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<title>Jat Ai News &amp; Unveiling the Future of Intelligence &amp; : Tools</title>
<link>https://news.jatlink.uk/rss/category/ai-tools</link>
<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>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>
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<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>
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<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>
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<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>
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<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>
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<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>
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<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>
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<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>
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<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>
<dc:creator>Jat AI</dc:creator>
<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>
<dc:creator>Jat AI</dc:creator>
<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>
<dc:creator>Jat AI</dc:creator>
<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>
<dc:creator>Jat AI</dc:creator>
<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>
<dc:creator>Jat AI</dc:creator>
<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>
<dc:creator>Jat AI</dc:creator>
<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>
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<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>
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<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>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<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>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<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>
</item>

<item>
<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>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<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>
</item>

<item>
<title>Cost effective deployment of vision&amp;language models for pet behavior detection on AWS Inferentia2</title>
<link>https://news.jatlink.uk/10592</link>
<guid>https://news.jatlink.uk/10592</guid>
<description><![CDATA[ Tomofun, the Taiwan-headquartered pet-tech startup behind the Furbo Pet Camera, is redefining how pet owners interact with their pets remotely. To reduce costs and maintain accuracy, Tomofun turned to EC2 Inf2 instances powered by AWS Inferentia2, the Amazon purpose-built AI chips. In this post, we walk through the following sections in detail. ]]></description>
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<pubDate>Wed, 06 May 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Cost, effective, deployment, vision-language, models, for, pet, behavior, detection, AWS, Inferentia2</media:keywords>
</item>

<item>
<title>How frontier enterprises are building an AI advantage</title>
<link>https://news.jatlink.uk/10590</link>
<guid>https://news.jatlink.uk/10590</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>Wed, 06 May 2026 18:00:59 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, frontier, enterprises, are, building, advantage</media:keywords>
</item>

<item>
<title>NVIDIA Spectrum&amp;X — the Open, AI&amp;Native Ethernet Fabric — Sets the Standard for Gigascale AI, Now With MRC</title>
<link>https://news.jatlink.uk/10572</link>
<guid>https://news.jatlink.uk/10572</guid>
<description><![CDATA[ The race to build the world’s most powerful AI factories demands networking that keeps pace with the ambitions of AI itself.  NVIDIA Spectrum-X Ethernet scale-out infrastructure stands at the forefront of that race as the most advanced AI networking technology available today, deployed by industry leaders who can’t afford to compromise on performance, resilience or […] ]]></description>
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<pubDate>Wed, 06 May 2026 16:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Spectrum-X, —, the, Open, AI-Native, Ethernet, Fabric, —, Sets, the, Standard, for, Gigascale, AI, Now, With, MRC</media:keywords>
</item>

<item>
<title>NVIDIA and Corning Announce Long&amp;Term Partnership to Strengthen US Manufacturing for AI Infrastructure</title>
<link>https://news.jatlink.uk/10573</link>
<guid>https://news.jatlink.uk/10573</guid>
<description><![CDATA[ NVIDIA (NASDAQ: NVDA) and Corning Incorporated (NYSE: GLW) today announced a multiyear commercial and technology partnership to dramatically expand U.S.-based manufacturing of the advanced optical connectivity solutions needed to power next-generation AI infrastructure. ]]></description>
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<pubDate>Wed, 06 May 2026 16:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, Corning, Announce, Long-Term, Partnership, Strengthen, Manufacturing, for, Infrastructure</media:keywords>
</item>

<item>
<title>Unlocking large scale AI training networks with MRC (Multipath Reliable Connection)</title>
<link>https://news.jatlink.uk/10571</link>
<guid>https://news.jatlink.uk/10571</guid>
<description><![CDATA[ OpenAI introduces MRC (Multipath Reliable Connection), a new supercomputer networking protocol released via OCP to improve resilience and performance in large-scale AI training clusters. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 06 May 2026 14:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Unlocking, large, scale, training, networks, with, MRC, Multipath, Reliable, Connection</media:keywords>
</item>

<item>
<title>Introducing agent quality optimization in AgentCore, now in preview</title>
<link>https://news.jatlink.uk/10520</link>
<guid>https://news.jatlink.uk/10520</guid>
<description><![CDATA[ Generate recommendations from production traces, validate them with batch evaluation and A/B testing, and ship with confidence. AI agents that perform well at launch don’t stay that way. As models evolve, user behavior shifts, and prompts get reused in new contexts they were never designed for. Agent quality quietly degrades. In most teams, the improvement […] ]]></description>
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<pubDate>Tue, 05 May 2026 23:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, agent, quality, optimization, AgentCore, now, preview</media:keywords>
</item>

<item>
<title>NVIDIA and ServiceNow Partner on New Autonomous AI Agents for Enterprises</title>
<link>https://news.jatlink.uk/10507</link>
<guid>https://news.jatlink.uk/10507</guid>
<description><![CDATA[ Enterprise AI has learned to generate. It has learned to reason. Now companies are asking the next question: How should AI act? Early agent systems have shown what’s possible, moving beyond simple prompts to take on more complex tasks. The next step is bringing those capabilities into enterprise environments — where agents must operate with […] ]]></description>
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<pubDate>Tue, 05 May 2026 20:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, ServiceNow, Partner, New, Autonomous, Agents, for, Enterprises</media:keywords>
</item>

<item>
<title>How Hapag&amp;Lloyd uses Amazon Bedrock to transform customer feedback into actionable insights</title>
<link>https://news.jatlink.uk/10502</link>
<guid>https://news.jatlink.uk/10502</guid>
<description><![CDATA[ Hapag-Lloyd&#039;s Digital Customer Experience and Engineering team, distributed between Hamburg and Gdańsk, drives digital innovation by developing and maintaining customer-facing web and mobile products. In this post, we walk you through our generative AI–powered feedback analysis solution built using Amazon Bedrock, Elasticsearch, and open-source frameworks like LangChain and LangGraph ]]></description>
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<pubDate>Tue, 05 May 2026 19:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Hapag-Lloyd, uses, Amazon, Bedrock, transform, customer, feedback, into, actionable, insights</media:keywords>
</item>

<item>
<title>Streamlining generative AI development with MLflow v3.10 on Amazon SageMaker AI</title>
<link>https://news.jatlink.uk/10503</link>
<guid>https://news.jatlink.uk/10503</guid>
<description><![CDATA[ Today, we’re excited to announce that Amazon SageMaker AI MLflow Apps now support MLflow version 3.10, bringing enhanced capabilities for generative AI development and streamlined experiment tracking to your generative AI workflows. Building on the foundations established with Amazon SageMaker AI MLflow Apps, this latest version introduces powerful new features for observability, evaluation, and generative […] ]]></description>
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<pubDate>Tue, 05 May 2026 19:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Streamlining, generative, development, with, MLflow, v3.10, Amazon, SageMaker</media:keywords>
</item>

<item>
<title>Introducing OS Level Actions in Amazon Bedrock AgentCore Browser</title>
<link>https://news.jatlink.uk/10504</link>
<guid>https://news.jatlink.uk/10504</guid>
<description><![CDATA[ We’re announcing OS Level Actions for AgentCore Browser. This new capability unblocks these scenarios by exposing direct OS control through the InvokeBrowser API, so agents can interact with content visible on the screen, not only what&#039;s accessible through the browser&#039;s web layer. By combining full-desktop screenshots with mouse and keyboard control at the OS level, agents can observe native UI, reason about it, and act on it within the same session. This post walks through how OS Level Actions work, what actions are supported, and how to get started. ]]></description>
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<pubDate>Tue, 05 May 2026 19:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, Level, Actions, Amazon, Bedrock, AgentCore, Browser</media:keywords>
</item>

<item>
<title>Secure AI agents with Amazon Bedrock AgentCore Identity on Amazon ECS</title>
<link>https://news.jatlink.uk/10505</link>
<guid>https://news.jatlink.uk/10505</guid>
<description><![CDATA[ AI agents in production require secure access to external services. Amazon Bedrock AgentCore Identity, available as a standalone service, secures how your AI agents access external services whether they run on compute platforms like Amazon ECS, Amazon EKS, AWS Lambda, or on-premises. This post implements Authorization Code Grant (3-legged OAuth) on Amazon ECS with secure session binding and scoped tokens. ]]></description>
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<pubDate>Tue, 05 May 2026 19:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Secure, agents, with, Amazon, Bedrock, AgentCore, Identity, Amazon, ECS</media:keywords>
</item>

<item>
<title>Intelligence&amp;driven message defense and insights using Amazon Bedrock</title>
<link>https://news.jatlink.uk/10506</link>
<guid>https://news.jatlink.uk/10506</guid>
<description><![CDATA[ In this post, you will learn how you can use Amazon Nova Foundation Models in Amazon Bedrock to apply generative AI techniques for both business protection and enhancement. You can identify obvious and disguised attempts at direct contact while gaining valuable insights into customer sentiment and service improvement opportunities. ]]></description>
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<pubDate>Tue, 05 May 2026 19:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Intelligence-driven, message, defense, and, insights, using, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>GPT&amp;5.5 Instant System Card</title>
<link>https://news.jatlink.uk/10500</link>
<guid>https://news.jatlink.uk/10500</guid>
<description><![CDATA[  ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 05 May 2026 19:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>GPT-5.5, Instant, System, Card</media:keywords>
</item>

<item>
<title>New ways to buy ChatGPT ads</title>
<link>https://news.jatlink.uk/10501</link>
<guid>https://news.jatlink.uk/10501</guid>
<description><![CDATA[ OpenAI expands ChatGPT ads with a beta self-serve Ads Manager, CPC bidding, and enhanced measurement tools—built to protect privacy and keep conversations separate from ads. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 05 May 2026 19:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>New, ways, buy, ChatGPT, ads</media:keywords>
</item>

<item>
<title>GPT&amp;5.5 Instant: smarter, clearer, and more personalized</title>
<link>https://news.jatlink.uk/10499</link>
<guid>https://news.jatlink.uk/10499</guid>
<description><![CDATA[ GPT-5.5 Instant updates ChatGPT’s default model with smarter, more accurate answers, reduced hallucinations, and improved personalization controls. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 05 May 2026 18:00:27 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>GPT-5.5, Instant:, smarter, clearer, and, more, personalized</media:keywords>
</item>

<item>
<title>OpenAI and PwC collaborate to reimagine the office of the CFO</title>
<link>https://news.jatlink.uk/10460</link>
<guid>https://news.jatlink.uk/10460</guid>
<description><![CDATA[ OpenAI and PwC are partnering to help enterprises use AI agents to automate finance workflows, improve forecasting, strengthen controls, and modernize the CFO function. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 05 May 2026 06:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, and, PwC, collaborate, reimagine, the, office, the, CFO</media:keywords>
</item>

<item>
<title>Introducing the agent quality loop: AgentCore Optimization now in preview</title>
<link>https://news.jatlink.uk/10451</link>
<guid>https://news.jatlink.uk/10451</guid>
<description><![CDATA[ Generate recommendations from production traces, validate them with batch evaluation and A/B testing, and ship with confidence. AI agents that perform well at launch don’t stay that way. As models evolve, user behavior shifts, and prompts get reused in new contexts they were never designed for. Agent quality quietly degrades. In most teams, the improvement […] ]]></description>
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<pubDate>Tue, 05 May 2026 03:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, the, agent, quality, loop:, AgentCore, Optimization, now, preview</media:keywords>
</item>

<item>
<title>How OpenAI delivers low&amp;latency voice AI at scale</title>
<link>https://news.jatlink.uk/10433</link>
<guid>https://news.jatlink.uk/10433</guid>
<description><![CDATA[ How OpenAI rebuilt its WebRTC stack to power real-time Voice AI with low latency, global scale, and seamless conversational turn-taking. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Mon, 04 May 2026 22:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, OpenAI, delivers, low-latency, voice, scale</media:keywords>
</item>

<item>
<title>Capacity&amp;aware inference: Automatic instance fallback for SageMaker AI endpoints</title>
<link>https://news.jatlink.uk/10420</link>
<guid>https://news.jatlink.uk/10420</guid>
<description><![CDATA[ Today, Amazon SageMaker AI introduces capacity aware instance pool for new and existing inference endpoints. You define a prioritized list of instance types, and SageMaker AI automatically works through your list whenever capacity is constrained at creation, during scale-out, and during scale-in. Your endpoint provisions on available AI Infrastructure without manual intervention. This capability is available for Single Model Endpoints, Inference Component-based endpoints, and Asynchronous Inference endpoints. ]]></description>
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<pubDate>Mon, 04 May 2026 19:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Capacity-aware, inference:, Automatic, instance, fallback, for, SageMaker, endpoints</media:keywords>
</item>

<item>
<title>Agent&amp;guided workflows to accelerate model customization in Amazon SageMaker AI</title>
<link>https://news.jatlink.uk/10416</link>
<guid>https://news.jatlink.uk/10416</guid>
<description><![CDATA[ Amazon SageMaker AI now offers an agentic experience that changes this. Developers describe their use case using natural language, and the AI coding agent streamlines the entire journey, from use case definition and data preparation through technique selection, evaluation, and deployment. In this post, we walk you through the model customization lifecycle using SageMaker AI agent skills. ]]></description>
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<pubDate>Mon, 04 May 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Agent-guided, workflows, accelerate, model, customization, Amazon, SageMaker</media:keywords>
</item>

<item>
<title>Generate dashboards from natural language prompts in Amazon Quick</title>
<link>https://news.jatlink.uk/10417</link>
<guid>https://news.jatlink.uk/10417</guid>
<description><![CDATA[ Building meaningful dashboards demands hours of manual setup, even for experienced BI professionals. Amazon Quick now generates complete multi-sheet dashboards from natural language prompts, taking you from one or more datasets to a production-ready analysis in minutes. Data analysts building recurring operations reports, program managers preparing a leadership review, or engineers exploring a new dataset can […] ]]></description>
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<pubDate>Mon, 04 May 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Generate, dashboards, from, natural, language, prompts, Amazon, Quick</media:keywords>
</item>

<item>
<title>From data lake to AI&amp;ready analytics: Introducing new data source with S3 Tables in Amazon Quick</title>
<link>https://news.jatlink.uk/10418</link>
<guid>https://news.jatlink.uk/10418</guid>
<description><![CDATA[ Amazon Quick introduces Amazon S3 Tables (Apache Iceberg tables) as a new data source. With this feature, customers can directly query and visualize Apache Iceberg tables stored in an Amazon S3 table bucket without the need for intermediate data layers. In this post, we explored how Amazon Quick’s new Amazon S3 Tables data source enables near real-time analytics while streamlining modern data architectures. ]]></description>
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<pubDate>Mon, 04 May 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>From, data, lake, AI-ready, analytics:, Introducing, new, data, source, with, Tables, Amazon, Quick</media:keywords>
</item>

<item>
<title>Introducing Dataset Q&amp;amp;A: Expanding natural language querying for structured datasets in Amazon Quick</title>
<link>https://news.jatlink.uk/10419</link>
<guid>https://news.jatlink.uk/10419</guid>
<description><![CDATA[ In this post, you learn how to get started with Dataset Q&amp;A, explore real-world use cases with hands-on examples, and discover advanced capabilities like auto-discovery across all your data assets and multi-dataset querying in a single conversation. ]]></description>
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<pubDate>Mon, 04 May 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, Dataset, Q&amp;A:, Expanding, natural, language, querying, for, structured, datasets, Amazon, Quick</media:keywords>
</item>

<item>
<title>Beyond BI: How the Dataset Q&amp;amp;A feature of Amazon Quick powers the next generation of data decisions</title>
<link>https://news.jatlink.uk/10414</link>
<guid>https://news.jatlink.uk/10414</guid>
<description><![CDATA[ Business leaders across industries rely on operational dashboards as the shared source of truth that their teams execute against daily. But dashboards are built to answer known questions. When teams need to explore further, ad-hoc, multi-dimensional, or unforeseen questions, they hit a bottleneck. They wait hours or days for BI teams to build new views […] ]]></description>
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<pubDate>Mon, 04 May 2026 19:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Beyond, BI:, How, the, Dataset, Q&amp;A, feature, Amazon, Quick, powers, the, next, generation, data, decisions</media:keywords>
</item>

<item>
<title>Introducing the agent performance loop: AgentCore Optimization now in preview</title>
<link>https://news.jatlink.uk/10415</link>
<guid>https://news.jatlink.uk/10415</guid>
<description><![CDATA[ Generate recommendations from production traces, validate them with batch evaluation and A/B testing, and ship with confidence. AI agents that perform well at launch don’t stay that way. As models evolve, user behavior shifts, and prompts get reused in new contexts they were never designed for. Agent quality quietly degrades. In most teams, the improvement […] ]]></description>
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<pubDate>Mon, 04 May 2026 19:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, the, agent, performance, loop:, AgentCore, Optimization, now, preview</media:keywords>
</item>

<item>
<title>AWS Transform now automates BI migration to Amazon Quick in days</title>
<link>https://news.jatlink.uk/10229</link>
<guid>https://news.jatlink.uk/10229</guid>
<description><![CDATA[ In this post, we walk through the full journey, from setting up your migration workspace in AWS Transform to subscribing to partner agents through AWS Marketplace to unlocking Amazon Quick capabilities that change how your organization consumes data. ]]></description>
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<pubDate>Fri, 01 May 2026 23:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>AWS, Transform, now, automates, migration, Amazon, Quick, days</media:keywords>
</item>

<item>
<title>Nemotron Labs: What OpenClaw Agents Mean for Every Organization</title>
<link>https://news.jatlink.uk/10158</link>
<guid>https://news.jatlink.uk/10158</guid>
<description><![CDATA[ By early 2026, the open source project OpenClaw had become a phenomenon. In January, its GitHub star count crossed 100,000 as developer interest surged. ]]></description>
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<pubDate>Fri, 01 May 2026 00:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Nemotron, Labs:, What, OpenClaw, Agents, Mean, for, Every, Organization</media:keywords>
</item>

<item>
<title>Reinforcement fine&amp;tuning with LLM&amp;as&amp;a&amp;judge</title>
<link>https://news.jatlink.uk/10157</link>
<guid>https://news.jatlink.uk/10157</guid>
<description><![CDATA[ In this post, we take a deeper look at how RLAIF or RL with LLM-as-a-judge works with Amazon Nova models effectively. ]]></description>
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<pubDate>Thu, 30 Apr 2026 23:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Reinforcement, fine-tuning, with, LLM-as-a-judge</media:keywords>
</item>

<item>
<title>Sun Finance automates ID extraction and fraud detection with generative AI on AWS</title>
<link>https://news.jatlink.uk/10140</link>
<guid>https://news.jatlink.uk/10140</guid>
<description><![CDATA[ In this post, we show how Sun Finance used Amazon Bedrock, Amazon Textract, and Amazon Rekognition to build an AI-powered identity verification (IDV) pipeline. The solution improved extraction accuracy from 79.7% to 90.8%, cut per-document costs by 91%, and reduced processing time from up to 20 hours to under 5 seconds. You&#039;ll learn how combining specialized OCR with large language model (LLM) structuring outperformed using either tool alone. You&#039;ll also learn how to architect a serverless fraud detection system using vector similarity search. ]]></description>
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<pubDate>Thu, 30 Apr 2026 19:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Sun, Finance, automates, extraction, and, fraud, detection, with, generative, AWS</media:keywords>
</item>

