable, Codex, Windows</media:keywords>
</item>

<item>
<title>Fine&amp;tune LLM with Databricks Unity Catalog and Amazon SageMaker AI</title>
<link>https://news.jatlink.uk/11120</link>
<guid>https://news.jatlink.uk/11120</guid>
<description><![CDATA[ In this post, we demonstrate how to build a secure, complete LLM fine-tuning workflow that integrates Unity Catalog with Amazon SageMaker AI using Amazon EMR Serverless for preprocessing. The solution shows how to securely access governed data, maintain lineage across services, fine-tune the Ministral-3-3B-Instruct model, and register trained artifacts back into Unity Catalog. With this approach, you can continue using your existing services while preserving central governance, tracking data lineage without compromising security or compliance requirements. ]]></description>
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<pubDate>Wed, 13 May 2026 19:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Fine-tune, LLM, with, Databricks, Unity, Catalog, and, Amazon, SageMaker</media:keywords>
</item>

<item>
<title>Build real&amp;time voice streaming applications with Amazon Nova Sonic and WebRTC</title>
<link>https://news.jatlink.uk/11118</link>
<guid>https://news.jatlink.uk/11118</guid>
<description><![CDATA[ Building end-to-end live streaming applications with real-time voice interaction presents several challenges. This post introduces a solution based on Amazon Nova 2 Sonic (Nova Sonic) and Amazon Kinesis Video Streams WebRTC (WebRTC) that addresses these challenges. In this post, we’ll walk through the solution architecture, implementation patterns, and two real-world scenario examples. ]]></description>
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<pubDate>Wed, 13 May 2026 19:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, real-time, voice, streaming, applications, with, Amazon, Nova, Sonic, and, WebRTC</media:keywords>
</item>

<item>
<title>Securing AI agents: How AWS and Cisco AI Defense scale MCP and A2A deployments</title>
<link>https://news.jatlink.uk/11119</link>
<guid>https://news.jatlink.uk/11119</guid>
<description><![CDATA[ The Cisco and AWS partnership addresses three challenges enterprises face when scaling AI agents: visibility gaps, security bottlenecks, and compliance risks. In this post, we explore how you can overcome AI security challenges through automated scanning and unified governance. ]]></description>
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<pubDate>Wed, 13 May 2026 19:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Securing, agents:, How, AWS, and, Cisco, Defense, scale, MCP, and, A2A, deployments</media:keywords>
</item>

<item>
<title>NVIDIA, Ineffable Intelligence Team Up to Build the Future of Reinforcement Learning Infrastructure</title>
<link>https://news.jatlink.uk/11104</link>
<guid>https://news.jatlink.uk/11104</guid>
<description><![CDATA[ Reinforcement-learning agents — AI systems that learn by trial and error — can convert computation into new knowledge. That’s the focus of a new engineering-level collaboration between NVIDIA and Ineffable Intelligence, the London-based AI lab founded by AlphaGo architect David Silver in the wake of Ineffable’s emergence from stealth last week. “The next frontier of […] ]]></description>
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<pubDate>Wed, 13 May 2026 16:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Ineffable, Intelligence, Team, Build, the, Future, Reinforcement, Learning, Infrastructure</media:keywords>
</item>

<item>
<title>Hermes Unlocks Self&amp;Improving AI Agents, Powered by NVIDIA RTX PCs and DGX Spark</title>
<link>https://news.jatlink.uk/11105</link>
<guid>https://news.jatlink.uk/11105</guid>
<description><![CDATA[ Agentic AI is changing the way users get work done. Following the success of OpenClaw, the community is embracing new open source agentic frameworks. The latest is Hermes Agent, which crossed 140,000 GitHub stars in under three months. ]]></description>
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<pubDate>Wed, 13 May 2026 16:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Hermes, Unlocks, Self-Improving, Agents, Powered, NVIDIA, RTX, PCs, and, DGX, Spark</media:keywords>
</item>

<item>
<title>AutoScout24 scales engineering with AI&amp;powered workflows</title>
<link>https://news.jatlink.uk/11076</link>
<guid>https://news.jatlink.uk/11076</guid>
<description><![CDATA[ Learn how AutoScout24 Group uses Codex and ChatGPT to speed development cycles, improve code quality, and expand AI adoption. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 13 May 2026 02:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>AutoScout24, scales, engineering, with, AI-powered, workflows</media:keywords>
</item>

<item>
<title>How finance teams use Codex</title>
<link>https://news.jatlink.uk/11062</link>
<guid>https://news.jatlink.uk/11062</guid>
<description><![CDATA[ See how finance teams can use Codex to build MBRs, reporting packs, variance bridges, model checks, and planning scenarios from real work inputs. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 12 May 2026 23:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, finance, teams, use, Codex</media:keywords>
</item>

<item>
<title>How NVIDIA engineers and researchers build with Codex</title>
<link>https://news.jatlink.uk/11063</link>
<guid>https://news.jatlink.uk/11063</guid>
<description><![CDATA[ Teams use Codex with GPT-5.5 to ship production systems and turn research ideas into runnable experiments. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 12 May 2026 23:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, NVIDIA, engineers, and, researchers, build, with, Codex</media:keywords>
</item>

<item>
<title>What Parameter Golf taught us about AI&amp;assisted research</title>
<link>https://news.jatlink.uk/11061</link>
<guid>https://news.jatlink.uk/11061</guid>
<description><![CDATA[ Parameter Golf brought together 1,000+ participants and 2,000+ submissions to explore AI-assisted machine learning research, coding agents, quantization, and novel model design under strict constraints. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 12 May 2026 22:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>What, Parameter, Golf, taught, about, AI-assisted, research</media:keywords>
</item>

<item>
<title>How Amazon Finance streamlines regulatory inquiries by using generative AI on AWS</title>
<link>https://news.jatlink.uk/11040</link>
<guid>https://news.jatlink.uk/11040</guid>
<description><![CDATA[ In this post, we demonstrate how Amazon FinTech teams are using Amazon Bedrock and other AWS services to build a scalable AI application to transform how regulatory inquiries are handled. Each team using this solution creates and maintains its own dedicated knowledge base, populated with that team&#039;s specific documents and reference materials. ]]></description>
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<pubDate>Tue, 12 May 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Amazon, Finance, streamlines, regulatory, inquiries, using, generative, AWS</media:keywords>
</item>

<item>
<title>Automate schema generation for intelligent document processing</title>
<link>https://news.jatlink.uk/11041</link>
<guid>https://news.jatlink.uk/11041</guid>
<description><![CDATA[ In this post, we&#039;ll show you how our multi-document discovery feature solves this problem. It serves as an automated pre-processing step, analyzing unknown documents, clustering them by type, and generating schemas ready for the IDP Accelerator. You&#039;ll learn how the new capability uses visual embeddings for automatic clustering and agents for schema generation. We&#039;ll also walk you through running the solution on your own document collections. ]]></description>
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<pubDate>Tue, 12 May 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Automate, schema, generation, for, intelligent, document, processing</media:keywords>
</item>

<item>
<title>Navigating EU AI Act requirements for LLM fine&amp;tuning on Amazon SageMaker AI</title>
<link>https://news.jatlink.uk/11042</link>
<guid>https://news.jatlink.uk/11042</guid>
<description><![CDATA[ In this post, we show you how to set up FLOPs tracking during LLM fine-tuning using the open source Fine-Tuning FLOPs Meter toolkit on Amazon SageMaker AI. You learn how to determine your compliance status with a single configuration flag and generate audit-ready documentation. ]]></description>
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<pubDate>Tue, 12 May 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Navigating, Act, requirements, for, LLM, fine-tuning, Amazon, SageMaker</media:keywords>
</item>

<item>
<title>NVIDIA and SAP Bring Trust to Specialized Agents</title>
<link>https://news.jatlink.uk/11026</link>
<guid>https://news.jatlink.uk/11026</guid>
<description><![CDATA[ Announced today at SAP Sapphire — where NVIDIA founder and CEO Jensen Huang joined  SAP CEO Christian Klein’s keynote by video — SAP and NVIDIA’s expanded collaboration helps enterprises run specialized agents with security and governance controls.  ]]></description>
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<pubDate>Tue, 12 May 2026 16:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, SAP, Bring, Trust, Specialized, Agents</media:keywords>
</item>

<item>
<title>How ChatGPT adoption broadened in early 2026</title>
<link>https://news.jatlink.uk/10991</link>
<guid>https://news.jatlink.uk/10991</guid>
<description><![CDATA[ ChatGPT adoption surged in Q1 2026, with fastest growth among users over 35 and more balanced gender usage, signaling broader mainstream AI adoption. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 12 May 2026 02:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, ChatGPT, adoption, broadened, early, 2026</media:keywords>
</item>