<item>
<title>Unleashing Agentic AI Analytics on Amazon SageMaker with Amazon Athena and Amazon Quick</title>
<link>https://news.jatlink.uk/10141</link>
<guid>https://news.jatlink.uk/10141</guid>
<description><![CDATA[ This post demonstrates how agentic AI assistant from Amazon Quick transform data analytics into a self-service capability by using Amazon Simple Storage Service (Amazon S3) as a storage, Amazon SageMaker and AWS Glue for lakehouse, Amazon Athena for serverless SQL querying across multiple storage formats (S3 Table, Iceberg, and Parquet). ]]></description>
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<pubDate>Thu, 30 Apr 2026 19:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Unleashing, Agentic, Analytics, Amazon, SageMaker, with, Amazon, Athena, and, Amazon, Quick</media:keywords>
</item>

<item>
<title>Configuring Amazon Bedrock AgentCore Gateway for secure access to private resources</title>
<link>https://news.jatlink.uk/10142</link>
<guid>https://news.jatlink.uk/10142</guid>
<description><![CDATA[ In this post, you will configure Amazon Bedrock AgentCore Gateway to access private endpoints using Resource Gateway, a managed construct that provisions Elastic Network Interfaces (ENIs) directly inside your Amazon VPC, one per subnet. You will explore two implementation modes (managed and self-managed) and walk through three practical scenarios: connecting to a private Amazon API Gateway endpoint, integrating with a MCP server on Amazon Elastic Kubernetes Service (Amazon EKS), and accessing a private REST API. ]]></description>
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<pubDate>Thu, 30 Apr 2026 19:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Configuring, Amazon, Bedrock, AgentCore, Gateway, for, secure, access, private, resources</media:keywords>
</item>

<item>
<title>AWS Generative AI Model Agility Solution: A comprehensive guide to migrating LLMs for generative AI production</title>
<link>https://news.jatlink.uk/10139</link>
<guid>https://news.jatlink.uk/10139</guid>
<description><![CDATA[ In this post, we introduce a systematic framework for LLM migration or upgrade in generative AI production, encompassing essential tools, methodologies, and best practices. The framework facilitates transitions between different LLMs by providing robust protocols for prompt conversion and optimization. ]]></description>
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<pubDate>Thu, 30 Apr 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>AWS, Generative, Model, Agility, Solution:, comprehensive, guide, migrating, LLMs, for, generative, production</media:keywords>
</item>

<item>
<title>Introducing Advanced Account Security</title>
<link>https://news.jatlink.uk/10138</link>
<guid>https://news.jatlink.uk/10138</guid>
<description><![CDATA[ Introducing Advanced Account Security: phishing-resistant login, stronger recovery, and enhanced protections to safeguard sensitive data and prevent account takeover. ]]></description>
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<pubDate>Thu, 30 Apr 2026 18:00:51 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, Advanced, Account, Security</media:keywords>
</item>

<item>
<title>It’s Gonna Be May: 16 Games Hit the Cloud This Month, With More NVIDIA GeForce RTX 5080 Power</title>
<link>https://news.jatlink.uk/10123</link>
<guid>https://news.jatlink.uk/10123</guid>
<description><![CDATA[ It’s gonna be May — and the cloud’s in full festival mode.  16 games are joining GeForce NOW this month, including new AAA titles arriving on launch day from Steam, Xbox, PC Game Pass and GOG, so members can stream their PC libraries instantly across almost any device. Headline launches include the highly anticipated Forza […] ]]></description>
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<pubDate>Thu, 30 Apr 2026 16:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>It’s, Gonna, May:, Games, Hit, the, Cloud, This, Month, With, More, NVIDIA, GeForce, RTX, 5080, Power</media:keywords>
</item>

<item>
<title>Where the goblins came from</title>
<link>https://news.jatlink.uk/10096</link>
<guid>https://news.jatlink.uk/10096</guid>
<description><![CDATA[ How goblin outputs spread in AI models: timeline, root cause, and fixes behind personality-driven quirks in GPT-5 behavior. ]]></description>
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<pubDate>Thu, 30 Apr 2026 06:00:14 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Where, the, goblins, came, from</media:keywords>
</item>

<item>
<title>Building the compute infrastructure for the Intelligence Age</title>
<link>https://news.jatlink.uk/10080</link>
<guid>https://news.jatlink.uk/10080</guid>
<description><![CDATA[ OpenAI scales Stargate to build the compute infrastructure powering AGI, adding new data center capacity to meet growing AI demand. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 30 Apr 2026 02:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, the, compute, infrastructure, for, the, Intelligence, Age</media:keywords>
</item>

<item>
<title>NVIDIA Sets Conference Call for First&amp;Quarter Financial Results</title>
<link>https://news.jatlink.uk/10068</link>
<guid>https://news.jatlink.uk/10068</guid>
<description><![CDATA[ NVIDIA will host a conference call on Wednesday, May 20, at 2 p.m. PT (5 p.m. ET) to discuss its financial results for the first quarter of fiscal year 2027, which ended April 26, 2026. ]]></description>
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<pubDate>Thu, 30 Apr 2026 00:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Sets, Conference, Call, for, First-Quarter, Financial, Results</media:keywords>
</item>

<item>
<title>Organizing Agents’ memory at scale: Namespace design patterns in AgentCore Memory</title>
<link>https://news.jatlink.uk/10067</link>
<guid>https://news.jatlink.uk/10067</guid>
<description><![CDATA[ In this post, you will learn how to design namespace hierarchies, choose the right retrieval patterns, and implement AWS Identity and Access Management (IAM)-based access control for AgentCore Memory. ]]></description>
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<pubDate>Wed, 29 Apr 2026 23:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Organizing, Agents’, memory, scale:, Namespace, design, patterns, AgentCore, Memory</media:keywords>
</item>

<item>
<title>Extracting contract insights with PwC’s AI&amp;driven annotation on AWS</title>
<link>https://news.jatlink.uk/10066</link>
<guid>https://news.jatlink.uk/10066</guid>
<description><![CDATA[ This post was co-written with Yash Munsadwala, Adam Hood, Justin Guse, and Hector Hernandez from PwC. Contract analysis often consumes significant time for legal, compliance, and procurement teams, especially when important insights are buried in lengthy, unstructured agreements. As contract volumes grow, finding specific clauses and assessing extracted terms can become increasingly difficult to scale. […] ]]></description>
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<pubDate>Wed, 29 Apr 2026 23:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Extracting, contract, insights, with, PwC’s, AI-driven, annotation, AWS</media:keywords>
</item>

<item>
<title>Building AI&amp;ready data: Vanguard’s Virtual Analyst journey</title>
<link>https://news.jatlink.uk/10036</link>
<guid>https://news.jatlink.uk/10036</guid>
<description><![CDATA[ In this post, you&#039;ll learn how Vanguard built their Virtual Analyst solution by focusing on eight guiding principles of AI-ready data, the AWS services that powered their implementation, and the measurable business outcomes they achieved. ]]></description>
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<pubDate>Wed, 29 Apr 2026 15:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, AI-ready, data:, Vanguard’s, Virtual, Analyst, journey</media:keywords>
</item>

<item>
<title>Run custom MCP proxies serverless on Amazon Bedrock AgentCore Runtime</title>
<link>https://news.jatlink.uk/10037</link>
<guid>https://news.jatlink.uk/10037</guid>
<description><![CDATA[ This post shows you how to deploy a serverless MCP proxy on Amazon Bedrock AgentCore Runtime that gives you a programmable layer to implement proper governance, controls, and observability aligned with an organization&#039;s security policies. ]]></description>
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<pubDate>Wed, 29 Apr 2026 15:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Run, custom, MCP, proxies, serverless, Amazon, Bedrock, AgentCore, Runtime</media:keywords>
</item>

<item>
<title>Cybersecurity in the Intelligence Age</title>
<link>https://news.jatlink.uk/10035</link>
<guid>https://news.jatlink.uk/10035</guid>
<description><![CDATA[ OpenAI outlines a five-part action plan for strengthening cybersecurity in the Intelligence Age, focused on democratizing AI-powered cyber defense and protecting critical systems. ]]></description>
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<pubDate>Wed, 29 Apr 2026 14:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Cybersecurity, the, Intelligence, Age</media:keywords>
</item>

<item>
<title>Our commitment to community safety</title>
<link>https://news.jatlink.uk/9998</link>
<guid>https://news.jatlink.uk/9998</guid>
<description><![CDATA[ Learn how OpenAI protects community safety in ChatGPT through model safeguards, misuse detection, policy enforcement, and collaboration with safety experts. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 29 Apr 2026 02:00:34 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Our, commitment, community, safety</media:keywords>
</item>

<item>
<title>NVIDIA Launches Nemotron 3 Nano Omni Model, Unifying Vision, Audio and Language for up to 9x More Efficient AI Agents</title>
<link>https://news.jatlink.uk/9969</link>
<guid>https://news.jatlink.uk/9969</guid>
<description><![CDATA[ AI agent systems today juggle separate models for vision, speech and language — losing time and context as they pass data from one model to the other. Unveiled today, NVIDIA Nemotron 3 Nano Omni is an open multimodal model that brings these capabilities together into one system, enabling agents to deliver faster, smarter responses with […] ]]></description>
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<pubDate>Tue, 28 Apr 2026 20:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Launches, Nemotron, Nano, Omni, Model, Unifying, Vision, Audio, and, Language, for, More, Efficient, Agents</media:keywords>
</item>

<item>
<title>Migrating a text agent to a voice assistant with Amazon Nova 2 Sonic</title>
<link>https://news.jatlink.uk/9967</link>
<guid>https://news.jatlink.uk/9967</guid>
<description><![CDATA[ In this post, we explore what it takes to migrate a traditional text agent into a conversational voice assistant using Amazon Nova 2 Sonic. We compare text and voice agent requirements, highlight design priorities for different use cases, break down agent architecture, and address common concerns like tools and sub-agents for reuse and system prompt adaptation. This post helps you navigate the migration process and avoid common pitfalls. ]]></description>
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<pubDate>Tue, 28 Apr 2026 19:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Migrating, text, agent, voice, assistant, with, Amazon, Nova, Sonic</media:keywords>
</item>

<item>
<title>NVIDIA Nemotron 3 Nano Omni model now available on Amazon SageMaker JumpStart</title>
<link>https://news.jatlink.uk/9968</link>
<guid>https://news.jatlink.uk/9968</guid>
<description><![CDATA[ Today, we are excited to announce the day zero availability of NVIDIA Nemotron 3 Nano Omni on Amazon SageMaker JumpStart. In this post, we walk through the model architecture and key capabilities of Nemotron 3 Nano Omni, explore the enterprise use cases it unlocks, and show you how to deploy and run inference using Amazon SageMaker JumpStart. ]]></description>
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<pubDate>Tue, 28 Apr 2026 19:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Nemotron, Nano, Omni, model, now, available, Amazon, SageMaker, JumpStart</media:keywords>
</item>

<item>
<title>OpenAI models, Codex, and Managed Agents come to AWS</title>
<link>https://news.jatlink.uk/9966</link>
<guid>https://news.jatlink.uk/9966</guid>
<description><![CDATA[ OpenAI GPT models, Codex, and Managed Agents are now available on AWS, enabling enterprises to build secure AI in their AWS environments. ]]></description>
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<pubDate>Tue, 28 Apr 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, models, Codex, and, Managed, Agents, come, AWS</media:keywords>
</item>

<item>
<title>Into the Omniverse: Manufacturing’s Simulation&amp;First Era Has Arrived</title>
<link>https://news.jatlink.uk/9949</link>
<guid>https://news.jatlink.uk/9949</guid>
<description><![CDATA[ Manufacturing’s traditional design-build-test cycle rested on a single assumption: Real-world testing was the only reliable test environment.  ]]></description>
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<pubDate>Tue, 28 Apr 2026 16:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Into, the, Omniverse:, Manufacturing’s, Simulation-First, Era, Has, Arrived</media:keywords>
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<item>
<title>OpenAI available at FedRAMP Moderate</title>
<link>https://news.jatlink.uk/9906</link>
<guid>https://news.jatlink.uk/9906</guid>
<description><![CDATA[ OpenAI is available at FedRAMP Moderate authorization for ChatGPT Enterprise and the OpenAI API, enabling secure AI adoption for U.S. federal agencies. ]]></description>
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<pubDate>Mon, 27 Apr 2026 23:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, available, FedRAMP, Moderate</media:keywords>
</item>

<item>
<title>Build Strands Agents with SageMaker AI models and MLflow</title>
<link>https://news.jatlink.uk/9888</link>
<guid>https://news.jatlink.uk/9888</guid>
<description><![CDATA[ In this post, we demonstrate how to build AI agents using Strands Agents SDK with models deployed on SageMaker AI endpoints. You will learn how to deploy foundation models from SageMaker JumpStart, integrate them with Strands Agents, and establish production-grade observability using SageMaker Serverless MLflow for agent tracing. We also cover how to implement A/B testing across multiple model variants and evaluate agent performance using MLflow metrics and show how you can build, deploy, and continuously improve AI agents on infrastructure you control. ]]></description>
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<pubDate>Mon, 27 Apr 2026 19:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, Strands, Agents, with, SageMaker, models, and, MLflow</media:keywords>
</item>

<item>
<title>How Popsa used Amazon Nova to inspire customers with personalised title suggestions</title>
<link>https://news.jatlink.uk/9889</link>
<guid>https://news.jatlink.uk/9889</guid>
<description><![CDATA[ In this post, we share how we applied Amazon Bedrock and the Amazon Nova family of models to reimagine our Title Suggestion feature. By combining metadata, computer vision, and retrieval-augmented generative AI, we now automatically generate creative, brand-aligned titles and subtitles across 12 languages. Using the unified API of Amazon Bedrock, Anthropic’s Claude 3 Haiku, and Amazon Nova Lite and Pro, we improved quality, reduced cost, and cut response times. This resulted in higher customer satisfaction, measurable uplifts in engagement and purchase rates, and over 5.5 million personalised titles generated in 2025. ]]></description>
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<pubDate>Mon, 27 Apr 2026 19:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Popsa, used, Amazon, Nova, inspire, customers, with, personalised, title, suggestions</media:keywords>
</item>

<item>
<title>An open&amp;source spec for orchestration: Symphony</title>
<link>https://news.jatlink.uk/9885</link>
<guid>https://news.jatlink.uk/9885</guid>
<description><![CDATA[ Learn how Symphony, an open-source spec for Codex orchestration, turns issue trackers into always-on agent systems—boosting engineering output and reducing context switching. ]]></description>
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<pubDate>Mon, 27 Apr 2026 19:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>open-source, spec, for, orchestration:, Symphony</media:keywords>
</item>

<item>
<title>Automate repetitive tasks with Amazon Quick Flows</title>
<link>https://news.jatlink.uk/9886</link>
<guid>https://news.jatlink.uk/9886</guid>
<description><![CDATA[ This post shows you how to build your first AI-powered workflow, using Amazon Quick, starting with a financial analysis tool and progressing to an advanced employee onboarding automation. ]]></description>
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<pubDate>Mon, 27 Apr 2026 19:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Automate, repetitive, tasks, with, Amazon, Quick, Flows</media:keywords>
</item>

<item>
<title>Build and deploy an automatic sync solution for Amazon Bedrock Knowledge Bases</title>
<link>https://news.jatlink.uk/9887</link>
<guid>https://news.jatlink.uk/9887</guid>
<description><![CDATA[ In this post, we explore an automated solution that detects S3 events and triggers ingestion jobs while respecting service quotas and providing comprehensive monitoring. This serverless solution uses an event-driven architecture to keep your knowledge base current without overwhelming the Amazon Bedrock APIs. ]]></description>
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<pubDate>Mon, 27 Apr 2026 19:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, and, deploy, automatic, sync, solution, for, Amazon, Bedrock, Knowledge, Bases</media:keywords>
</item>

<item>
<title>Choco automates food distribution with AI agents</title>
<link>https://news.jatlink.uk/9884</link>
<guid>https://news.jatlink.uk/9884</guid>
<description><![CDATA[ How Choco used OpenAI APIs to streamline food distribution, boost productivity, and unlock growth—an in-depth customer story on real-world AI impact. ]]></description>
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<pubDate>Mon, 27 Apr 2026 19:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Choco, automates, food, distribution, with, agents</media:keywords>
</item>

<item>
<title>The next phase of the Microsoft OpenAI partnership</title>
<link>https://news.jatlink.uk/9869</link>
<guid>https://news.jatlink.uk/9869</guid>
<description><![CDATA[ OpenAI and Microsoft announce an amended agreement that simplifies the partnership, adds long-term clarity, and supports continued AI innovation at scale. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Mon, 27 Apr 2026 15:00:29 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>The, next, phase, the, Microsoft, OpenAI, partnership</media:keywords>
</item>

<item>
<title>Our principles</title>
<link>https://news.jatlink.uk/9838</link>
<guid>https://news.jatlink.uk/9838</guid>
<description><![CDATA[ Our mission is to ensure that AGI benefits all of humanity. Sam Altman shares five principles that guide our work. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Mon, 27 Apr 2026 02:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Our, principles</media:keywords>
</item>

<item>
<title>Building Workforce AI Agents with Visier and Amazon Quick</title>
<link>https://news.jatlink.uk/9698</link>
<guid>https://news.jatlink.uk/9698</guid>
<description><![CDATA[ In this post, we show how connecting the Visier Workforce AI platform with Amazon Quick through Model Context Protocol (MCP) gives every knowledge worker a unified agentic workspace to ask questions in. Visier helps ground the workspace in live workforce data and the organizational context that surrounds it while letting your users act on the conversational results without switching tools. ]]></description>
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<pubDate>Fri, 24 Apr 2026 23:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, Workforce, Agents, with, Visier, and, Amazon, Quick</media:keywords>
</item>

<item>
<title>OpenAI’s New GPT&amp;5.5 Powers Codex on NVIDIA Infrastructure — and NVIDIA Is Already Putting It to Work</title>
<link>https://news.jatlink.uk/9621</link>
<guid>https://news.jatlink.uk/9621</guid>
<description><![CDATA[ AI agents have revolutionized developer workflows, and their next frontier is knowledge work: processing information, solving complex problems, coming up with new ideas and driving innovation.  Codex, OpenAI’s agentic coding application, is enabling this new frontier. It’s now powered by GPT-5.5, OpenAI’s latest frontier model, which runs on NVIDIA GB200 NVL72 rack-scale systems.  Over 10,000 […] ]]></description>
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<pubDate>Fri, 24 Apr 2026 00:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI’s, New, GPT-5.5, Powers, Codex, NVIDIA, Infrastructure, —, and, NVIDIA, Already, Putting, Work</media:keywords>
</item>

<item>
<title>What is Codex?</title>
<link>https://news.jatlink.uk/9619</link>
<guid>https://news.jatlink.uk/9619</guid>
<description><![CDATA[ Learn how Codex helps you go beyond chat by automating tasks, connecting tools, and producing real outputs like docs and dashboards. ]]></description>
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<pubDate>Thu, 23 Apr 2026 22:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>What, Codex</media:keywords>
</item>

<item>
<title>GPT&amp;5.5 Bio Bug Bounty</title>
<link>https://news.jatlink.uk/9620</link>
<guid>https://news.jatlink.uk/9620</guid>
<description><![CDATA[ Explore the GPT-5.5 Bio Bug Bounty: a red-teaming challenge to find universal jailbreaks for bio safety risks, with rewards up to $25,000. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 23 Apr 2026 22:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>GPT-5.5, Bio, Bug, Bounty</media:keywords>
</item>

<item>
<title>Introducing GPT&amp;5.5</title>
<link>https://news.jatlink.uk/9611</link>
<guid>https://news.jatlink.uk/9611</guid>
<description><![CDATA[ Introducing GPT-5.5, our smartest model yet—faster, more capable, and built for complex tasks like coding, research, and data analysis across tools. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 23 Apr 2026 22:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, GPT-5.5</media:keywords>
</item>