<item>
<title>Building web search&amp;enabled agents with Strands and Exa</title>
<link>https://news.jatlink.uk/10978</link>
<guid>https://news.jatlink.uk/10978</guid>
<description><![CDATA[ In this post, you will learn how to set up the Exa integration in Strands Agents, understand the two core tools it exposes, and walk through real-world use cases that show how agents use web search to complete multi-step tasks. ]]></description>
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<pubDate>Mon, 11 May 2026 23:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, web, search-enabled, agents, with, Strands, and, Exa</media:keywords>
</item>

<item>
<title>Introducing Claude Platform on AWS: Anthropic’s native platform, through your AWS account</title>
<link>https://news.jatlink.uk/10979</link>
<guid>https://news.jatlink.uk/10979</guid>
<description><![CDATA[ Today, we&#039;re excited to announce the general availability of Claude Platform on AWS. Claude Platform on AWS is a new service that gives customers direct access to Anthropic&#039;s native Claude Platform experience through their AWS account, with no separate credentials, contracts, or billing relationships required. AWS is the first cloud provider to offer access to the native Claude Platform experience. In this post, we explore how Claude Platform on AWS works and how you can start using it today. ]]></description>
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<pubDate>Mon, 11 May 2026 23:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, Claude, Platform, AWS:, Anthropic’s, native, platform, through, your, AWS, account</media:keywords>
</item>

<item>
<title>Manufacturing intelligence with Amazon Nova Multimodal Embeddings</title>
<link>https://news.jatlink.uk/10961</link>
<guid>https://news.jatlink.uk/10961</guid>
<description><![CDATA[ In this post, we build a multimodal retrieval system for aerospace manufacturing documents using Amazon Nova Multimodal Embeddings on Amazon Bedrock and Amazon S3 Vectors. We evaluate the system on 26 manufacturing queries and compare generation quality between a text-only pipeline and the multimodal pipeline. ]]></description>
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<pubDate>Mon, 11 May 2026 19:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Manufacturing, intelligence, with, Amazon, Nova, Multimodal, Embeddings</media:keywords>
</item>

<item>
<title>How Miro uses Amazon Bedrock to boost software bug routing accuracy and improve time&amp;to&amp;resolution from days to hours</title>
<link>https://news.jatlink.uk/10962</link>
<guid>https://news.jatlink.uk/10962</guid>
<description><![CDATA[ In this post, we dive deep into the architecture and techniques we used to improve Miro’s bug routing, achieving six times fewer team reassignments and five times shorter time-to-resolution powered by Amazon Bedrock. ]]></description>
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<pubDate>Mon, 11 May 2026 19:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Miro, uses, Amazon, Bedrock, boost, software, bug, routing, accuracy, and, improve, time-to-resolution, from, days, hours</media:keywords>
</item>

<item>
<title>Amazon Quick: Accelerating the path from enterprise data to AI&amp;powered decisions</title>
<link>https://news.jatlink.uk/10963</link>
<guid>https://news.jatlink.uk/10963</guid>
<description><![CDATA[ Amazon Quick helps turn your large enterprise data into fast and accurate AI-powered decisions. In this post, you will learn about five new capabilities of Amazon Quick that accelerate how data professionals deliver trusted AI-powered insights at enterprise scale. ]]></description>
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<pubDate>Mon, 11 May 2026 19:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Amazon, Quick:, Accelerating, the, path, from, enterprise, data, AI-powered, decisions</media:keywords>
</item>

<item>
<title>OpenAI launches DeployCo to help businesses build around intelligence</title>
<link>https://news.jatlink.uk/10947</link>
<guid>https://news.jatlink.uk/10947</guid>
<description><![CDATA[ OpenAI launches DeployCo, a new enterprise deployment company built to help organizations bring frontier AI into production and turn it into measurable business impact. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Mon, 11 May 2026 15:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, launches, DeployCo, help, businesses, build, around, intelligence</media:keywords>
</item>

<item>
<title>How enterprises are scaling AI</title>
<link>https://news.jatlink.uk/10919</link>
<guid>https://news.jatlink.uk/10919</guid>
<description><![CDATA[ How enterprises scale AI: from early experiments to compounding impact through trust, governance, workflow design, and quality at scale. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Mon, 11 May 2026 07:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, enterprises, are, scaling</media:keywords>
</item>