<item>
<title>GPT&amp;5.5 System Card</title>
<link>https://news.jatlink.uk/9612</link>
<guid>https://news.jatlink.uk/9612</guid>
<description><![CDATA[  ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 23 Apr 2026 22:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>GPT-5.5, System, Card</media:keywords>
</item>

<item>
<title>Codex settings</title>
<link>https://news.jatlink.uk/9613</link>
<guid>https://news.jatlink.uk/9613</guid>
<description><![CDATA[ Learn how to configure Codex settings, including personalization, detail level, and permissions, to run tasks smoothly and customize your workflow. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 23 Apr 2026 22:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Codex, settings</media:keywords>
</item>

<item>
<title>Automations</title>
<link>https://news.jatlink.uk/9614</link>
<guid>https://news.jatlink.uk/9614</guid>
<description><![CDATA[ Learn how to automate tasks in Codex using schedules and triggers to create reports, summaries, and recurring workflows without manual effort. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 23 Apr 2026 22:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Automations</media:keywords>
</item>

<item>
<title>Top 10 uses for Codex at work</title>
<link>https://news.jatlink.uk/9615</link>
<guid>https://news.jatlink.uk/9615</guid>
<description><![CDATA[ Explore 10 practical Codex use cases to automate tasks, create deliverables, and turn real inputs into outputs across tools, files, and workflows. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 23 Apr 2026 22:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Top, uses, for, Codex, work</media:keywords>
</item>

<item>
<title>How to get started with Codex</title>
<link>https://news.jatlink.uk/9616</link>
<guid>https://news.jatlink.uk/9616</guid>
<description><![CDATA[ Learn how to get started with Codex by setting up projects, creating threads, and completing your first tasks with step-by-step guidance. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 23 Apr 2026 22:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, get, started, with, Codex</media:keywords>
</item>

<item>
<title>Working with Codex</title>
<link>https://news.jatlink.uk/9617</link>
<guid>https://news.jatlink.uk/9617</guid>
<description><![CDATA[ Learn how to set up your Codex workspace, create threads and projects, manage files, and start completing tasks with step-by-step guidance. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 23 Apr 2026 22:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Working, with, Codex</media:keywords>
</item>

<item>
<title>Plugins and skills</title>
<link>https://news.jatlink.uk/9618</link>
<guid>https://news.jatlink.uk/9618</guid>
<description><![CDATA[ Learn how to use Codex plugins and skills to connect tools, access data, and follow repeatable workflows to automate tasks and improve results. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 23 Apr 2026 22:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Plugins, and, skills</media:keywords>
</item>

<item>
<title>Amazon Quick for marketing: From scattered data to strategic action</title>
<link>https://news.jatlink.uk/9596</link>
<guid>https://news.jatlink.uk/9596</guid>
<description><![CDATA[ Amazon Quick changes how you work. You can set it up in minutes and by the end of the day, you will wonder how you ever worked without it. Quick connects with your applications, tools, and data, creating a personal knowledge graph that learns your priorities, preferences, and network. ]]></description>
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<pubDate>Thu, 23 Apr 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Amazon, Quick, for, marketing:, From, scattered, data, strategic, action</media:keywords>
</item>

<item>
<title>Applying multimodal biological foundation models across therapeutics and patient care</title>
<link>https://news.jatlink.uk/9597</link>
<guid>https://news.jatlink.uk/9597</guid>
<description><![CDATA[ In this post, we&#039;ll explore how multimodal BioFMs work, showcase real-world applications in drug discovery and clinical development, and contextualize how AWS enables organizations to build and deploy multimodal BioFMs. ]]></description>
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<pubDate>Thu, 23 Apr 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Applying, multimodal, biological, foundation, models, across, therapeutics, and, patient, care</media:keywords>
</item>

<item>
<title>Making Sense of the Early Universe</title>
<link>https://news.jatlink.uk/9583</link>
<guid>https://news.jatlink.uk/9583</guid>
<description><![CDATA[ This Spring Astronomy Day, here’s a look at how AI and GPUs are helping astronomers work through unprecedented volumes of cosmic data. ]]></description>
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<pubDate>Thu, 23 Apr 2026 16:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Making, Sense, the, Early, Universe</media:keywords>
</item>

<item>
<title>Tag, You’re It: GeForce NOW Levels Up Game Discovery With Xbox Game Pass and Ubisoft+ Labels</title>
<link>https://news.jatlink.uk/9582</link>
<guid>https://news.jatlink.uk/9582</guid>
<description><![CDATA[ GeForce NOW is doubling down on what matters most: gamers. This week’s upgrades bring smarter libraries, making it easier than ever for gamers to turn a PC collection into a cloud-powered flex. It starts with giving existing libraries time to shine. Gamers can bring the games they love to the cloud, stream them with high […] ]]></description>
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<pubDate>Thu, 23 Apr 2026 16:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Tag, You’re, It:, GeForce, NOW, Levels, Game, Discovery, With, Xbox, Game, Pass, and, Ubisoft, Labels</media:keywords>
</item>

<item>
<title>Making ChatGPT better for clinicians</title>
<link>https://news.jatlink.uk/9546</link>
<guid>https://news.jatlink.uk/9546</guid>
<description><![CDATA[ OpenAI makes ChatGPT for Clinicians free for verified U.S. physicians, nurse practitioners, and pharmacists, supporting clinical care, documentation, and research. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 23 Apr 2026 02:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Making, ChatGPT, better, for, clinicians</media:keywords>
</item>

<item>
<title>Introducing ChatGPT Images 2.0</title>
<link>https://news.jatlink.uk/9529</link>
<guid>https://news.jatlink.uk/9529</guid>
<description><![CDATA[ ChatGPT Images 2.0 introduces a state-of-the-art image generation model with improved text rendering, multilingual support, and advanced visual reasoning. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 22 Apr 2026 23:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, ChatGPT, Images, 2.0</media:keywords>
</item>

<item>
<title>Cost&amp;effective multilingual audio transcription at scale with Parakeet&amp;TDT and AWS Batch</title>
<link>https://news.jatlink.uk/9530</link>
<guid>https://news.jatlink.uk/9530</guid>
<description><![CDATA[ In this post, we walk through building a scalable, event-driven transcription pipeline that automatically processes audio files uploaded to Amazon Simple Storage Service (Amazon S3), and show you how to use Amazon EC2 Spot Instances and buffered streaming inference to further reduce costs. ]]></description>
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<pubDate>Wed, 22 Apr 2026 23:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Cost-effective, multilingual, audio, transcription, scale, with, Parakeet-TDT, and, AWS, Batch</media:keywords>
</item>

<item>
<title>Amazon SageMaker AI now supports optimized generative AI inference recommendations</title>
<link>https://news.jatlink.uk/9531</link>
<guid>https://news.jatlink.uk/9531</guid>
<description><![CDATA[ Today, Amazon SageMaker AI  supports optimized generative AI inference recommendations. By delivering validated, optimal deployment configurations with performance metrics, Amazon SageMaker AI keeps your model developers focused on building accurate models, not managing infrastructure. ]]></description>
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<pubDate>Wed, 22 Apr 2026 23:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Amazon, SageMaker, now, supports, optimized, generative, inference, recommendations</media:keywords>
</item>

<item>
<title>Get to your first working agent in minutes: Announcing new features in Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/9532</link>
<guid>https://news.jatlink.uk/9532</guid>
<description><![CDATA[ Today, we&#039;re introducing new capabilities that further streamline the agent building experience, removing the infrastructure barriers that slow teams down at every stage of agent development from the first prototype through production deployment. ]]></description>
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<pubDate>Wed, 22 Apr 2026 23:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Get, your, first, working, agent, minutes:, Announcing, new, features, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Workspace agents</title>
<link>https://news.jatlink.uk/9515</link>
<guid>https://news.jatlink.uk/9515</guid>
<description><![CDATA[ Learn how to build, use, and scale workspace agents in ChatGPT to automate repeatable workflows, connect tools, and streamline team operations. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 22 Apr 2026 19:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Workspace, agents</media:keywords>
</item>

<item>
<title>Company&amp;wise memory in Amazon Bedrock with Amazon Neptune and Mem0</title>
<link>https://news.jatlink.uk/9516</link>
<guid>https://news.jatlink.uk/9516</guid>
<description><![CDATA[ Company-wise memory in Amazon Bedrock, powered by Amazon Neptune and Mem0, provides AI agents with persistent, company-specific context—enabling them to learn, adapt, and respond intelligently across multiple interactions. TrendMicro, one of the largest antivirus software companies in the world, developed the Trend’s Companion chatbot, so their customers can explore information through natural, conversational interactions ]]></description>
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<pubDate>Wed, 22 Apr 2026 19:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Company-wise, memory, Amazon, Bedrock, with, Amazon, Neptune, and, Mem0</media:keywords>
</item>

<item>
<title>Introducing workspace agents in ChatGPT</title>
<link>https://news.jatlink.uk/9514</link>
<guid>https://news.jatlink.uk/9514</guid>
<description><![CDATA[ Workspace agents in ChatGPT are Codex-powered agents that automate complex workflows, run in the cloud, and help teams scale work across tools securely. ]]></description>
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<pubDate>Wed, 22 Apr 2026 19:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, workspace, agents, ChatGPT</media:keywords>
</item>

<item>
<title>Speeding up agentic workflows with WebSockets in the Responses API</title>
<link>https://news.jatlink.uk/9512</link>
<guid>https://news.jatlink.uk/9512</guid>
<description><![CDATA[ A deep dive into the Codex agent loop, showing how WebSockets and connection-scoped caching reduced API overhead and improved model latency. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 22 Apr 2026 18:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Speeding, agentic, workflows, with, WebSockets, the, Responses, API</media:keywords>
</item>

<item>
<title>Introducing OpenAI Privacy Filter</title>
<link>https://news.jatlink.uk/9513</link>
<guid>https://news.jatlink.uk/9513</guid>
<description><![CDATA[ OpenAI Privacy Filter is an open-weight model for detecting and redacting personally identifiable information (PII) in text with state-of-the-art accuracy ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 22 Apr 2026 18:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, OpenAI, Privacy, Filter</media:keywords>
</item>

<item>
<title>From Rainforests to Recycling Plants: 5 Ways NVIDIA AI Is Protecting the Planet</title>
<link>https://news.jatlink.uk/9499</link>
<guid>https://news.jatlink.uk/9499</guid>
<description><![CDATA[ Across climate, conservation, disaster monitoring and recycling, NVIDIA AI is enabling applications protecting the planet. ]]></description>
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<pubDate>Wed, 22 Apr 2026 16:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>From, Rainforests, Recycling, Plants:, Ways, NVIDIA, Protecting, the, Planet</media:keywords>
</item>

<item>
<title>NVIDIA and Google Cloud Collaborate to Advance Agentic and Physical AI</title>
<link>https://news.jatlink.uk/9500</link>
<guid>https://news.jatlink.uk/9500</guid>
<description><![CDATA[ NVIDIA and Google Cloud have collaborated for more than a decade, co‑engineering a full‑stack AI platform that spans every technology layer — from performance‑optimized libraries and frameworks to enterprise‑grade cloud services.  This foundation enables developers, startups and enterprises to push agentic and physical AI out of the lab and into production — from agents that […] ]]></description>
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<pubDate>Wed, 22 Apr 2026 16:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, Google, Cloud, Collaborate, Advance, Agentic, and, Physical</media:keywords>
</item>

<item>
<title>From developer desks to the whole organization: Running Claude Cowork in Amazon Bedrock</title>
<link>https://news.jatlink.uk/9447</link>
<guid>https://news.jatlink.uk/9447</guid>
<description><![CDATA[ Today, we&#039;re excited to announce Claude Cowork in Amazon Bedrock. You can now run Cowork and Claude Code Desktop through Amazon Bedrock, directly or using an LLM gateway. In this post, we walk through how Claude Cowork integrates with Amazon Bedrock and show an example of how knowledge workers use it in practice. ]]></description>
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<pubDate>Tue, 21 Apr 2026 22:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>From, developer, desks, the, whole, organization:, Running, Claude, Cowork, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>End&amp;to&amp;end lineage with DVC and Amazon SageMaker AI MLflow apps</title>
<link>https://news.jatlink.uk/9433</link>
<guid>https://news.jatlink.uk/9433</guid>
<description><![CDATA[ In this post, we show how to combine DVC (Data Version Control), Amazon SageMaker AI, and Amazon SageMaker AI MLflow Apps to build end-to-end ML model lineage. We walk through two deployable patterns — dataset-level lineage and record-level lineage — that you can run in your own AWS account using the companion notebooks. ]]></description>
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<pubDate>Tue, 21 Apr 2026 18:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>End-to-end, lineage, with, DVC, and, Amazon, SageMaker, MLflow, apps</media:keywords>
</item>

<item>
<title>Scaling Codex to enterprises worldwide</title>
<link>https://news.jatlink.uk/9418</link>
<guid>https://news.jatlink.uk/9418</guid>
<description><![CDATA[ OpenAI launches Codex Transformation Partners, a program with Accenture, PwC, Infosys, and others to help enterprises deploy and scale Codex across the software development lifecycle. ]]></description>
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<pubDate>Tue, 21 Apr 2026 14:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Scaling, Codex, enterprises, worldwide</media:keywords>
</item>

<item>
<title>Accelerate Generative AI Inference on Amazon SageMaker AI with G7e Instances</title>
<link>https://news.jatlink.uk/9362</link>
<guid>https://news.jatlink.uk/9362</guid>
<description><![CDATA[ Today, we are thrilled to announce the availability of G7e instances powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs on Amazon SageMaker AI. You can provision nodes with 1, 2, 4, and 8 RTX PRO 6000 GPU instances, with each GPU providing 96 GB of GDDR7 memory. This launch provides the capability to use a single-node GPU, G7e.2xlarge instance to host powerful open source foundation models (FMs) like GPT-OSS-120B, Nemotron-3-Super-120B-A12B (NVFP4 variant), and Qwen3.5-35B-A3B, offering organizations a cost-effective and high-performing option. ]]></description>
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<pubDate>Mon, 20 Apr 2026 22:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Accelerate, Generative, Inference, Amazon, SageMaker, with, G7e, Instances</media:keywords>
</item>

<item>
<title>ToolSimulator: scalable tool testing for AI agents</title>
<link>https://news.jatlink.uk/9363</link>
<guid>https://news.jatlink.uk/9363</guid>
<description><![CDATA[ You can use ToolSimulator, an LLM-powered tool simulation framework within Strands Evals, to thoroughly and safely test AI agents that rely on external tools, at scale. Instead of risking live API calls that expose personally identifiable information (PII), trigger unintended actions, or settling for static mocks that break with multi-turn workflows, you can use ToolSimulator&#039;s large language model (LLM)-powered simulations to validate your agents. Available today as part of the Strands Evals Software Development Kit (SDK), ToolSimulator helps you catch integration bugs early, test edge cases comprehensively, and ship production-ready agents with confidence. ]]></description>
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<pubDate>Mon, 20 Apr 2026 22:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>ToolSimulator:, scalable, tool, testing, for, agents</media:keywords>
</item>

<item>
<title>Omnichannel ordering with Amazon Bedrock AgentCore and Amazon Nova 2 Sonic</title>
<link>https://news.jatlink.uk/9348</link>
<guid>https://news.jatlink.uk/9348</guid>
<description><![CDATA[ In this post, we&#039;ll show you how to build a complete omnichannel ordering system using Amazon Bedrock AgentCore, an agentic platform, to build, deploy, and operate highly effective AI agents securely at scale using any framework and foundation model and Amazon Nova 2 Sonic. ]]></description>
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<pubDate>Mon, 20 Apr 2026 18:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Omnichannel, ordering, with, Amazon, Bedrock, AgentCore, and, Amazon, Nova, Sonic</media:keywords>
</item>

<item>
<title>OpenAI helps Hyatt advance AI among colleagues</title>
<link>https://news.jatlink.uk/9347</link>
<guid>https://news.jatlink.uk/9347</guid>
<description><![CDATA[ Hyatt deploys ChatGPT Enterprise across its global workforce, using GPT-5.4 and Codex to improve productivity, operations, and guest experiences. ]]></description>
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<pubDate>Mon, 20 Apr 2026 17:00:11 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, helps, Hyatt, advance, among, colleagues</media:keywords>
</item>

<item>
<title>Autonomous AI at Scale: Adobe Agents Unlock Breakthrough Creative Intelligence With NVIDIA and WPP</title>
<link>https://news.jatlink.uk/9333</link>
<guid>https://news.jatlink.uk/9333</guid>
<description><![CDATA[ AI agents are transforming how work gets done across all industries, accelerating everything from content creation to decision-making. NVIDIA’s expanded strategic collaborations with Adobe and WPP are bringing agentic AI to the center of enterprise marketing operations across creative production and customer experience orchestration.  As demand for personalized customer experiences surges, brands require intelligent systems […] ]]></description>
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<pubDate>Mon, 20 Apr 2026 15:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Autonomous, Scale:, Adobe, Agents, Unlock, Breakthrough, Creative, Intelligence, With, NVIDIA, and, WPP</media:keywords>
</item>

<item>
<title>NVIDIA and Partners Showcase the Future of AI&amp;Driven Manufacturing at Hannover Messe 2026</title>
<link>https://news.jatlink.uk/9316</link>
<guid>https://news.jatlink.uk/9316</guid>
<description><![CDATA[ Manufacturing is at an inflection point. Across every major industrial economy, the pressure to do more with less — due to faster design cycles, leaner operations and strain on skilled labor pools — is accelerating the shift to AI-driven production.  The question is no longer whether to adopt AI, but how fast and at what […] ]]></description>
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<pubDate>Mon, 20 Apr 2026 11:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, Partners, Showcase, the, Future, AI-Driven, Manufacturing, Hannover, Messe, 2026</media:keywords>
</item>

<item>
<title>Introducing granular cost attribution for Amazon Bedrock</title>
<link>https://news.jatlink.uk/9154</link>
<guid>https://news.jatlink.uk/9154</guid>
<description><![CDATA[ In this post, we share how Amazon Bedrock&#039;s granular cost attribution works and walk through example cost tracking scenarios. ]]></description>
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<pubDate>Sat, 18 Apr 2026 02:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, granular, cost, attribution, for, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>From hours to minutes: How Agentic AI gave marketers time back for what matters</title>
<link>https://news.jatlink.uk/9139</link>
<guid>https://news.jatlink.uk/9139</guid>
<description><![CDATA[ In this post, we share how AWS Marketing’s Technology, AI, and Analytics (TAA) team worked with Gradial to build an agentic AI solution on Amazon Bedrock for accelerating content publishing workflows. ]]></description>
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<pubDate>Fri, 17 Apr 2026 22:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>From, hours, minutes:, How, Agentic, gave, marketers, time, back, for, what, matters</media:keywords>
</item>

<item>
<title>Optimize video semantic search intent with Amazon Nova Model Distillation on Amazon Bedrock</title>
<link>https://news.jatlink.uk/9136</link>
<guid>https://news.jatlink.uk/9136</guid>
<description><![CDATA[ In this post, we show you how to use Model Distillation, a model customization technique on Amazon Bedrock, to transfer routing intelligence from a large teacher model (Amazon Nova Premier) into a much smaller student model (Amazon Nova Micro). This approach cuts inference cost by over 95% and reduces latency by 50% while maintaining the nuanced routing quality that the task demands. ]]></description>
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<pubDate>Fri, 17 Apr 2026 22:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Optimize, video, semantic, search, intent, with, Amazon, Nova, Model, Distillation, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Power video semantic search with Amazon Nova Multimodal Embeddings</title>
<link>https://news.jatlink.uk/9137</link>
<guid>https://news.jatlink.uk/9137</guid>
<description><![CDATA[ In this post, we show you how to build a video semantic search solution on Amazon Bedrock using Nova Multimodal Embeddings that intelligently understands user intent and retrieves accurate video results across all signal types simultaneously. We also share a reference implementation you can deploy and explore with your own content. ]]></description>
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<pubDate>Fri, 17 Apr 2026 22:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Power, video, semantic, search, with, Amazon, Nova, Multimodal, Embeddings</media:keywords>
</item>

<item>
<title>Nova Forge SDK series part 2: Practical guide to fine&amp;tune Nova models using data mixing capabilities</title>
<link>https://news.jatlink.uk/9138</link>
<guid>https://news.jatlink.uk/9138</guid>
<description><![CDATA[ This hands-on guide walks through every step of fine-tuning an Amazon Nova model with the Amazon Nova Forge SDK, from data preparation to training with data mixing to evaluation, giving you a repeatable playbook you can adapt to your own use case. This is the second part in our Nova Forge SDK series, building on the SDK introduction and first part, which covered kicking off customization experiments. ]]></description>
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<pubDate>Fri, 17 Apr 2026 22:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Nova, Forge, SDK, series, part, Practical, guide, fine-tune, Nova, models, using, data, mixing, capabilities</media:keywords>
</item>

<item>
<title>Cost&amp;efficient custom text&amp;to&amp;SQL using Amazon Nova Micro and Amazon Bedrock on&amp;demand inference</title>
<link>https://news.jatlink.uk/9049</link>
<guid>https://news.jatlink.uk/9049</guid>
<description><![CDATA[ In this post, we demonstrate two approaches to fine-tune Amazon Nova Micro for custom SQL dialect generation to deliver both cost efficiency and production ready performance. ]]></description>
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<pubDate>Thu, 16 Apr 2026 22:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Cost-efficient, custom, text-to-SQL, using, Amazon, Nova, Micro, and, Amazon, Bedrock, on-demand, inference</media:keywords>
</item>

<item>
<title>Transform retail with AWS generative AI services</title>
<link>https://news.jatlink.uk/9050</link>
<guid>https://news.jatlink.uk/9050</guid>
<description><![CDATA[ Online retailers face a persistent challenge: shoppers struggle to determine the fit and look when ordering online, leading to increased returns and decreased purchase confidence. The cost? Lost revenue, operational overhead, and customer frustration. Meanwhile, consumers increasingly expect immersive, interactive shopping experiences that bridge the gap between online and in-store retail. Retailers implementing virtual try-on […] ]]></description>
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<pubDate>Thu, 16 Apr 2026 22:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Transform, retail, with, AWS, generative, services</media:keywords>
</item>

<item>
<title>How Automated Reasoning checks in Amazon Bedrock transform generative AI compliance</title>
<link>https://news.jatlink.uk/9051</link>
<guid>https://news.jatlink.uk/9051</guid>
<description><![CDATA[ In this post, you&#039;ll learn why probabilistic AI validation falls short in regulated industries and how Automated Reasoning checks use formal verification to deliver mathematically proven results. You&#039;ll also see how customers across six industries use this technology to produce formally verified, auditable AI outputs, and how to get started. ]]></description>
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<pubDate>Thu, 16 Apr 2026 22:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Automated, Reasoning, checks, Amazon, Bedrock, transform, generative, compliance</media:keywords>
</item>

<item>
<title>Codex for (almost) everything</title>
<link>https://news.jatlink.uk/9046</link>
<guid>https://news.jatlink.uk/9046</guid>
<description><![CDATA[ The updated Codex app for macOS and Windows adds computer use, in-app browsing, image generation, memory, and plugins to accelerate developer workflows. ]]></description>
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<pubDate>Thu, 16 Apr 2026 21:00:19 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Codex, for, almost, everything</media:keywords>
</item>

<item>
<title>Introducing GPT&amp;Rosalind for life sciences research</title>
<link>https://news.jatlink.uk/9047</link>
<guid>https://news.jatlink.uk/9047</guid>
<description><![CDATA[ OpenAI introduces GPT-Rosalind, a frontier reasoning model built to accelerate drug discovery, genomics analysis, protein reasoning, and scientific research workflows. ]]></description>
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<pubDate>Thu, 16 Apr 2026 21:00:19 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, GPT-Rosalind, for, life, sciences, research</media:keywords>
</item>

<item>
<title>Responsible and safe use of AI</title>
<link>https://news.jatlink.uk/9048</link>
<guid>https://news.jatlink.uk/9048</guid>
<description><![CDATA[ Learn how to use AI responsibly with best practices for safety, accuracy, and transparency when using tools like ChatGPT. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 16 Apr 2026 21:00:19 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Responsible, and, safe, use</media:keywords>
</item>

<item>
<title>No Need for Space Gear — Capcom’s ‘PRAGMATA’ Joins GeForce NOW on Launch Day</title>
<link>https://news.jatlink.uk/9018</link>
<guid>https://news.jatlink.uk/9018</guid>
<description><![CDATA[ Head straight for orbit with GeForce NOW — no space helmet required.  PRAGMATA, Capcom’s long-awaited sci-fi action adventure, touches down on GeForce NOW the same day it launches worldwide. The futuristic journey through a cold lunar station in the near future can be streamed instantly from the cloud to almost any device, no console or […] ]]></description>
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<pubDate>Thu, 16 Apr 2026 15:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Need, for, Space, Gear, —, Capcom’s, ‘PRAGMATA’, Joins, GeForce, NOW, Launch, Day</media:keywords>
</item>

<item>
<title>Our response to the Axios developer tool compromise</title>
<link>https://news.jatlink.uk/9017</link>
<guid>https://news.jatlink.uk/9017</guid>
<description><![CDATA[ OpenAI responds to the Axios supply chain attack by rotating macOS code signing certificates, updating apps, and confirming no user data was compromised. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 16 Apr 2026 13:00:21 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Our, response, the, Axios, developer, tool, compromise</media:keywords>
</item>

<item>
<title>Accelerating the cyber defense ecosystem that protects us all</title>
<link>https://news.jatlink.uk/9016</link>
<guid>https://news.jatlink.uk/9016</guid>
<description><![CDATA[ Leading security firms and enterprises join OpenAI’s Trusted Access for Cyber, using GPT-5.4-Cyber and $10M in API grants to strengthen global cyber defense. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 16 Apr 2026 13:00:20 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Accelerating, the, cyber, defense, ecosystem, that, protects, all</media:keywords>
</item>

<item>
<title>The next evolution of the Agents SDK</title>
<link>https://news.jatlink.uk/8958</link>
<guid>https://news.jatlink.uk/8958</guid>
<description><![CDATA[ OpenAI updates the Agents SDK with native sandbox execution and a model-native harness, helping developers build secure, long-running agents across files and tools. ]]></description>
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<pubDate>Wed, 15 Apr 2026 21:00:24 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>The, next, evolution, the, Agents, SDK</media:keywords>
</item>

<item>
<title>Rethinking AI TCO: Why Cost per Token Is the Only Metric That Matters</title>
<link>https://news.jatlink.uk/8939</link>
<guid>https://news.jatlink.uk/8939</guid>
<description><![CDATA[ Traditional data centers only stored, retrieved and processed data. In the generative and agentic AI era, these facilities have evolved into AI token factories. With AI inference becoming their primary workload, their primary output is intelligence manufactured in the form of tokens.  This transformation demands a corresponding shift in how the economics of AI infrastructure, […] ]]></description>
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<pubDate>Wed, 15 Apr 2026 19:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Rethinking, TCO:, Why, Cost, per, Token, the, Only, Metric, That, Matters</media:keywords>
</item>

<item>
<title>Accelerating decode&amp;heavy LLM inference with speculative decoding on AWS Trainium and vLLM</title>
<link>https://news.jatlink.uk/8937</link>
<guid>https://news.jatlink.uk/8937</guid>
<description><![CDATA[ In this post, you will learn how speculative decoding works and why it helps reduce cost per generated token on AWS Trainium2. ]]></description>
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<pubDate>Wed, 15 Apr 2026 18:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Accelerating, decode-heavy, LLM, inference, with, speculative, decoding, AWS, Trainium, and, vLLM</media:keywords>
</item>

<item>
<title>Create rich, custom tooltips in Amazon Quick Sight</title>
<link>https://news.jatlink.uk/8936</link>
<guid>https://news.jatlink.uk/8936</guid>
<description><![CDATA[ Today, we&#039;re announcing sheet tooltips in Amazon Quick Sight. Dashboard authors can now design custom tooltip layouts using free-form layout sheets. These layouts combine charts, key performance indicator (KPI) metrics, text, and other visuals into a single tooltip that renders dynamically when readers hover over data points. ]]></description>
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<pubDate>Wed, 15 Apr 2026 18:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Create, rich, custom, tooltips, Amazon, Quick, Sight</media:keywords>
</item>

<item>
<title>Rede Mater Dei de Saúde: Monitoring AI agents in the revenue cycle with Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/8938</link>
<guid>https://news.jatlink.uk/8938</guid>
<description><![CDATA[ This post is cowritten by Renata Salvador Grande, Gabriel Bueno and Paulo Laurentys at Rede Mater Dei de Saúde. The growing adoption of multi-agent AI systems is redefining critical operations in healthcare. In large hospital networks, where thousands of decisions directly impact cash flow, service delivery times, and the risk of claim denials, the ability […] ]]></description>
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<pubDate>Wed, 15 Apr 2026 18:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Rede, Mater, Dei, Saúde:, Monitoring, agents, the, revenue, cycle, with, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>New Adobe Premiere Color Grading Mode Accelerated on NVIDIA GPUs</title>
<link>https://news.jatlink.uk/8924</link>
<guid>https://news.jatlink.uk/8924</guid>
<description><![CDATA[ The NAB Show 2026 trade show, running April 18-22 in Las Vegas, is set to showcase a wave of new features and optimizations for top video editing applications. Bringing together over 60,000 content professionals from across the broadcast and media and entertainment industries, the event highlights how video editors, livestreamers and professional creators are exploring […] ]]></description>
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<pubDate>Wed, 15 Apr 2026 15:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>New, Adobe, Premiere, Color, Grading, Mode, Accelerated, NVIDIA, GPUs</media:keywords>
</item>

<item>
<title>Navigating the generative AI journey: The Path&amp;to&amp;Value framework from AWS</title>
<link>https://news.jatlink.uk/8864</link>
<guid>https://news.jatlink.uk/8864</guid>
<description><![CDATA[ In this post, we introduce the Generative AI Path-to-Value (P2V) framework, a structured approach to help you move generative AI initiatives from concept to production and sustained value creation. ]]></description>
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<pubDate>Tue, 14 Apr 2026 22:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Navigating, the, generative, journey:, The, Path-to-Value, framework, from, AWS</media:keywords>
</item>

<item>
<title>Use&amp;case based deployments on SageMaker JumpStart</title>
<link>https://news.jatlink.uk/8865</link>
<guid>https://news.jatlink.uk/8865</guid>
<description><![CDATA[ We&#039;re excited to announce the launch of Amazon SageMaker JumpStart optimized deployments. SageMaker JumpStart improved deployments address the need for rich and straightforward deployment customization on SageMaker JumpStart by offering pre-defined deployment configurations, designed for specific use cases. Customers maintain the same level of visibility into the details of their proposed deployments, but now deployments are optimized for their specific use case and performance constraint. ]]></description>
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<pubDate>Tue, 14 Apr 2026 22:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Use-case, based, deployments, SageMaker, JumpStart</media:keywords>
</item>

<item>
<title>Best practices to run inference on Amazon SageMaker HyperPod</title>
<link>https://news.jatlink.uk/8866</link>
<guid>https://news.jatlink.uk/8866</guid>
<description><![CDATA[ This post explores how Amazon SageMaker HyperPod provides a comprehensive solution for inference workloads. We walk you through the platform’s key capabilities for dynamic scaling, simplified deployment, and intelligent resource management. By the end of this post, you’ll understand how to use the HyperPod automated infrastructure, cost optimization features, and performance enhancements to reduce your total cost of ownership by up to 40% while accelerating your generative AI deployments from concept to production. ]]></description>
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<pubDate>Tue, 14 Apr 2026 22:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Best, practices, run, inference, Amazon, SageMaker, HyperPod</media:keywords>
</item>

<item>
<title>How Guidesly built AI&amp;generated trip reports for outdoor guides on AWS</title>
<link>https://news.jatlink.uk/8867</link>
<guid>https://news.jatlink.uk/8867</guid>
<description><![CDATA[ In this post, we walk through how Guidesly built Jack AI on AWS using AWS Lambda, AWS Step Functions, Amazon Simple Storage Service (Amazon S3), Amazon Relational Database Service (Amazon RDS), Amazon SageMaker AI, and Amazon Bedrock to ingest trip media, enrich it with context, apply computer vision and generative AI, and publish marketing-ready content across multiple channels—securely, reliably, and at scale. ]]></description>
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<pubDate>Tue, 14 Apr 2026 22:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Guidesly, built, AI-generated, trip, reports, for, outdoor, guides, AWS</media:keywords>
</item>

<item>
<title>Trusted access for the next era of cyber defense</title>
<link>https://news.jatlink.uk/8863</link>
<guid>https://news.jatlink.uk/8863</guid>
<description><![CDATA[ OpenAI expands its Trusted Access for Cyber program, introducing GPT-5.4-Cyber to vetted defenders and strengthening safeguards as AI cybersecurity capabilities advance. ]]></description>
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<pubDate>Tue, 14 Apr 2026 22:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Trusted, access, for, the, next, era, cyber, defense</media:keywords>
</item>

<item>
<title>NVIDIA Launches Ising, the World’s First Open AI Models to Accelerate the Path to Useful Quantum Computers</title>
<link>https://news.jatlink.uk/8845</link>
<guid>https://news.jatlink.uk/8845</guid>
<description><![CDATA[ NVIDIA today announced the world’s first family of open source quantum AI models, NVIDIA Ising, designed to help researchers and enterprises build quantum processors capable of running useful applications. ]]></description>
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<pubDate>Tue, 14 Apr 2026 19:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Launches, Ising, the, World’s, First, Open, Models, Accelerate, the, Path, Useful, Quantum, Computers</media:keywords>
</item>

<item>
<title>Spring AI SDK for Amazon Bedrock AgentCore is now Generally Available</title>
<link>https://news.jatlink.uk/8827</link>
<guid>https://news.jatlink.uk/8827</guid>
<description><![CDATA[ With the new Spring AI AgentCore SDK, you can build production-ready AI agents and run them on the highly scalable AgentCore Runtime. The Spring AI AgentCore SDK is an open source library that brings Amazon Bedrock AgentCore capabilities into Spring AI. In this post, we build an AI agent starting with a chat endpoint, then adding streaming responses, conversation memory, and tools for web browsing and code execution. ]]></description>
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<pubDate>Tue, 14 Apr 2026 14:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Spring, SDK, for, Amazon, Bedrock, AgentCore, now, Generally, Available</media:keywords>
</item>

<item>
<title>How to build effective reward functions with AWS Lambda for Amazon Nova model customization</title>
<link>https://news.jatlink.uk/8762</link>
<guid>https://news.jatlink.uk/8762</guid>
<description><![CDATA[ This post demonstrates how Lambda enables scalable, cost-effective reward functions for Amazon Nova customization. You&#039;ll learn to choose between Reinforcement Learning via Verifiable Rewards (RLVR) for objectively verifiable tasks and Reinforcement Learning via AI Feedback (RLAIF) for subjective evaluation, design multi-dimensional reward systems that help you prevent reward hacking, optimize Lambda functions for training scale, and monitor reward distributions with Amazon CloudWatch. Working code examples and deployment guidance are included to help you start experimenting. ]]></description>
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<pubDate>Mon, 13 Apr 2026 18:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, build, effective, reward, functions, with, AWS, Lambda, for, Amazon, Nova, model, customization</media:keywords>
</item>

<item>
<title>Enterprises power agentic workflows in Cloudflare Agent Cloud with OpenAI</title>
<link>https://news.jatlink.uk/8761</link>
<guid>https://news.jatlink.uk/8761</guid>
<description><![CDATA[ Cloudflare brings OpenAI’s GPT-5.4 and Codex to Agent Cloud, enabling enterprises to build, deploy, and scale AI agents for real-world tasks with speed and security. ]]></description>
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<pubDate>Mon, 13 Apr 2026 17:00:28 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Enterprises, power, agentic, workflows, Cloudflare, Agent, Cloud, with, OpenAI</media:keywords>
</item>

<item>
<title>Research with ChatGPT</title>
<link>https://news.jatlink.uk/8734</link>
<guid>https://news.jatlink.uk/8734</guid>
<description><![CDATA[ Learn how to research with ChatGPT using search and deep research to find up-to-date information, analyze sources, and generate structured insights. ]]></description>
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<pubDate>Mon, 13 Apr 2026 10:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Research, with, ChatGPT</media:keywords>
</item>

<item>
<title>Using custom GPTs</title>
<link>https://news.jatlink.uk/8733</link>
<guid>https://news.jatlink.uk/8733</guid>
<description><![CDATA[ Learn how to build and use custom GPTs to automate workflows, maintain consistent outputs, and create purpose-built AI assistants. ]]></description>
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<pubDate>Mon, 13 Apr 2026 09:00:35 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Using, custom, GPTs</media:keywords>
</item>

<item>
<title>Applications of AI at OpenAI</title>
<link>https://news.jatlink.uk/8655</link>
<guid>https://news.jatlink.uk/8655</guid>
<description><![CDATA[ Explore how OpenAI products like ChatGPT, Codex, and APIs bring AI into real-world use for work, development, and everyday tasks. ]]></description>
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<pubDate>Sun, 12 Apr 2026 05:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Applications, OpenAI</media:keywords>
</item>

<item>
<title>Analyzing data with ChatGPT</title>
<link>https://news.jatlink.uk/8656</link>
<guid>https://news.jatlink.uk/8656</guid>
<description><![CDATA[ Learn how to analyze data with ChatGPT by exploring datasets, generating insights, creating visualizations, and turning findings into actionable decisions. ]]></description>
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<pubDate>Sun, 12 Apr 2026 05:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Analyzing, data, with, ChatGPT</media:keywords>
</item>

<item>
<title>Brainstorming with ChatGPT</title>
<link>https://news.jatlink.uk/8635</link>
<guid>https://news.jatlink.uk/8635</guid>
<description><![CDATA[ Learn how to use ChatGPT to brainstorm ideas, organize thinking, and turn rough concepts into structured, actionable plans. ]]></description>
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<pubDate>Sat, 11 Apr 2026 21:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Brainstorming, with, ChatGPT</media:keywords>
</item>

<item>
<title>Prompting fundamentals</title>
<link>https://news.jatlink.uk/8596</link>
<guid>https://news.jatlink.uk/8596</guid>
<description><![CDATA[ Learn prompting fundamentals and how to write clear, effective prompts to get better, more useful responses from ChatGPT. ]]></description>
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<pubDate>Sat, 11 Apr 2026 05:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Prompting, fundamentals</media:keywords>
</item>