<item>
<title>OpenAI Campus Network: Student club interest form</title>
<link>https://news.jatlink.uk/10920</link>
<guid>https://news.jatlink.uk/10920</guid>
<description><![CDATA[ Join the OpenAI Campus Network—connect student clubs worldwide, access AI tools, host events, and build an AI-powered campus community. ]]></description>
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<pubDate>Mon, 11 May 2026 07:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, Campus, Network:, Student, club, interest, form</media:keywords>
</item>

<item>
<title>‘Your Career Starts at the Beginning of the AI Revolution,’ NVIDIA CEO Tells Graduates</title>
<link>https://news.jatlink.uk/10900</link>
<guid>https://news.jatlink.uk/10900</guid>
<description><![CDATA[ Delivering the commencement address to Carnegie Mellon University’s Class of 2026, NVIDIA founder and CEO Jensen Huang said, ‘I cannot imagine a more exciting time to begin your life’s work.’ “You are entering the world at an extraordinary moment,” NVIDIA founder and CEO Jensen Huang told graduates as he delivered the keynote address at Carnegie […] ]]></description>
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<pubDate>Mon, 11 May 2026 00:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>‘Your, Career, Starts, the, Beginning, the, Revolution, ’, NVIDIA, CEO, Tells, Graduates</media:keywords>
</item>

<item>
<title>NVIDIA Names Suzanne Nora Johnson to Board of Directors</title>
<link>https://news.jatlink.uk/10772</link>
<guid>https://news.jatlink.uk/10772</guid>
<description><![CDATA[ NVIDIA today announced that it has named to its board of directors Suzanne Nora Johnson, effective July 13, 2026. ]]></description>
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<pubDate>Sat, 09 May 2026 00:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Names, Suzanne, Nora, Johnson, Board, Directors</media:keywords>
</item>

<item>
<title>Running Codex safely at OpenAI</title>
<link>https://news.jatlink.uk/10771</link>
<guid>https://news.jatlink.uk/10771</guid>
<description><![CDATA[ How OpenAI runs Codex securely with sandboxing, approvals, network policies, and agent-native telemetry to support safe and compliant coding agent adoption. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 08 May 2026 22:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Running, Codex, safely, OpenAI</media:keywords>
</item>

<item>
<title>How ChatGPT learns about the world while protecting privacy</title>
<link>https://news.jatlink.uk/10759</link>
<guid>https://news.jatlink.uk/10759</guid>
<description><![CDATA[ Learn how ChatGPT safeguards your privacy, reduces personal data in training, and gives you control over whether your conversations improve AI models. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 08 May 2026 18:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, ChatGPT, learns, about, the, world, while, protecting, privacy</media:keywords>
</item>

<item>
<title>Halliburton enhances seismic workflow creation with Amazon Bedrock and Generative AI</title>
<link>https://news.jatlink.uk/10747</link>
<guid>https://news.jatlink.uk/10747</guid>
<description><![CDATA[ In this post, we&#039;ll explore how we built a proof-of-concept that converts natural language queries into executable seismic workflows while providing a question-answering capability for Halliburton&#039;s Seismic Engine tools and documentation. We&#039;ll cover the technical details of the solution, share evaluation results showing workflow acceleration of up to 95%, and discuss key learnings that can help other organizations enhance their complex technical workflows with generative AI. ]]></description>
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<pubDate>Fri, 08 May 2026 15:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Halliburton, enhances, seismic, workflow, creation, with, Amazon, Bedrock, and, Generative</media:keywords>
</item>

<item>
<title>Simplex rethinks software development with Codex</title>
<link>https://news.jatlink.uk/10709</link>
<guid>https://news.jatlink.uk/10709</guid>
<description><![CDATA[ Simplex boosts software development with ChatGPT Enterprise and Codex, reducing design, build, and testing time while scaling AI-driven workflows. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 08 May 2026 02:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Simplex, rethinks, software, development, with, Codex</media:keywords>
</item>