<item>
<title>Working with files in ChatGPT</title>
<link>https://news.jatlink.uk/8597</link>
<guid>https://news.jatlink.uk/8597</guid>
<description><![CDATA[ Learn how to upload and work with files in ChatGPT to analyze data, summarize documents, and generate content from PDFs, spreadsheets, and more. ]]></description>
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<pubDate>Sat, 11 Apr 2026 05:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Working, with, files, ChatGPT</media:keywords>
</item>

<item>
<title>ChatGPT for customer success teams</title>
<link>https://news.jatlink.uk/8598</link>
<guid>https://news.jatlink.uk/8598</guid>
<description><![CDATA[ Learn how customer success teams use ChatGPT to manage accounts, improve communication, reduce churn, and drive adoption and renewals. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Sat, 11 Apr 2026 05:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>ChatGPT, for, customer, success, teams</media:keywords>
</item>

<item>
<title>Creating images with ChatGPT</title>
<link>https://news.jatlink.uk/8588</link>
<guid>https://news.jatlink.uk/8588</guid>
<description><![CDATA[ Learn how to create and refine images with ChatGPT using clear prompts, iterate on designs, and generate high-quality visuals in minutes. ]]></description>
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<pubDate>Sat, 11 Apr 2026 01:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Creating, images, with, ChatGPT</media:keywords>
</item>

<item>
<title>Healthcare</title>
<link>https://news.jatlink.uk/8589</link>
<guid>https://news.jatlink.uk/8589</guid>
<description><![CDATA[ Explore how clinicians use ChatGPT to support diagnosis, documentation, and patient care with secure, HIPAA-compliant AI tools. ]]></description>
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<pubDate>Sat, 11 Apr 2026 01:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Healthcare</media:keywords>
</item>

<item>
<title>Using skills</title>
<link>https://news.jatlink.uk/8590</link>
<guid>https://news.jatlink.uk/8590</guid>
<description><![CDATA[ Learn how to create and use ChatGPT skills to build reusable workflows, automate recurring tasks, and ensure consistent, high-quality outputs. ]]></description>
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<pubDate>Sat, 11 Apr 2026 01:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Using, skills</media:keywords>
</item>

<item>
<title>Using projects in ChatGPT</title>
<link>https://news.jatlink.uk/8591</link>
<guid>https://news.jatlink.uk/8591</guid>
<description><![CDATA[ Learn how to use orojects in ChatGPT to organize chats, files, and instructions, manage ongoing work, and collaborate more effectively. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Sat, 11 Apr 2026 01:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Using, projects, ChatGPT</media:keywords>
</item>

<item>
<title>Financial services</title>
<link>https://news.jatlink.uk/8587</link>
<guid>https://news.jatlink.uk/8587</guid>
<description><![CDATA[ Explore AI resources for financial services, including prompt packs, GPTs, guides, and tools to help institutions deploy and scale AI securely. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Sat, 11 Apr 2026 01:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Financial, services</media:keywords>
</item>

<item>
<title>Personalizing ChatGPT</title>
<link>https://news.jatlink.uk/8568</link>
<guid>https://news.jatlink.uk/8568</guid>
<description><![CDATA[ Learn how to personalize ChatGPT using custom instructions and memory to get more relevant, consistent, and tailored responses. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 10 Apr 2026 21:00:22 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Personalizing, ChatGPT</media:keywords>
</item>

<item>
<title>ChatGPT for finance teams</title>
<link>https://news.jatlink.uk/8569</link>
<guid>https://news.jatlink.uk/8569</guid>
<description><![CDATA[ Learn how finance teams use ChatGPT to streamline reporting, analyze data, improve forecasts, and communicate insights more clearly. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 10 Apr 2026 21:00:22 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>ChatGPT, for, finance, teams</media:keywords>
</item>

<item>
<title>ChatGPT for operations teams</title>
<link>https://news.jatlink.uk/8570</link>
<guid>https://news.jatlink.uk/8570</guid>
<description><![CDATA[ Learn how operations teams use ChatGPT to streamline workflows, improve coordination, standardize processes, and drive faster execution. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 10 Apr 2026 21:00:22 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>ChatGPT, for, operations, teams</media:keywords>
</item>

<item>
<title>ChatGPT for sales teams</title>
<link>https://news.jatlink.uk/8571</link>
<guid>https://news.jatlink.uk/8571</guid>
<description><![CDATA[ Learn how sales teams use ChatGPT to research accounts, personalize outreach, manage deals, and improve pipeline and conversion. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 10 Apr 2026 21:00:22 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>ChatGPT, for, sales, teams</media:keywords>
</item>

<item>
<title>ChatGPT for research</title>
<link>https://news.jatlink.uk/8572</link>
<guid>https://news.jatlink.uk/8572</guid>
<description><![CDATA[ Learn how to use ChatGPT for research to gather sources, analyze information, and create structured, citation-backed insights. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 10 Apr 2026 21:00:22 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>ChatGPT, for, research</media:keywords>
</item>

<item>
<title>Writing with ChatGPT</title>
<link>https://news.jatlink.uk/8573</link>
<guid>https://news.jatlink.uk/8573</guid>
<description><![CDATA[ Learn how to use ChatGPT for writing to draft, revise, and refine content with clear structure, tone, and intent. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 10 Apr 2026 21:00:22 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Writing, with, ChatGPT</media:keywords>
</item>

<item>
<title>Getting started with ChatGPT</title>
<link>https://news.jatlink.uk/8574</link>
<guid>https://news.jatlink.uk/8574</guid>
<description><![CDATA[ Learn how to use ChatGPT, start your first conversation, and discover simple ways to write, brainstorm, and solve problems with AI. ]]></description>
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<pubDate>Fri, 10 Apr 2026 21:00:22 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Getting, started, with, ChatGPT</media:keywords>
</item>

<item>
<title>ChatGPT for marketing teams</title>
<link>https://news.jatlink.uk/8575</link>
<guid>https://news.jatlink.uk/8575</guid>
<description><![CDATA[ Learn how marketing teams use ChatGPT to plan campaigns, generate content, analyze performance, and move from ideas to execution faster. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 10 Apr 2026 21:00:22 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>ChatGPT, for, marketing, teams</media:keywords>
</item>

<item>
<title>AI fundamentals</title>
<link>https://news.jatlink.uk/8576</link>
<guid>https://news.jatlink.uk/8576</guid>
<description><![CDATA[ Learn what AI is, how it works, and how tools like ChatGPT use large language models. A clear, beginner-friendly guide to understanding artificial intelligence. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 10 Apr 2026 21:00:22 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>fundamentals</media:keywords>
</item>

<item>
<title>ChatGPT for managers</title>
<link>https://news.jatlink.uk/8567</link>
<guid>https://news.jatlink.uk/8567</guid>
<description><![CDATA[ Learn how managers use ChatGPT to prepare for conversations, write clear feedback, stay organized, and improve team effectiveness. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 10 Apr 2026 21:00:21 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>ChatGPT, for, managers</media:keywords>
</item>

<item>
<title>CyberAgent moves faster with ChatGPT Enterprise and Codex</title>
<link>https://news.jatlink.uk/8488</link>
<guid>https://news.jatlink.uk/8488</guid>
<description><![CDATA[ CyberAgent uses ChatGPT Enterprise and Codex to securely scale AI adoption, improve quality, and accelerate decisions across advertising, media, and gaming. ]]></description>
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<pubDate>Fri, 10 Apr 2026 01:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>CyberAgent, moves, faster, with, ChatGPT, Enterprise, and, Codex</media:keywords>
</item>

<item>
<title>The future of managing agents at scale: AWS Agent Registry now in preview</title>
<link>https://news.jatlink.uk/8472</link>
<guid>https://news.jatlink.uk/8472</guid>
<description><![CDATA[ Today, we&#039;re announcing AWS Agent Registry (preview) in AgentCore, a single place to discover, share, and reuse AI agents, tools, and agent skills across your enterprise. ]]></description>
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<pubDate>Thu, 09 Apr 2026 22:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>The, future, managing, agents, scale:, AWS, Agent, Registry, now, preview</media:keywords>
</item>

<item>
<title>Understanding Amazon Bedrock model lifecycle</title>
<link>https://news.jatlink.uk/8471</link>
<guid>https://news.jatlink.uk/8471</guid>
<description><![CDATA[ This post shows you how to manage FM transitions in Amazon Bedrock, so you can make sure your AI applications remain operational as models evolve. We discuss the three lifecycle states, how to plan migrations with the new extended access feature, and practical strategies to transition your applications to newer models without disruption. ]]></description>
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<pubDate>Thu, 09 Apr 2026 22:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Understanding, Amazon, Bedrock, model, lifecycle</media:keywords>
</item>

<item>
<title>Embed a live AI browser agent in your React app with Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/8473</link>
<guid>https://news.jatlink.uk/8473</guid>
<description><![CDATA[ This post walks you through three steps: starting a session and generating the Live View URL, rendering the stream in your React application, and wiring up an AI agent that drives the browser while your users watch. At the end, you will have a working sample application you can clone and run. ]]></description>
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<pubDate>Thu, 09 Apr 2026 22:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Embed, live, browser, agent, your, React, app, with, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Introducing stateful MCP client capabilities on Amazon Bedrock AgentCore Runtime</title>
<link>https://news.jatlink.uk/8453</link>
<guid>https://news.jatlink.uk/8453</guid>
<description><![CDATA[ In this post, you will learn how to build stateful MCP servers that request user input during execution, invoke LLM sampling for dynamic content generation, and stream progress updates for long-running tasks. You will see code examples for each capability and deploy a working stateful MCP server to Amazon Bedrock AgentCore Runtime. ]]></description>
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<pubDate>Thu, 09 Apr 2026 18:00:13 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, stateful, MCP, client, capabilities, Amazon, Bedrock, AgentCore, Runtime</media:keywords>
</item>

<item>
<title>Strength and Destiny Collide: ‘Samson: A Tyndalston Story’ Arrives in the Cloud</title>
<link>https://news.jatlink.uk/8435</link>
<guid>https://news.jatlink.uk/8435</guid>
<description><![CDATA[ A timeless story of grit, faith and rebellion takes center stage as Samson: A Tyndalston Story joins the GeForce NOW library today.  The highly anticipated release from Liquid Swords can now be streamed on nearly any device with GeForce NOW bringing cinematic intensity and mythic storytelling to the cloud. Catch it as part of four […] ]]></description>
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<pubDate>Thu, 09 Apr 2026 15:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Strength, and, Destiny, Collide:, ‘Samson:, Tyndalston, Story’, Arrives, the, Cloud</media:keywords>
</item>

<item>
<title>OpenAI Full Fan Mode Contest: Terms &amp;amp; Conditions</title>
<link>https://news.jatlink.uk/8434</link>
<guid>https://news.jatlink.uk/8434</guid>
<description><![CDATA[ Explore the official terms and conditions for the OpenAI Full Fan Mode Contest, including eligibility, entry steps, judging criteria, and prize details. Learn how to participate, submit your entry on Instagram, and win IPL match tickets. ]]></description>
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<pubDate>Thu, 09 Apr 2026 14:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, Full, Fan, Mode, Contest:, Terms, Conditions</media:keywords>
</item>

<item>
<title>The next phase of enterprise AI</title>
<link>https://news.jatlink.uk/8392</link>
<guid>https://news.jatlink.uk/8392</guid>
<description><![CDATA[ OpenAI outlines the next phase of enterprise AI, as adoption accelerates across industries with Frontier, ChatGPT Enterprise, Codex, and company-wide AI agents. ]]></description>
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<pubDate>Thu, 09 Apr 2026 01:00:21 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>The, next, phase, enterprise</media:keywords>
</item>

<item>
<title>Human&amp;in&amp;the&amp;loop constructs for agentic workflows in healthcare and life sciences</title>
<link>https://news.jatlink.uk/8374</link>
<guid>https://news.jatlink.uk/8374</guid>
<description><![CDATA[ In healthcare and life sciences, AI agents help organizations process clinical data, submit regulatory filings, automate medical coding, and accelerate drug development and commercialization. However, the sensitive nature of healthcare data and regulatory requirements like Good Practice (GxP) compliance require human oversight at key decision points. This is where human-in-the-loop (HITL) constructs become essential. In this post, you will learn four practical approaches to implementing human-in-the-loop constructs using AWS services. ]]></description>
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<pubDate>Wed, 08 Apr 2026 22:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Human-in-the-loop, constructs, for, agentic, workflows, healthcare, and, life, sciences</media:keywords>
</item>

<item>
<title>Building intelligent audio search with Amazon Nova Embeddings: A deep dive into semantic audio understanding</title>
<link>https://news.jatlink.uk/8375</link>
<guid>https://news.jatlink.uk/8375</guid>
<description><![CDATA[ This post walks you through understanding audio embeddings, implementing Amazon Nova Multimodal Embeddings, and building a practical search system for your audio content. You&#039;ll learn how embeddings represent audio as vectors, explore the technical capabilities of Amazon Nova, and see hands-on code examples for indexing and querying your audio libraries. By the end, you&#039;ll have the knowledge to deploy production-ready audio search capabilities. ]]></description>
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<pubDate>Wed, 08 Apr 2026 22:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, intelligent, audio, search, with, Amazon, Nova, Embeddings:, deep, dive, into, semantic, audio, understanding</media:keywords>
</item>

<item>
<title>Reinforcement fine&amp;tuning on Amazon Bedrock: Best practices</title>
<link>https://news.jatlink.uk/8376</link>
<guid>https://news.jatlink.uk/8376</guid>
<description><![CDATA[ In this post, we explore where RFT is most effective, using the GSM8K mathematical reasoning dataset as a concrete example. We then walk through best practices for dataset preparation and reward function design, show how to monitor training progress using Amazon Bedrock metrics, and conclude with practical hyperparameter tuning guidelines informed by experiments across multiple models and use cases. ]]></description>
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<pubDate>Wed, 08 Apr 2026 22:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Reinforcement, fine-tuning, Amazon, Bedrock:, Best, practices</media:keywords>
</item>

<item>
<title>Customize Amazon Nova models with Amazon Bedrock fine&amp;tuning</title>
<link>https://news.jatlink.uk/8373</link>
<guid>https://news.jatlink.uk/8373</guid>
<description><![CDATA[ In this post, we&#039;ll walk you through a complete implementation of model fine-tuning in Amazon Bedrock using Amazon Nova models, demonstrating each step through an intent classifier example that achieves superior performance on a domain specific task. Throughout this guide, you&#039;ll learn to prepare high-quality training data that drives meaningful model improvements, configure hyperparameters to optimize learning without overfitting, and deploy your fine-tuned model for improved accuracy and reduced latency. We&#039;ll show you how to evaluate your results using training metrics and loss curves. ]]></description>
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<pubDate>Wed, 08 Apr 2026 22:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Customize, Amazon, Nova, models, with, Amazon, Bedrock, fine-tuning</media:keywords>
</item>

<item>
<title>Introducing the Child Safety Blueprint</title>
<link>https://news.jatlink.uk/8339</link>
<guid>https://news.jatlink.uk/8339</guid>
<description><![CDATA[ Discover OpenAI’s Child Safety Blueprint—a roadmap for building AI responsibly with safeguards, age-appropriate design, and collaboration to protect and empower young people online. ]]></description>
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<pubDate>Wed, 08 Apr 2026 14:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, the, Child, Safety, Blueprint</media:keywords>
</item>

<item>
<title>Manage AI costs with Amazon Bedrock Projects</title>
<link>https://news.jatlink.uk/8297</link>
<guid>https://news.jatlink.uk/8297</guid>
<description><![CDATA[ With Amazon Bedrock Projects, you can attribute inference costs to specific workloads and analyze them in AWS Cost Explorer and AWS Data Exports. In this post, you will learn how to set up Projects end-to-end, from designing a tagging strategy to analyzing costs. ]]></description>
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<pubDate>Wed, 08 Apr 2026 02:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Manage, costs, with, Amazon, Bedrock, Projects</media:keywords>
</item>

<item>
<title>Building real&amp;time conversational podcasts with Amazon Nova 2 Sonic</title>
<link>https://news.jatlink.uk/8267</link>
<guid>https://news.jatlink.uk/8267</guid>
<description><![CDATA[ This post walks through building an automated podcast generator that creates engaging conversations between two AI hosts on any topic, demonstrating the streaming capabilities of Nova Sonic, stage-aware content filtering, and real-time audio generation. ]]></description>
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<pubDate>Tue, 07 Apr 2026 18:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, real-time, conversational, podcasts, with, Amazon, Nova, Sonic</media:keywords>
</item>

<item>
<title>Text&amp;to&amp;SQL solution powered by Amazon Bedrock</title>
<link>https://news.jatlink.uk/8268</link>
<guid>https://news.jatlink.uk/8268</guid>
<description><![CDATA[ In this post, we show you how to build a natural text-to-SQL solution using Amazon Bedrock that transforms business questions into database queries and returns actionable answers. ]]></description>
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<pubDate>Tue, 07 Apr 2026 18:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Text-to-SQL, solution, powered, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>From isolated alerts to contextual intelligence: Agentic maritime anomaly analysis with generative AI</title>
<link>https://news.jatlink.uk/8202</link>
<guid>https://news.jatlink.uk/8202</guid>
<description><![CDATA[ This blog post demonstrates how Windward helps enhance and accelerate alert investigation processes by combining geospatial intelligence with generative AI, enabling analysts to focus on decision-making rather than data collection. ]]></description>
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<pubDate>Mon, 06 Apr 2026 22:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>From, isolated, alerts, contextual, intelligence:, Agentic, maritime, anomaly, analysis, with, generative</media:keywords>
</item>

<item>
<title>Build AI&amp;powered employee onboarding agents with Amazon Quick</title>
<link>https://news.jatlink.uk/8199</link>
<guid>https://news.jatlink.uk/8199</guid>
<description><![CDATA[ In this post, we walk through building a custom HR onboarding agent with Quick. We show how to configure an agent that understands your organization’s processes, connects to your HR systems, and automates common tasks, such as answering new-hire questions and tracking document completion. ]]></description>
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<pubDate>Mon, 06 Apr 2026 22:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, AI-powered, employee, onboarding, agents, with, Amazon, Quick</media:keywords>
</item>

<item>
<title>Accelerate agentic tool calling with serverless model customization in Amazon SageMaker AI</title>
<link>https://news.jatlink.uk/8200</link>
<guid>https://news.jatlink.uk/8200</guid>
<description><![CDATA[ In this post, we walk through how we fine-tuned Qwen 2.5 7B Instruct for tool calling using RLVR. We cover dataset preparation across three distinct agent behaviors, reward function design with tiered scoring, training configuration and results interpretation, evaluation on held-out data with unseen tools, and deployment. ]]></description>
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<pubDate>Mon, 06 Apr 2026 22:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Accelerate, agentic, tool, calling, with, serverless, model, customization, Amazon, SageMaker</media:keywords>
</item>

<item>
<title>Building Intelligent Search with Amazon Bedrock and Amazon OpenSearch for hybrid RAG solutions</title>
<link>https://news.jatlink.uk/8201</link>
<guid>https://news.jatlink.uk/8201</guid>
<description><![CDATA[ In this post, we show how to implement a generative AI agentic assistant that uses both semantic and text-based search using Amazon Bedrock, Amazon Bedrock AgentCore, Strands Agents and Amazon OpenSearch. ]]></description>
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<pubDate>Mon, 06 Apr 2026 22:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, Intelligent, Search, with, Amazon, Bedrock, and, Amazon, OpenSearch, for, hybrid, RAG, solutions</media:keywords>
</item>

<item>
<title>Announcing the OpenAI Safety Fellowship</title>
<link>https://news.jatlink.uk/8198</link>
<guid>https://news.jatlink.uk/8198</guid>
<description><![CDATA[ A pilot program to support independent safety and alignment research and develop the next generation of talent ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Mon, 06 Apr 2026 21:00:17 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Announcing, the, OpenAI, Safety, Fellowship</media:keywords>
</item>

<item>
<title>Connecting MCP servers to Amazon Bedrock AgentCore Gateway using Authorization Code flow</title>
<link>https://news.jatlink.uk/8185</link>
<guid>https://news.jatlink.uk/8185</guid>
<description><![CDATA[ Amazon Bedrock AgentCore Gateway provides a centralized layer for managing how AI agents connect to tools and MCP servers across your organization. In this post, we walk through how to configure AgentCore Gateway to connect to an OAuth-protected MCP server using the Authorization Code flow. ]]></description>
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<pubDate>Mon, 06 Apr 2026 18:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Connecting, MCP, servers, Amazon, Bedrock, AgentCore, Gateway, using, Authorization, Code, flow</media:keywords>
</item>

<item>
<title>Industrial policy for the Intelligence Age</title>
<link>https://news.jatlink.uk/8174</link>
<guid>https://news.jatlink.uk/8174</guid>
<description><![CDATA[ Explore our ambitious, people-first industrial policy ideas for the AI era—focused on expanding opportunity, sharing prosperity, and building resilient institutions as advanced intelligence evolves. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Mon, 06 Apr 2026 13:00:34 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Industrial, policy, for, the, Intelligence, Age</media:keywords>
</item>

<item>
<title>National Robotics Week — Latest Physical AI Research, Breakthroughs and Resources</title>
<link>https://news.jatlink.uk/8073</link>
<guid>https://news.jatlink.uk/8073</guid>
<description><![CDATA[ This National Robotics Week, NVIDIA is highlighting the breakthroughs that are bringing AI into the physical world — as well as the growing wave of robots transforming industries, from agricultural and manufacturing to energy and beyond. Advancements in robot learning, simulation and foundation models are accelerating development, enabling robots to move from training in virtual […] ]]></description>
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<pubDate>Sat, 04 Apr 2026 19:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>National, Robotics, Week, —, Latest, Physical, Research, Breakthroughs, and, Resources</media:keywords>
</item>

<item>
<title>Simulate realistic users to evaluate multi&amp;turn AI agents in Strands Evals</title>
<link>https://news.jatlink.uk/7929</link>
<guid>https://news.jatlink.uk/7929</guid>
<description><![CDATA[ In this post, we explore how ActorSimulator in Strands Evaluations SDK addresses the challenge with structured user simulation that integrates into your evaluation pipeline. ]]></description>
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<pubDate>Thu, 02 Apr 2026 22:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Simulate, realistic, users, evaluate, multi-turn, agents, Strands, Evals</media:keywords>
</item>

<item>
<title>OpenAI acquires TBPN</title>
<link>https://news.jatlink.uk/7927</link>
<guid>https://news.jatlink.uk/7927</guid>
<description><![CDATA[ OpenAI acquires TBPN to accelerate global conversations around AI and support independent media, expanding dialogue with builders, businesses, and the broader tech community. ]]></description>
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<pubDate>Thu, 02 Apr 2026 21:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, acquires, TBPN</media:keywords>
</item>

<item>
<title>Codex now offers more flexible pricing for teams</title>
<link>https://news.jatlink.uk/7928</link>
<guid>https://news.jatlink.uk/7928</guid>
<description><![CDATA[ Codex now includes pay-as-you-go pricing for ChatGPT Business and Enterprise, providing teams a more flexible option to start and scale adoption. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 02 Apr 2026 21:00:12 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Codex, now, offers, more, flexible, pricing, for, teams</media:keywords>
</item>

<item>
<title>From RTX to Spark: NVIDIA Accelerates Gemma 4 for Local Agentic AI</title>
<link>https://news.jatlink.uk/7910</link>
<guid>https://news.jatlink.uk/7910</guid>
<description><![CDATA[ Open models are driving a new wave of on-device AI, extending innovation beyond the cloud to everyday devices. As these models advance, their value increasingly depends on access to local, real-time context that can turn meaningful insights into action.  Designed for this shift, Google’s latest additions to the Gemma 4 family introduce a class of small, fast and omni-capable models built for efficient local execution across a wide range […] ]]></description>
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<pubDate>Thu, 02 Apr 2026 19:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>From, RTX, Spark:, NVIDIA, Accelerates, Gemma, for, Local, Agentic</media:keywords>
</item>

<item>
<title>Control which domains your AI agents can access</title>
<link>https://news.jatlink.uk/7909</link>
<guid>https://news.jatlink.uk/7909</guid>
<description><![CDATA[ In this post, we show you how to configure AWS Network Firewall to restrict AgentCore resources to an allowlist of approved internet domains. This post focuses on domain-level filtering using SNI inspection — the first layer of a defense-in-depth approach. ]]></description>
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<pubDate>Thu, 02 Apr 2026 18:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Control, which, domains, your, agents, can, access</media:keywords>
</item>

<item>
<title>Scaling seismic foundation models on AWS: Distributed training with Amazon SageMaker HyperPod and expanding context windows</title>
<link>https://news.jatlink.uk/7908</link>
<guid>https://news.jatlink.uk/7908</guid>
<description><![CDATA[ This post describes how TGS achieved near-linear scaling for distributed training and expanded context windows for their Vision Transformer-based SFM using Amazon SageMaker HyperPod. This joint solution cut training time from 6 months to just 5 days while enabling analysis of seismic volumes larger than previously possible. ]]></description>
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<pubDate>Thu, 02 Apr 2026 18:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Scaling, seismic, foundation, models, AWS:, Distributed, training, with, Amazon, SageMaker, HyperPod, and, expanding, context, windows</media:keywords>
</item>

<item>
<title>Press Start on April: GeForce NOW Brings 10 Games to the Cloud</title>
<link>https://news.jatlink.uk/7892</link>
<guid>https://news.jatlink.uk/7892</guid>
<description><![CDATA[ No joke — GFN Thursday is skipping the tricks and heading straight into the games. April kicks off with ten new titles, bringing fresh adventures to GeForce NOW, including the launch of Capcom’s highly anticipated PRAGMATA. A dozen new games are available to stream this week, including Arknights: Endfield, which expands the acclaimed series into a full […] ]]></description>
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<pubDate>Thu, 02 Apr 2026 15:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Press, Start, April:, GeForce, NOW, Brings, Games, the, Cloud</media:keywords>
</item>

<item>
<title>Persist session state with filesystem configuration and execute shell commands</title>
<link>https://news.jatlink.uk/7890</link>
<guid>https://news.jatlink.uk/7890</guid>
<description><![CDATA[ In this post, we go through how to use managed session storage to persist your agent&#039;s filesystem state and how to execute shell commands directly in your agent&#039;s environment. ]]></description>
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<pubDate>Thu, 02 Apr 2026 14:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Persist, session, state, with, filesystem, configuration, and, execute, shell, commands</media:keywords>
</item>

<item>
<title>Rocket Close transforms mortgage document processing with Amazon Bedrock and Amazon Textract</title>
<link>https://news.jatlink.uk/7889</link>
<guid>https://news.jatlink.uk/7889</guid>
<description><![CDATA[ Through a strategic partnership with the AWS Generative AI Innovation Center (GenAIIC), Rocket Close developed an intelligent document processing solution that has significantly reduced processing time, making the process 15 times faster. The solution, which uses Amazon Textract for OCR processing and Amazon Bedrock for foundation models (FMs), achieves a strong 90% overall accuracy in document segmentation, classification, and field extraction. ]]></description>
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<pubDate>Thu, 02 Apr 2026 14:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Rocket, Close, transforms, mortgage, document, processing, with, Amazon, Bedrock, and, Amazon, Textract</media:keywords>
</item>

<item>
<title>Automating competitive price intelligence with Amazon Nova Act</title>
<link>https://news.jatlink.uk/7825</link>
<guid>https://news.jatlink.uk/7825</guid>
<description><![CDATA[ This post demonstrates how to build an automated competitive price intelligence system that streamlines manual workflows, supporting teams to make data-driven pricing decisions with real-time market insights. ]]></description>
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<pubDate>Wed, 01 Apr 2026 22:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Automating, competitive, price, intelligence, with, Amazon, Nova, Act</media:keywords>
</item>

<item>
<title>Gradient Labs gives every bank customer an AI account manager</title>
<link>https://news.jatlink.uk/7788</link>
<guid>https://news.jatlink.uk/7788</guid>
<description><![CDATA[ Gradient Labs uses GPT-4.1 and GPT-5.4 mini and nano to power AI agents that automate banking support workflows with low latency and high reliability. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 01 Apr 2026 13:00:33 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Gradient, Labs, gives, every, bank, customer, account, manager</media:keywords>
</item>

<item>
<title>Build reliable AI agents with Amazon Bedrock AgentCore Evaluations</title>
<link>https://news.jatlink.uk/7744</link>
<guid>https://news.jatlink.uk/7744</guid>
<description><![CDATA[ In this post, we introduce Amazon Bedrock AgentCore Evaluations, a fully managed service for assessing AI agent performance across the development lifecycle. We walk through how the service measures agent accuracy across multiple quality dimensions. We explain the two evaluation approaches for development and production and share practical guidance for building agents you can deploy with confidence. ]]></description>
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<pubDate>Wed, 01 Apr 2026 02:00:10 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, reliable, agents, with, Amazon, Bedrock, AgentCore, Evaluations</media:keywords>
</item>

<item>
<title>Game On: Five New Titles Now Streaming on GeForce NOW</title>
<link>https://news.jatlink.uk/7728</link>
<guid>https://news.jatlink.uk/7728</guid>
<description><![CDATA[ That gaming backlog won’t clear itself — GeForce NOW is here to help. Stream the latest titles straight from the cloud across a variety of devices. This week, five new titles are ready to play instantly in the cloud gaming platform’s library. Screamer drifts onto the scene with retro‑racing attitude and pixel‑perfect speed. Plus, Honkai: Star Rail Version […] ]]></description>
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<pubDate>Tue, 31 Mar 2026 23:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Game, On:, Five, New, Titles, Now, Streaming, GeForce, NOW</media:keywords>
</item>

<item>
<title>Building an AI powered system for compliance evidence collection</title>
<link>https://news.jatlink.uk/7726</link>
<guid>https://news.jatlink.uk/7726</guid>
<description><![CDATA[ In this post, we show you how to build a similar system for your organization. You will learn the architecture decisions, implementation details, and deployment process that can help you automate your own compliance workflows. ]]></description>
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<pubDate>Tue, 31 Mar 2026 22:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, powered, system, for, compliance, evidence, collection</media:keywords>
</item>

<item>
<title>Build a FinOps agent using Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/7725</link>
<guid>https://news.jatlink.uk/7725</guid>
<description><![CDATA[ In this post, you learn how to build a FinOps agent using Amazon Bedrock AgentCore that helps your finance team manage AWS costs across multiple accounts. This conversational agent consolidates data from AWS Cost Explorer, AWS Budgets, and AWS Compute Optimizer into a single interface, so your team can ask questions like &quot;What are my top cost drivers this month?&quot; and receive immediate answers. ]]></description>
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<pubDate>Tue, 31 Mar 2026 22:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, FinOps, agent, using, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Accelerating software delivery with agentic QA automation using Amazon Nova Act</title>
<link>https://news.jatlink.uk/7727</link>
<guid>https://news.jatlink.uk/7727</guid>
<description><![CDATA[ In this post, we demonstrate how to implement agentic QA automation through QA Studio, a reference solution built with Amazon Nova Act. You will see how to define tests in natural language that adapt automatically to UI changes, explore the serverless architecture that executes tests reliably at scale, and get step-by-step deployment guidance for your AWS environment. ]]></description>
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<pubDate>Tue, 31 Mar 2026 22:00:05 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Accelerating, software, delivery, with, agentic, automation, using, Amazon, Nova, Act</media:keywords>
</item>

<item>
<title>Accelerating the next phase of AI</title>
<link>https://news.jatlink.uk/7724</link>
<guid>https://news.jatlink.uk/7724</guid>
<description><![CDATA[ OpenAI raises $122 billion in new funding to expand frontier AI globally, invest in next-generation compute, and meet growing demand for ChatGPT, Codex, and enterprise AI. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 31 Mar 2026 22:00:04 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Accelerating, the, next, phase</media:keywords>
</item>

<item>
<title>Efficiency at Scale: NVIDIA, Energy Leaders Accelerating Power‑Flexible AI Factories to Fortify the Grid</title>
<link>https://news.jatlink.uk/7696</link>
<guid>https://news.jatlink.uk/7696</guid>
<description><![CDATA[ CERAWeek — dubbed the Davos of energy — is where policymakers, producers, technologists and financiers gather to discuss how the world powers itself next.  NVIDIA and Emerald AI unveiled at the conference last week a new way forward — treating AI factories not as static power loads but as flexible, intelligent grid assets. This collaboration […] ]]></description>
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<pubDate>Tue, 31 Mar 2026 19:00:07 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Efficiency, Scale:, NVIDIA, Energy, Leaders, Accelerating, Power‑Flexible, Factories, Fortify, the, Grid</media:keywords>
</item>

<item>
<title>Can your governance keep pace with your AI ambitions? AI risk intelligence in the agentic era</title>
<link>https://news.jatlink.uk/7695</link>
<guid>https://news.jatlink.uk/7695</guid>
<description><![CDATA[ Traditional frameworks designed for static deployments cannot address the dynamic interactions that define agentic workloads. AI Risk Intelligence (AIRI), from AWS Generative AI Innovation Center, provides the automated rigor required to govern agents at enterprise scale—a fundamental reimagining of how security, operations, and governance work together systemically. ]]></description>
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<pubDate>Tue, 31 Mar 2026 18:00:09 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Can, your, governance, keep, pace, with, your, ambitions, risk, intelligence, the, agentic, era</media:keywords>
</item>

<item>
<title>AWS launches frontier agents for security testing and cloud operations</title>
<link>https://news.jatlink.uk/7694</link>
<guid>https://news.jatlink.uk/7694</guid>
<description><![CDATA[ I&#039;m excited to announce that AWS Security Agent on-demand penetration testing and AWS DevOps Agent are now generally available, representing a new class of AI capabilities we announced at re:Invent called frontier agents. These autonomous systems work independently to achieve goals, scale massively to tackle concurrent tasks, and run persistently for hours or days without constant human oversight. Together, these agents are changing the way we secure and operate software. In preview, customers and partners report that AWS Security Agent compresses penetration testing timelines from weeks to hours and the AWS DevOps Agent supports 3–5x faster incident resolution. ]]></description>
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<pubDate>Tue, 31 Mar 2026 18:00:08 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>AWS, launches, frontier, agents, for, security, testing, and, cloud, operations</media:keywords>
</item>

<item>
<title>NVIDIA AI Ecosystem Expands as Marvell Joins Forces Through NVLink Fusion</title>
<link>https://news.jatlink.uk/7674</link>
<guid>https://news.jatlink.uk/7674</guid>
<description><![CDATA[ NVIDIA and Marvell Technology, Inc. (NASDAQ: MRVL) today announced a strategic partnership to connect Marvell to the NVIDIA AI factory and AI-RAN ecosystem through NVIDIA NVLink Fusion™, offering customers building on NVIDIA architectures greater choice and flexibility in developing next-generation infrastructure. ]]></description>
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<pubDate>Tue, 31 Mar 2026 15:00:06 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Ecosystem, Expands, Marvell, Joins, Forces, Through, NVLink, Fusion</media:keywords>
</item>

<item>
<title>Deliver hyper&amp;personalized viewer experiences with an agentic AI movie assistant using Amazon Bedrock AgentCore and Amazon Nova Sonic 2.0</title>
<link>https://news.jatlink.uk/7597</link>
<guid>https://news.jatlink.uk/7597</guid>
<description><![CDATA[ In this post, we walk through two use cases that help enhance the user viewing experience using agentic AI tools and frameworks including Strands Agents SDK, Amazon Bedrock AgentCore, and Amazon Nova Sonic 2.0. This agentic AI system uses a Model Context Protocol (MCP) to deliver a personal entertainment concierge that understands user preferences through natural dialogue. ]]></description>
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<pubDate>Mon, 30 Mar 2026 18:00:28 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Deliver, hyper-personalized, viewer, experiences, with, agentic, movie, assistant, using, Amazon, Bedrock, AgentCore, and, Amazon, Nova, Sonic, 2.0</media:keywords>
</item>

<item>
<title>How Ring scales global customer support with Amazon Bedrock Knowledge Bases</title>
<link>https://news.jatlink.uk/7594</link>
<guid>https://news.jatlink.uk/7594</guid>
<description><![CDATA[ In this post, you&#039;ll learn how Ring implemented metadata-driven filtering for Region-specific content, separated content management into ingestion, evaluation and promotion workflows, and achieved cost savings while scaling up. ]]></description>
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<pubDate>Mon, 30 Mar 2026 18:00:27 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Ring, scales, global, customer, support, with, Amazon, Bedrock, Knowledge, Bases</media:keywords>
</item>

<item>
<title>Build a solar flare detection system on SageMaker AI LSTM networks and ESA STIX data</title>
<link>https://news.jatlink.uk/7596</link>
<guid>https://news.jatlink.uk/7596</guid>
<description><![CDATA[ In this post, we show you how to use Amazon SageMaker AI to build and deploy a deep learning model for detecting solar flares using data from the European Space Agency&#039;s STIX instrument. ]]></description>
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<pubDate>Mon, 30 Mar 2026 18:00:27 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, solar, flare, detection, system, SageMaker, LSTM, networks, and, ESA, STIX, data</media:keywords>
</item>

<item>
<title>Reimagine marketing at Volkswagen Group with generative AI</title>
<link>https://news.jatlink.uk/7595</link>
<guid>https://news.jatlink.uk/7595</guid>
<description><![CDATA[ In this post, we explore the challenges that Volkswagen Group faced in producing brand-compliant marketing assets at scale. We walk through how we built a generative AI solution that generates photorealistic vehicle images, validates technical accuracy at the component level, and helps enforce brand guideline compliance alignment across the ten brands. ]]></description>
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<pubDate>Mon, 30 Mar 2026 18:00:27 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Reimagine, marketing, Volkswagen, Group, with, generative</media:keywords>
</item>

<item>
<title>Helping disaster response teams turn AI into action across Asia</title>
<link>https://news.jatlink.uk/7560</link>
<guid>https://news.jatlink.uk/7560</guid>
<description><![CDATA[ AI for Disaster Response in Asia: OpenAI Workshop with Gates Foundation ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Mon, 30 Mar 2026 09:00:27 +0100</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Helping, disaster, response, teams, turn, into, action, across, Asia</media:keywords>
</item>

<item>
<title>STADLER reshapes knowledge work at a 230&amp;year&amp;old company</title>
<link>https://news.jatlink.uk/7362</link>
<guid>https://news.jatlink.uk/7362</guid>
<description><![CDATA[ Learn how STADLER uses ChatGPT to transform knowledge work, saving time and accelerating productivity across 650 employees. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 27 Mar 2026 21:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>STADLER, reshapes, knowledge, work, 230-year-old, company</media:keywords>
</item>