<item>
<title>NVIDIA and IREN Announce Strategic Partnership to Accelerate Deployment of up to 5 Gigawatts of AI Infrastructure</title>
<link>https://news.jatlink.uk/10696</link>
<guid>https://news.jatlink.uk/10696</guid>
<description><![CDATA[ NVIDIA (NASDAQ: NVDA) and IREN Limited (NASDAQ: IREN) (“IREN”) today announced a strategic partnership to accelerate deployment of next-generation AI infrastructure. ]]></description>
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<pubDate>Fri, 08 May 2026 00:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, IREN, Announce, Strategic, Partnership, Accelerate, Deployment, Gigawatts, Infrastructure</media:keywords>
</item>

<item>
<title>Powering the Next American Century: US Energy Secretary Chris Wright and NVIDIA’s Ian Buck on the Genesis Mission</title>
<link>https://news.jatlink.uk/10697</link>
<guid>https://news.jatlink.uk/10697</guid>
<description><![CDATA[ AI will help build the energy it needs. That’s the case U.S. Energy Secretary Chris Wright and NVIDIA Vice President of Hyperscale and High-Performance Computing Ian Buck made Thursday morning at the SCSP AI+ Expo. The 30-minute fireside chat, moderated by SCSP president Ylli Bajraktari, was called “Powering the Next American Century.” Their argument: American […] ]]></description>
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<pubDate>Fri, 08 May 2026 00:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Powering, the, Next, American, Century:, Energy, Secretary, Chris, Wright, and, NVIDIA’s, Ian, Buck, the, Genesis, Mission</media:keywords>
</item>

<item>
<title>Scaling Trusted Access for Cyber with GPT&amp;5.5 and GPT&amp;5.5&amp;Cyber</title>
<link>https://news.jatlink.uk/10695</link>
<guid>https://news.jatlink.uk/10695</guid>
<description><![CDATA[ OpenAI expands Trusted Access for Cyber with GPT-5.5 and GPT-5.5-Cyber, helping verified defenders accelerate vulnerability research and protect critical infrastructure. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 07 May 2026 23:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Scaling, Trusted, Access, for, Cyber, with, GPT-5.5, and, GPT-5.5-Cyber</media:keywords>
</item>

<item>
<title>Secure short&amp;term GPU capacity for ML workloads with EC2 Capacity Blocks for ML and SageMaker training plans</title>
<link>https://news.jatlink.uk/10679</link>
<guid>https://news.jatlink.uk/10679</guid>
<description><![CDATA[ In this post, you will learn how to secure reserved GPU capacity for short-term workloads using Amazon Elastic Compute Cloud (Amazon EC2) Capacity Blocks for ML and Amazon SageMaker training plans. These solutions can address GPU availability challenges when you need short-term capacity for load testing, model validation, time-bound workshops, or preparing inference capacity ahead of a release. ]]></description>
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<pubDate>Thu, 07 May 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Secure, short-term, GPU, capacity, for, workloads, with, EC2, Capacity, Blocks, for, and, SageMaker, training, plans</media:keywords>
</item>

<item>
<title>Overcoming reward signal challenges: Verifiable rewards&amp;based reinforcement learning with GRPO on SageMaker AI</title>
<link>https://news.jatlink.uk/10680</link>
<guid>https://news.jatlink.uk/10680</guid>
<description><![CDATA[ In this post, you will learn how to implement reinforcement learning with verifiable rewards (RLVR) to introduce verification and transparency into reward signals to improve training performance. This approach works best when outputs can be objectively verified for correctness, such as in mathematical reasoning, code generation, or symbolic manipulation tasks. You will also learn how to layer techniques like Group Relative Policy Optimization (GRPO) and few-shot examples to further improve results. You’ll use the GSM8K dataset (Grade School Math 8K: a collection of grade school math problems) to improve math problem solving accuracy, but the techniques used here can be adapted to a wide variety of other use cases. ]]></description>
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<pubDate>Thu, 07 May 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Overcoming, reward, signal, challenges:, Verifiable, rewards-based, reinforcement, learning, with, GRPO, SageMaker</media:keywords>
</item>

<item>
<title>Advancing voice intelligence with new models in the API</title>
<link>https://news.jatlink.uk/10677</link>
<guid>https://news.jatlink.uk/10677</guid>
<description><![CDATA[ Explore new realtime voice models in the OpenAI API that can reason, translate, and transcribe speech, enabling more natural and intelligent voice experiences. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 07 May 2026 19:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Advancing, voice, intelligence, with, new, models, the, API</media:keywords>
</item>