<item>
<title>Run Generative AI inference with Amazon Bedrock in Asia Pacific (New Zealand)</title>
<link>https://news.jatlink.uk/7274</link>
<guid>https://news.jatlink.uk/7274</guid>
<description><![CDATA[ Today, we’re excited to announce that Amazon Bedrock is now available in the Asia Pacific (New Zealand) Region (ap-southeast-6). Customers in New Zealand can now access Anthropic Claude models (Claude Opus 4.5, Opus 4.6, Sonnet 4.5, Sonnet 4.6, and Haiku 4.5) and Amazon (Nova 2 Lite) models directly in the Auckland Region with cross region inference. In this post, we explore how cross-Region inference works from the New Zealand Region, the models available through geographic and global routing, and how to get started with your first API call. We ]]></description>
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<pubDate>Fri, 27 Mar 2026 01:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Run, Generative, inference, with, Amazon, Bedrock, Asia, Pacific, New, Zealand</media:keywords>
</item>

<item>
<title>Accelerating LLM fine&amp;tuning with unstructured data using SageMaker Unified Studio and S3</title>
<link>https://news.jatlink.uk/7258</link>
<guid>https://news.jatlink.uk/7258</guid>
<description><![CDATA[ Last year, AWS announced an integration between Amazon SageMaker Unified Studio and Amazon S3 general purpose buckets. This integration makes it straightforward for teams to use unstructured data stored in Amazon Simple Storage Service (Amazon S3) for machine learning (ML) and data analytics use cases. In this post, we show how to integrate S3 general purpose buckets with Amazon SageMaker Catalog to fine-tune Llama 3.2 11B Vision Instruct for visual question answering (VQA) using Amazon SageMaker Unified Studio. ]]></description>
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<pubDate>Thu, 26 Mar 2026 21:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Accelerating, LLM, fine-tuning, with, unstructured, data, using, SageMaker, Unified, Studio, and</media:keywords>
</item>

<item>
<title>Introducing Amazon Polly Bidirectional Streaming: Real&amp;time speech synthesis for conversational AI</title>
<link>https://news.jatlink.uk/7259</link>
<guid>https://news.jatlink.uk/7259</guid>
<description><![CDATA[ Today, we’re excited to announce the new Bidirectional Streaming API for Amazon Polly, enabling streamlined real-time text-to-speech (TTS) synthesis where you can start sending text and receiving audio simultaneously. This new API is built for conversational AI applications that generate text or audio incrementally, like responses from large language models (LLMs), where users must begin synthesizing audio before the full text is available. ]]></description>
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<pubDate>Thu, 26 Mar 2026 21:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, Amazon, Polly, Bidirectional, Streaming:, Real-time, speech, synthesis, for, conversational</media:keywords>
</item>

<item>
<title>Building age&amp;responsive, context&amp;aware AI with Amazon Bedrock Guardrails</title>
<link>https://news.jatlink.uk/7257</link>
<guid>https://news.jatlink.uk/7257</guid>
<description><![CDATA[ In this post, we walk you through how to implement a fully automated, context-aware AI solution using a serverless architecture on AWS. This solution helps organizations looking to deploy responsible AI systems, align with compliance requirements for vulnerable populations, and help maintain appropriate and trustworthy AI responses across diverse user groups without compromising performance or governance. ]]></description>
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<pubDate>Thu, 26 Mar 2026 21:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, age-responsive, context-aware, with, Amazon, Bedrock, Guardrails</media:keywords>
</item>

<item>
<title>Into the Omniverse: NVIDIA GTC Showcases Virtual Worlds Powering the Physical AI Era</title>
<link>https://news.jatlink.uk/7229</link>
<guid>https://news.jatlink.uk/7229</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. NVIDIA GTC last week showcased a turning point in physical AI: Robots, vehicles and factories are scaling from single use cases and […] ]]></description>
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<pubDate>Thu, 26 Mar 2026 18:00:08 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Into, the, Omniverse:, NVIDIA, GTC, Showcases, Virtual, Worlds, Powering, the, Physical, Era</media:keywords>
</item>

<item>
<title>Game On: Five New Titles Now Streaming on GeForce NOW</title>
<link>https://news.jatlink.uk/7213</link>
<guid>https://news.jatlink.uk/7213</guid>
<description><![CDATA[ That gaming backlog won’t clear itself — GeForce NOW is here to help. Stream the latest titles straight from the cloud across a variety of devices. This week, five new titles are ready to play instantly in the cloud gaming platform’s library. Screamer drifts onto the scene with retro‑racing attitude and pixel‑perfect speed. Plus, Honkai: Star Rail Version […] ]]></description>
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<pubDate>Thu, 26 Mar 2026 14:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Game On: Five New Titles Now Streaming on GeForce NOW</media:keywords>
</item>

<item>
<title>The Future of AI Is Open and Proprietary</title>
<link>https://news.jatlink.uk/7152</link>
<guid>https://news.jatlink.uk/7152</guid>
<description><![CDATA[ AI is the defining technology of our time, quickly becoming core business infrastructure. It’s fueled by a diverse ecosystem of models: large and small, open and proprietary, generalist and specialist.  This variety is essential for a future where every application will be powered by AI, every country will build it and every company will use […] ]]></description>
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<pubDate>Wed, 25 Mar 2026 22:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>The, Future, Open, and, Proprietary</media:keywords>
</item>

<item>
<title>Unlocking video insights at scale with Amazon Bedrock multimodal models</title>
<link>https://news.jatlink.uk/7149</link>
<guid>https://news.jatlink.uk/7149</guid>
<description><![CDATA[ In this post, we explore how the multimodal foundation models (FMs) of Amazon Bedrock enable scalable video understanding through three distinct architectural approaches. Each approach is designed for different use cases and cost-performance trade-offs. ]]></description>
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<pubDate>Wed, 25 Mar 2026 21:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Unlocking, video, insights, scale, with, Amazon, Bedrock, multimodal, models</media:keywords>
</item>

<item>
<title>Deploy voice agents with Pipecat and Amazon Bedrock AgentCore Runtime – Part 1</title>
<link>https://news.jatlink.uk/7150</link>
<guid>https://news.jatlink.uk/7150</guid>
<description><![CDATA[ In this series of posts, you will learn how streaming architectures help address these challenges using Pipecat voice agents on Amazon Bedrock AgentCore Runtime. In Part 1, you will learn how to deploy Pipecat voice agents on AgentCore Runtime using different network transport approaches including WebSockets, WebRTC and telephony integration, with practical deployment guidance and code samples. ]]></description>
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<pubDate>Wed, 25 Mar 2026 21:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Deploy, voice, agents, with, Pipecat, and, Amazon, Bedrock, AgentCore, Runtime, –, Part</media:keywords>
</item>

<item>
<title>Reinforcement fine&amp;tuning on Amazon Bedrock with OpenAI&amp;Compatible APIs: a technical walkthrough</title>
<link>https://news.jatlink.uk/7151</link>
<guid>https://news.jatlink.uk/7151</guid>
<description><![CDATA[ In this post, we walk through the end-to-end workflow of using RFT on Amazon Bedrock with OpenAI-compatible APIs: from setting up authentication, to deploying a Lambda-based reward function, to kicking off a training job and running on-demand inference on your fine-tuned model. ]]></description>
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<pubDate>Wed, 25 Mar 2026 21:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Reinforcement, fine-tuning, Amazon, Bedrock, with, OpenAI-Compatible, APIs:, technical, walkthrough</media:keywords>
</item>

<item>
<title>Inside our approach to the Model Spec</title>
<link>https://news.jatlink.uk/7147</link>
<guid>https://news.jatlink.uk/7147</guid>
<description><![CDATA[ Learn how OpenAI’s Model Spec serves as a public framework for model behavior, balancing safety, user freedom, and accountability as AI systems advance. ]]></description>
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<pubDate>Wed, 25 Mar 2026 20:00:34 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Inside, our, approach, the, Model, Spec</media:keywords>
</item>

<item>
<title>Introducing the OpenAI Safety Bug Bounty program</title>
<link>https://news.jatlink.uk/7148</link>
<guid>https://news.jatlink.uk/7148</guid>
<description><![CDATA[ OpenAI launches a Safety Bug Bounty program to identify AI abuse and safety risks, including agentic vulnerabilities, prompt injection, and data exfiltration. ]]></description>
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<pubDate>Wed, 25 Mar 2026 20:00:34 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, the, OpenAI, Safety, Bug, Bounty, program</media:keywords>
</item>

<item>
<title>Blowing Off Steam: How Power&amp;Flexible AI Factories Can Stabilize the Global Energy Grid</title>
<link>https://news.jatlink.uk/7101</link>
<guid>https://news.jatlink.uk/7101</guid>
<description><![CDATA[ At the half-time whistle of the UEFA EURO 2020 round of 16 football match between England and Germany, millions of viewers stepped away from their screens in the U.K. to do the same thing at the same time — turn on their kettles. National Grid, which provides electricity for England and Wales, saw a demand […] ]]></description>
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<pubDate>Wed, 25 Mar 2026 14:00:08 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Blowing, Off, Steam:, How, Power-Flexible, Factories, Can, Stabilize, the, Global, Energy, Grid</media:keywords>
</item>

<item>
<title>Accelerating custom entity recognition with Claude tool use in Amazon Bedrock</title>
<link>https://news.jatlink.uk/7046</link>
<guid>https://news.jatlink.uk/7046</guid>
<description><![CDATA[ This post introduces Claude Tool use in Amazon Bedrock which uses the power of large language models (LLMs) to perform dynamic, adaptable entity recognition without extensive setup or training. ]]></description>
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<pubDate>Tue, 24 Mar 2026 21:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Accelerating, custom, entity, recognition, with, Claude, tool, use, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Deploy SageMaker AI inference endpoints with set GPU capacity using training plans</title>
<link>https://news.jatlink.uk/7045</link>
<guid>https://news.jatlink.uk/7045</guid>
<description><![CDATA[ In this post, we walk through how to search for available p-family GPU capacity, create a training plan reservation for inference, and deploy a SageMaker AI inference endpoint on that reserved capacity. We follow a data scientist&#039;s journey as they reserve capacity for model evaluation and manage the endpoint throughout the reservation lifecycle. ]]></description>
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<pubDate>Tue, 24 Mar 2026 21:00:05 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Deploy, SageMaker, inference, endpoints, with, set, GPU, capacity, using, training, plans</media:keywords>
</item>

<item>
<title>Helping developers build safer AI experiences for teens</title>
<link>https://news.jatlink.uk/7044</link>
<guid>https://news.jatlink.uk/7044</guid>
<description><![CDATA[ OpenAI releases prompt-based teen safety policies for developers using gpt-oss-safeguard, helping moderate age-specific risks in AI systems. ]]></description>
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<pubDate>Tue, 24 Mar 2026 20:00:19 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Helping, developers, build, safer, experiences, for, teens</media:keywords>
</item>

<item>
<title>Update on the OpenAI Foundation</title>
<link>https://news.jatlink.uk/7017</link>
<guid>https://news.jatlink.uk/7017</guid>
<description><![CDATA[ The OpenAI Foundation announces plans to invest at least $1 billion in curing diseases, economic opportunity, AI resilience, and community programs. ]]></description>
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<pubDate>Tue, 24 Mar 2026 16:00:39 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Update, the, OpenAI, Foundation</media:keywords>
</item>

<item>
<title>Powering product discovery in ChatGPT</title>
<link>https://news.jatlink.uk/7018</link>
<guid>https://news.jatlink.uk/7018</guid>
<description><![CDATA[ ChatGPT introduces richer, visually immersive shopping powered by the Agentic Commerce Protocol, enabling product discovery, side-by-side comparisons, and merchant integration. ]]></description>
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<pubDate>Tue, 24 Mar 2026 16:00:39 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Powering, product, discovery, ChatGPT</media:keywords>
</item>

<item>
<title>Advancing Open Source AI, NVIDIA Donates Dynamic Resource Allocation Driver for GPUs to Kubernetes Community</title>
<link>https://news.jatlink.uk/6982</link>
<guid>https://news.jatlink.uk/6982</guid>
<description><![CDATA[ Artificial intelligence has rapidly emerged as one of the most critical workloads in modern computing. For the vast majority of enterprises, this workload runs on Kubernetes, an open source platform that automates the deployment, scaling and management of containerized applications. To help the global developer community manage high-performance AI infrastructure with greater transparency and efficiency, […] ]]></description>
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<pubDate>Tue, 24 Mar 2026 10:00:05 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Advancing, Open, Source, AI, NVIDIA, Donates, Dynamic, Resource, Allocation, Driver, for, GPUs, Kubernetes, Community</media:keywords>
</item>

<item>
<title>How Autonomous AI Agents Become Secure by Design With NVIDIA OpenShell</title>
<link>https://news.jatlink.uk/6916</link>
<guid>https://news.jatlink.uk/6916</guid>
<description><![CDATA[ Autonomous agents mark a new inflection point in AI. Systems are no longer limited to generating responses or reasoning through tasks. They can take action: Agents can read files, use tools, write and run code, and execute workflows across enterprise systems, all while expanding their own capabilities.  Application-layer risk grows exponentially when agents continuously improve […] ]]></description>
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<pubDate>Mon, 23 Mar 2026 18:00:08 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Autonomous, Agents, Become, Secure, Design, With, NVIDIA, OpenShell</media:keywords>
</item>

<item>
<title>Overcoming LLM hallucinations in regulated industries: Artificial Genius’s deterministic models on Amazon Nova</title>
<link>https://news.jatlink.uk/6915</link>
<guid>https://news.jatlink.uk/6915</guid>
<description><![CDATA[ In this post, we’re excited to showcase how AWS ISV Partner Artificial Genius is using Amazon SageMaker AI and Amazon Nova to deliver a solution that is probabilistic on input but deterministic on output, helping to enable safe, enterprise-grade adoption. ]]></description>
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<pubDate>Mon, 23 Mar 2026 17:00:08 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Overcoming, LLM, hallucinations, regulated, industries:, Artificial, Genius’s, deterministic, models, Amazon, Nova</media:keywords>
</item>

<item>
<title>How Reco transforms security alerts using Amazon Bedrock</title>
<link>https://news.jatlink.uk/6913</link>
<guid>https://news.jatlink.uk/6913</guid>
<description><![CDATA[ In this blog post, we show you how Reco implemented Amazon Bedrock to help transform security alerts and achieve significant improvements in incident response times. ]]></description>
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<pubDate>Mon, 23 Mar 2026 17:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Reco, transforms, security, alerts, using, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Integrating Amazon Bedrock AgentCore with Slack</title>
<link>https://news.jatlink.uk/6914</link>
<guid>https://news.jatlink.uk/6914</guid>
<description><![CDATA[ In this post, we demonstrate how to build a Slack integration using AWS Cloud Development Kit (AWS CDK). You will learn how to deploy the infrastructure with three specialized AWS Lambda functions, configure event subscriptions properly to handle Slack&#039;s security requirements, and implement conversation management patterns that work for many agent use cases. ]]></description>
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<pubDate>Mon, 23 Mar 2026 17:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Integrating, Amazon, Bedrock, AgentCore, with, Slack</media:keywords>
</item>

<item>
<title>Creating with Sora Safely</title>
<link>https://news.jatlink.uk/6912</link>
<guid>https://news.jatlink.uk/6912</guid>
<description><![CDATA[ To address the novel safety challenges posed by a state-of-the-art video model as well as a new social creation platform, we’ve built Sora 2 and the Sora app with safety at the foundation. Our approach is anchored in concrete protections. ]]></description>
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<pubDate>Mon, 23 Mar 2026 16:00:33 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Creating, with, Sora, Safely</media:keywords>
</item>

<item>
<title>NVIDIA and Emerald AI Join Leading Energy Companies to Pioneer Flexible AI Factories as Grid Assets</title>
<link>https://news.jatlink.uk/6895</link>
<guid>https://news.jatlink.uk/6895</guid>
<description><![CDATA[ Collaboration Combines AI Factory Design, Energy Resources and Flexibility to Speed Time to Power and Support Grid ReliabilityHOUSTON, March 23, 2026 (GLOBE NEWSWIRE) -- CERAWeek 2026 -- ... ]]></description>
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<pubDate>Mon, 23 Mar 2026 14:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, Emerald, Join, Leading, Energy, Companies, Pioneer, Flexible, Factories, Grid, Assets</media:keywords>
</item>

<item>
<title>Enforce data residency with Amazon Quick extensions for Microsoft Teams</title>
<link>https://news.jatlink.uk/6596</link>
<guid>https://news.jatlink.uk/6596</guid>
<description><![CDATA[ In this post, we will show you how to enforce data residency when deploying Amazon Quick Microsoft Teams extensions across multiple AWS Regions. You will learn how to configure multi-Region Amazon Quick extensions that automatically route users to AWS Region-appropriate resources, helping keep compliance with GDPR and other data sovereignty requirements. ]]></description>
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<pubDate>Thu, 19 Mar 2026 21:00:10 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Enforce, data, residency, with, Amazon, Quick, extensions, for, Microsoft, Teams</media:keywords>
</item>

<item>
<title>Introducing V&amp;RAG: revolutionizing AI&amp;powered video production with Retrieval Augmented Generation</title>
<link>https://news.jatlink.uk/6594</link>
<guid>https://news.jatlink.uk/6594</guid>
<description><![CDATA[ This post introduces Video Retrieval-Augmented Generation (V-RAG), an approach to help improve video content creation. By combining retrieval augmented generation with advanced video AI models, V-RAG offers an efficient, and reliable solution for generating AI videos. ]]></description>
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<pubDate>Thu, 19 Mar 2026 21:00:09 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, V-RAG:, revolutionizing, AI-powered, video, production, with, Retrieval, Augmented, Generation</media:keywords>
</item>

<item>
<title>Enhanced metrics for Amazon SageMaker AI endpoints: deeper visibility for better performance</title>
<link>https://news.jatlink.uk/6595</link>
<guid>https://news.jatlink.uk/6595</guid>
<description><![CDATA[ SageMaker AI endpoints now support enhanced metrics with configurable publishing frequency. This launch provides the granular visibility needed to monitor, troubleshoot, and improve your production endpoints. ]]></description>
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<pubDate>Thu, 19 Mar 2026 21:00:09 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Enhanced, metrics, for, Amazon, SageMaker, endpoints:, deeper, visibility, for, better, performance</media:keywords>
</item>

<item>
<title>Run NVIDIA Nemotron 3 Super on Amazon Bedrock</title>
<link>https://news.jatlink.uk/6592</link>
<guid>https://news.jatlink.uk/6592</guid>
<description><![CDATA[ This post explores the technical characteristics of the Nemotron 3 Super model and discusses potential application use cases. It also provides technical guidance to get started using this model for your generative AI applications within the Amazon Bedrock environment. ]]></description>
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<pubDate>Thu, 19 Mar 2026 21:00:08 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Run, NVIDIA, Nemotron, Super, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Use RAG for video generation using Amazon Bedrock and Amazon Nova Reel</title>
<link>https://news.jatlink.uk/6593</link>
<guid>https://news.jatlink.uk/6593</guid>
<description><![CDATA[ In this post, we explore our approach to video generation through VRAG, transforming natural language text prompts and images into grounded, high-quality videos. Through this fully automated solution, you can generate realistic, AI-powered video sequences from structured text and image inputs, streamlining the video creation process. ]]></description>
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<pubDate>Thu, 19 Mar 2026 21:00:08 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Use, RAG, for, video, generation, using, Amazon, Bedrock, and, Amazon, Nova, Reel</media:keywords>
</item>

<item>
<title>How we monitor internal coding agents for misalignment</title>
<link>https://news.jatlink.uk/6591</link>
<guid>https://news.jatlink.uk/6591</guid>
<description><![CDATA[ How OpenAI uses chain-of-thought monitoring to study misalignment in internal coding agents—analyzing real-world deployments to detect risks and strengthen AI safety safeguards. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 19 Mar 2026 20:00:19 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, monitor, internal, coding, agents, for, misalignment</media:keywords>
</item>