<item>
<title>Introducing Trusted Contact in ChatGPT</title>
<link>https://news.jatlink.uk/10678</link>
<guid>https://news.jatlink.uk/10678</guid>
<description><![CDATA[ Introducing Trusted Contact in ChatGPT, an optional safety feature that notifies someone you trust if serious self-harm concerns are detected. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 07 May 2026 19:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, Trusted, Contact, ChatGPT</media:keywords>
</item>

<item>
<title>How frontier firms are pulling ahead</title>
<link>https://news.jatlink.uk/10676</link>
<guid>https://news.jatlink.uk/10676</guid>
<description><![CDATA[ OpenAI’s B2B Signals research shows how frontier enterprises deepen AI adoption, scale Codex-powered agentic workflows, and build durable competitive advantage. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 07 May 2026 18:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, frontier, firms, are, pulling, ahead</media:keywords>
</item>

<item>
<title>Linked and Loaded: Gaijin Single Sign&amp;On Now Available on GeForce NOW</title>
<link>https://news.jatlink.uk/10658</link>
<guid>https://news.jatlink.uk/10658</guid>
<description><![CDATA[ Less typing, more tanking. Faster logins mean more time in the gaming action — and this week provides GeForce NOW members with a smoother path straight into the battlefield. Cloud gaming is all about instant access to titles across devices, and the latest GeForce NOW update removes another layer for members jumping into their Gaijin […] ]]></description>
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<pubDate>Thu, 07 May 2026 16:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Linked, and, Loaded:, Gaijin, Single, Sign-On, Now, Available, GeForce, NOW</media:keywords>
</item>

<item>
<title>Agents that transact: Introducing Amazon Bedrock AgentCore Payments, built with Coinbase and Stripe</title>
<link>https://news.jatlink.uk/10657</link>
<guid>https://news.jatlink.uk/10657</guid>
<description><![CDATA[ Today, we&#039;re announcing a preview of Amazon Bedrock AgentCore Payments, a new set of features in Amazon Bedrock AgentCore that enables AI agents to instantly access and pay for what they use. AgentCore Payments was developed in partnership with Coinbase and Stripe. ]]></description>
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<pubDate>Thu, 07 May 2026 15:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Agents, that, transact:, Introducing, Amazon, Bedrock, AgentCore, Payments, built, with, Coinbase, and, Stripe</media:keywords>
</item>

<item>
<title>Parloa builds service agents customers want to talk to</title>
<link>https://news.jatlink.uk/10656</link>
<guid>https://news.jatlink.uk/10656</guid>
<description><![CDATA[ Parloa leverages OpenAI models to power scalable, voice-driven AI customer service agents, enabling enterprises to design, simulate, and deploy reliable, real-time interactions. ]]></description>
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<pubDate>Thu, 07 May 2026 14:00:15 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Parloa, builds, service, agents, customers, want, talk</media:keywords>
</item>

<item>
<title>Singular Bank helps bankers move fast with ChatGPT and Codex</title>
<link>https://news.jatlink.uk/10619</link>
<guid>https://news.jatlink.uk/10619</guid>
<description><![CDATA[ Singular Bank built Singularity, an internal assistant using ChatGPT and Codex to help bankers save 60–90 minutes daily on meeting prep, portfolio analysis, and follow-up. ]]></description>
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<pubDate>Thu, 07 May 2026 02:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Singular, Bank, helps, bankers, move, fast, with, ChatGPT, and, Codex</media:keywords>
</item>

<item>
<title>Uber uses OpenAI to help people earn smarter and book faster</title>
<link>https://news.jatlink.uk/10618</link>
<guid>https://news.jatlink.uk/10618</guid>
<description><![CDATA[ Uber uses OpenAI to power AI assistants and voice features that help drivers earn smarter and riders book faster across a global real-time marketplace. ]]></description>
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<pubDate>Thu, 07 May 2026 02:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Uber, uses, OpenAI, help, people, earn, smarter, and, book, faster</media:keywords>
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<title>Introducing ChatGPT Futures: Class of 2026</title>
<link>https://news.jatlink.uk/10591</link>
<guid>https://news.jatlink.uk/10591</guid>
<description><![CDATA[ Meet the ChatGPT Futures Class of 2026—26 student innovators using AI to build, research, and drive real-world impact. Discover how this generation is redefining learning, creativity, and opportunity with ChatGPT. ]]></description>
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<pubDate>Wed, 06 May 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, ChatGPT, Futures:, Class, 2026</media:keywords>
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