<item>
<title>OpenAI to acquire Astral</title>
<link>https://news.jatlink.uk/6561</link>
<guid>https://news.jatlink.uk/6561</guid>
<description><![CDATA[ Accelerates Codex growth to power the next generation of Python developer tools ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 19 Mar 2026 16:00:27 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, acquire, Astral</media:keywords>
</item>

<item>
<title>Smooth Moves: 90 Frames&amp;Per&amp;Second Virtual Reality Arrives on GeForce NOW</title>
<link>https://news.jatlink.uk/6543</link>
<guid>https://news.jatlink.uk/6543</guid>
<description><![CDATA[ It’s a double feature on GFN Thursday. This week, GeForce NOW offers smoother sights in virtual reality (VR) and a sprawling new land to conquer. Streaming at 90 frames per second (fps) comes to supported VR headsets. And Crimson Desert, which recently surpassed 3 million wishlist additions on Steam, debuts in the cloud with GeForce […] ]]></description>
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<pubDate>Thu, 19 Mar 2026 14:00:10 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Smooth, Moves:, Frames-Per-Second, Virtual, Reality, Arrives, GeForce, NOW</media:keywords>
</item>

<item>
<title>OpenAI Japan announces Japan Teen Safety Blueprint to put teen safety first</title>
<link>https://news.jatlink.uk/6493</link>
<guid>https://news.jatlink.uk/6493</guid>
<description><![CDATA[ OpenAI Japan announces the Japan Teen Safety Blueprint, introducing stronger age protections, parental controls, and well-being safeguards for teens using generative AI. ]]></description>
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<pubDate>Wed, 18 Mar 2026 20:00:21 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, Japan, announces, Japan, Teen, Safety, Blueprint, put, teen, safety, first</media:keywords>
</item>

<item>
<title>How Bark.com and AWS collaborated to build a scalable video generation solution</title>
<link>https://news.jatlink.uk/6465</link>
<guid>https://news.jatlink.uk/6465</guid>
<description><![CDATA[ Working with the AWS Generative AI Innovation Center, Bark developed an AI-powered content generation solution that demonstrated a substantial reduction in production time in experimental trials while improving content quality scores. In this post, we walk you through the technical architecture we built, the key design decisions that contributed to success, and the measurable results achieved, giving you a blueprint for implementing similar solutions. ]]></description>
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<pubDate>Wed, 18 Mar 2026 17:00:08 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Bark.com, and, AWS, collaborated, build, scalable, video, generation, solution</media:keywords>
</item>

<item>
<title>Migrate from Amazon Nova 1 to Amazon Nova 2 on Amazon Bedrock</title>
<link>https://news.jatlink.uk/6466</link>
<guid>https://news.jatlink.uk/6466</guid>
<description><![CDATA[ In this post, you will learn how to migrate from Nova 1 to Nova 2 on Amazon Bedrock. We cover model mapping, API changes, code examples using the Converse API, guidance on configuring new capabilities, and a summary of use cases. We conclude with a migration checklist to help you plan and execute your transition. ]]></description>
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<pubDate>Wed, 18 Mar 2026 17:00:08 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Migrate, from, Amazon, Nova, Amazon, Nova, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Evaluating AI agents for production: A practical guide to Strands Evals</title>
<link>https://news.jatlink.uk/6463</link>
<guid>https://news.jatlink.uk/6463</guid>
<description><![CDATA[ In this post, we show how to evaluate AI agents systematically using Strands Evals. We walk through the core concepts, built-in evaluators, multi-turn simulation capabilities and practical approaches and patterns for integration. ]]></description>
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<pubDate>Wed, 18 Mar 2026 17:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Evaluating, agents, for, production:, practical, guide, Strands, Evals</media:keywords>
</item>

<item>
<title>Introducing Nova Forge SDK, a seamless way to customize Nova models for enterprise AI</title>
<link>https://news.jatlink.uk/6462</link>
<guid>https://news.jatlink.uk/6462</guid>
<description><![CDATA[ Today, we are launching Nova Forge SDK that makes LLM customization accessible, empowering teams to harness the full potential of language models without the challenges of dependency management, image selection, and recipe configuration and eventually lowering the barrier of entry. ]]></description>
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<pubDate>Wed, 18 Mar 2026 17:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, Nova, Forge, SDK, seamless, way, customize, Nova, models, for, enterprise</media:keywords>
</item>

<item>
<title>Build an AI&amp;Powered A/B testing engine using Amazon Bedrock</title>
<link>https://news.jatlink.uk/6464</link>
<guid>https://news.jatlink.uk/6464</guid>
<description><![CDATA[ This post shows you how to build an AI-powered A/B testing engine using Amazon Bedrock, Amazon Elastic Container Service, Amazon DynamoDB, and the Model Context Protocol (MCP). The system improves traditional A/B testing by analyzing user context  to make smarter variant assignment decisions during the experiment. ]]></description>
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<pubDate>Wed, 18 Mar 2026 17:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, AI-Powered, AB, testing, engine, using, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>Kick off Nova customization experiments using Nova Forge SDK</title>
<link>https://news.jatlink.uk/6461</link>
<guid>https://news.jatlink.uk/6461</guid>
<description><![CDATA[ In this post, we walk you through the process of using the Nova Forge SDK to train an Amazon Nova model using Amazon SageMaker AI Training Jobs. ]]></description>
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<pubDate>Wed, 18 Mar 2026 17:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Kick, off, Nova, customization, experiments, using, Nova, Forge, SDK</media:keywords>
</item>

<item>
<title>From Simulation to Production: How to Build Robots With AI</title>
<link>https://news.jatlink.uk/6439</link>
<guid>https://news.jatlink.uk/6439</guid>
<description><![CDATA[ The latest open models and frameworks from NVIDIA bring together simulation, robot learning and embedded compute to accelerate cloud-to-robot workflows. ]]></description>
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<pubDate>Wed, 18 Mar 2026 14:00:10 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>From, Simulation, Production:, How, Build, Robots, With</media:keywords>
</item>

<item>
<title>Equipping workers with insights about compensation</title>
<link>https://news.jatlink.uk/6372</link>
<guid>https://news.jatlink.uk/6372</guid>
<description><![CDATA[ New research shows Americans send nearly 3 million daily messages to ChatGPT asking about compensation and earnings, helping close the wage information gap. ]]></description>
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<pubDate>Tue, 17 Mar 2026 21:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Equipping, workers, with, insights, about, compensation</media:keywords>
</item>

<item>
<title>Introducing GPT&amp;5.4 mini and nano</title>
<link>https://news.jatlink.uk/6371</link>
<guid>https://news.jatlink.uk/6371</guid>
<description><![CDATA[ GPT-5.4 mini and nano are smaller, faster versions of GPT-5.4 optimized for coding, tool use, multimodal reasoning, and high-volume API and sub-agent workloads. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 17 Mar 2026 20:00:28 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, GPT-5.4, mini, and, nano</media:keywords>
</item>

<item>
<title>More Than Meets the Eye: NVIDIA RTX&amp;Accelerated Computers Now Connect Directly to Apple Vision Pro</title>
<link>https://news.jatlink.uk/6348</link>
<guid>https://news.jatlink.uk/6348</guid>
<description><![CDATA[ NVIDIA and Apple’s collaboration brings native integration of NVIDIA CloudXR 6.0 to visionOS, securely delivering NVIDIA RTX-powered simulators and professional 3D graphics applications — like Immersive for Autodesk VRED on Innoactive’s XR streaming solutions — to Apple Vision Pro. ]]></description>
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<pubDate>Tue, 17 Mar 2026 18:00:17 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>More, Than, Meets, the, Eye:, NVIDIA, RTX-Accelerated, Computers, Now, Connect, Directly, Apple, Vision, Pro</media:keywords>
</item>

<item>
<title>NVIDIA, Telecom Leaders Build AI Grids to Optimize Inference on Distributed Networks</title>
<link>https://news.jatlink.uk/6349</link>
<guid>https://news.jatlink.uk/6349</guid>
<description><![CDATA[ As AI‑native applications scale to more users, agents and devices, the telecommunications network is becoming the next frontier for distributing AI.  At NVIDIA GTC 2026, leading operators in the U.S. and Asia showed that this shift is underway, announcing AI grids — geographically distributed and interconnected AI infrastructure — using their network footprint to power […] ]]></description>
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<pubDate>Tue, 17 Mar 2026 18:00:17 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Telecom, Leaders, Build, Grids, Optimize, Inference, Distributed, Networks</media:keywords>
</item>

<item>
<title>AWS AI League: Atos fine&amp;tunes approach to AI education</title>
<link>https://news.jatlink.uk/6347</link>
<guid>https://news.jatlink.uk/6347</guid>
<description><![CDATA[ In this post, we’ll explore how Atos used the AWS AI League to help accelerate AI education across 400+ participants, highlight the tangible benefits of gamified, experiential learning, and share actionable insights you can apply to your own AI enablement programs. ]]></description>
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<pubDate>Tue, 17 Mar 2026 17:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>AWS, League:, Atos, fine-tunes, approach, education</media:keywords>
</item>

<item>
<title>GTC Spotlights NVIDIA RTX PCs and DGX Sparks Running Latest Open Models and AI Agents Locally</title>
<link>https://news.jatlink.uk/6331</link>
<guid>https://news.jatlink.uk/6331</guid>
<description><![CDATA[ The paradigm of consumer computing has revolved around the concept of a personal device — from PCs to smartphones and tablets. Now, generative AI — particularly OpenClaw — has introduced a new category: agent computers. These devices, like the NVIDIA DGX Spark desktop AI supercomputer or dedicated NVIDIA RTX PCs, are ideal for running personal […] ]]></description>
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<pubDate>Tue, 17 Mar 2026 14:00:19 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>GTC, Spotlights, NVIDIA, RTX, PCs, and, DGX, Sparks, Running, Latest, Open, Models, and, Agents, Locally</media:keywords>
</item>

<item>
<title>Snap Decisions: How Open Libraries for Accelerated Data Processing Boost A/B Testing for Snapchat</title>
<link>https://news.jatlink.uk/6332</link>
<guid>https://news.jatlink.uk/6332</guid>
<description><![CDATA[ The features on social media apps like Snapchat evolve nearly as fast as what’s trending. To keep pace, its parent company Snap has adopted open data processing libraries from NVIDIA on Google Cloud services to boost development.  Every new feature rolled out to Snapchat’s more than 940 million monthly active users goes through a set […] ]]></description>
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<pubDate>Tue, 17 Mar 2026 14:00:19 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Snap, Decisions:, How, Open, Libraries, for, Accelerated, Data, Processing, Boost, AB, Testing, for, Snapchat</media:keywords>
</item>

<item>
<title>NVIDIA and Global Robotics Leaders Take Physical AI to the Real World</title>
<link>https://news.jatlink.uk/6260</link>
<guid>https://news.jatlink.uk/6260</guid>
<description><![CDATA[ NVIDIA is partnering with the global robotics ecosystem — including leading robot brain developers, industrial robot giants and humanoid pioneers — to power production-scale physical AI. NVIDIA also unveiled new NVIDIA Isaac™ simulation frameworks and new NVIDIA Cosmos™ and NVIDIA Isaac GR00T open models for the industry to develop, train and deploy the next generation of intelligent robots. ]]></description>
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<pubDate>Mon, 16 Mar 2026 22:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, Global, Robotics, Leaders, Take, Physical, the, Real, World</media:keywords>
</item>

<item>
<title>NVIDIA and Global Industrial Software Giants Bring Design, Engineering and Manufacturing Into the AI Era</title>
<link>https://news.jatlink.uk/6261</link>
<guid>https://news.jatlink.uk/6261</guid>
<description><![CDATA[ NVIDIA today announced it is working with global industrial software leaders Cadence, Dassault Systèmes, PTC, Siemens and Synopsys to bring NVIDIA CUDA-X™, NVIDIA Omniverse™ and GPU-accelerated industrial software and tools to FANUC, HD Hyundai, Honda, JLR, KION, Mercedes-Benz, MediaTek, PepsiCo, Samsung, SK hynix and TSMC to accelerate design, engineering and manufacturing. ]]></description>
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<pubDate>Mon, 16 Mar 2026 22:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, Global, Industrial, Software, Giants, Bring, Design, Engineering, and, Manufacturing, Into, the, Era</media:keywords>
</item>

<item>
<title>Hyundai Motor, Kia and NVIDIA Expand Strategic Partnership for Next&amp;Generation Autonomous Driving Technology</title>
<link>https://news.jatlink.uk/6262</link>
<guid>https://news.jatlink.uk/6262</guid>
<description><![CDATA[ NVIDIA today announced an expanded collaboration with Hyundai Motor Company and Kia Corporation to advance next-generation autonomous driving technologies built on the NVIDIA DRIVE Hyperion™ autonomous vehicle development platform. ]]></description>
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<pubDate>Mon, 16 Mar 2026 22:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Hyundai, Motor, Kia, and, NVIDIA, Expand, Strategic, Partnership, for, Next-Generation, Autonomous, Driving, Technology</media:keywords>
</item>

<item>
<title>NVIDIA Announces Open Physical AI Data Factory Blueprint to Accelerate Robotics, Vision AI Agents and Autonomous Vehicle Development</title>
<link>https://news.jatlink.uk/6263</link>
<guid>https://news.jatlink.uk/6263</guid>
<description><![CDATA[ NVIDIA today announced the NVIDIA Physical AI Data Factory Blueprint, an open reference architecture that unifies and automates how training data is generated, augmented and evaluated, reducing the costs, time and complexity of training physical AI systems at scale. ]]></description>
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<pubDate>Mon, 16 Mar 2026 22:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Announces, Open, Physical, Data, Factory, Blueprint, Accelerate, Robotics, Vision, Agents, and, Autonomous, Vehicle, Development</media:keywords>
</item>

<item>
<title>NVIDIA Enters Production With Dynamo, the Broadly Adopted Inference Operating System for AI Factories</title>
<link>https://news.jatlink.uk/6264</link>
<guid>https://news.jatlink.uk/6264</guid>
<description><![CDATA[ NVIDIA today announced NVIDIA Dynamo 1.0, open source software for generative and agentic inference at scale, with widespread global adoption. ]]></description>
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<pubDate>Mon, 16 Mar 2026 22:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Enters, Production, With, Dynamo, the, Broadly, Adopted, Inference, Operating, System, for, Factories</media:keywords>
</item>

<item>
<title>Roche Scales NVIDIA AI Factories Globally to Accelerate Drug Discovery, Diagnostic Solutions and Manufacturing Breakthroughs</title>
<link>https://news.jatlink.uk/6265</link>
<guid>https://news.jatlink.uk/6265</guid>
<description><![CDATA[ Roche&#039;s new deployment spans more than 3,500 NVIDIA Blackwell GPUs across its worldwide operations and embedded across the entire value chain, massively scaling R&amp;D productivity, next-generation diagnostics and manufacturing efficiencies. ]]></description>
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<pubDate>Mon, 16 Mar 2026 22:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Roche, Scales, NVIDIA, Factories, Globally, Accelerate, Drug, Discovery, Diagnostic, Solutions, and, Manufacturing, Breakthroughs</media:keywords>
</item>

<item>
<title>Adobe and NVIDIA Announce Strategic Partnership to Deliver the Next Generation of Firefly Models and Creative, Marketing and Agentic Workflows</title>
<link>https://news.jatlink.uk/6266</link>
<guid>https://news.jatlink.uk/6266</guid>
<description><![CDATA[ Adobe and NVIDIA today announced a strategic partnership to accelerate AI-powered creation, production and personalization, including delivering the next generation of foundational Adobe Firefly models and agentic workflows. ]]></description>
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<pubDate>Mon, 16 Mar 2026 22:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Adobe, and, NVIDIA, Announce, Strategic, Partnership, Deliver, the, Next, Generation, Firefly, Models, and, Creative, Marketing, and, Agentic, Workflows</media:keywords>
</item>

<item>
<title>NVIDIA, T&amp;Mobile and Partners Integrate Physical AI Applications on AI&amp;RAN&amp;Ready Infrastructure</title>
<link>https://news.jatlink.uk/6267</link>
<guid>https://news.jatlink.uk/6267</guid>
<description><![CDATA[ NVIDIA and T-Mobile today announced they are working with Nokia and a growing ecosystem of developers to bring physical AI applications over distributed edge AI networks. ]]></description>
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<pubDate>Mon, 16 Mar 2026 22:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, T-Mobile, and, Partners, Integrate, Physical, Applications, AI-RAN-Ready, Infrastructure</media:keywords>
</item>

<item>
<title>BYD, Geely, Isuzu and Nissan Adopt NVIDIA DRIVE Hyperion for Level 4 Vehicles</title>
<link>https://news.jatlink.uk/6268</link>
<guid>https://news.jatlink.uk/6268</guid>
<description><![CDATA[ News Summary:


	BYD, Geely, Isuzu and Nissan are building level 4-ready vehicles on the NVIDIA DRIVE Hyperion platform.
	​​NVIDIA full-stack robotaxis to launch with Uber across 28 markets by... ]]></description>
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<pubDate>Mon, 16 Mar 2026 22:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>BYD, Geely, Isuzu, and, Nissan, Adopt, NVIDIA, DRIVE, Hyperion, for, Level, Vehicles</media:keywords>
</item>

<item>
<title>NVIDIA Ignites the Next Industrial Revolution in Knowledge Work With Open Agent Development Platform</title>
<link>https://news.jatlink.uk/6269</link>
<guid>https://news.jatlink.uk/6269</guid>
<description><![CDATA[ NVIDIA Agent Toolkit Equips Enterprises to Build and Run AI AgentsNews Summary: NVIDIA Agent Toolkit includes NVIDIA OpenShell open source runtime for building self-evolving agents and claws ... ]]></description>
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<pubDate>Mon, 16 Mar 2026 22:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Ignites, the, Next, Industrial, Revolution, Knowledge, Work, With, Open, Agent, Development, Platform</media:keywords>
</item>

<item>
<title>AWS and NVIDIA deepen strategic collaboration to accelerate AI from pilot to production</title>
<link>https://news.jatlink.uk/6259</link>
<guid>https://news.jatlink.uk/6259</guid>
<description><![CDATA[ Today at NVIDIA GTC 2026, AWS and NVIDIA announced an expanded collaboration with new technology integrations to support growing AI compute demand and help you build and run AI solutions that are production-ready. ]]></description>
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<pubDate>Mon, 16 Mar 2026 21:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>AWS, and, NVIDIA, deepen, strategic, collaboration, accelerate, from, pilot, production</media:keywords>
</item>

<item>
<title>Agentic AI in the Enterprise Part 2: Guidance by Persona</title>
<link>https://news.jatlink.uk/6257</link>
<guid>https://news.jatlink.uk/6257</guid>
<description><![CDATA[ This is Part II of a two-part series from the AWS Generative AI Innovation Center. In Part II, we speak directly to the leaders who must turn that shared foundation into action. Each role carries a distinct set of responsibilities, risks, and leverage points. Whether you own a P&amp;L, run enterprise architecture, lead security, govern data, or manage compliance, this section is written in the language of your job—because that&#039;s where agentic AI either succeeds or quietly dies. ]]></description>
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<pubDate>Mon, 16 Mar 2026 20:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Agentic, the, Enterprise, Part, Guidance, Persona</media:keywords>
</item>

<item>
<title>Introducing Disaggregated Inference on AWS powered by llm&amp;d</title>
<link>https://news.jatlink.uk/6258</link>
<guid>https://news.jatlink.uk/6258</guid>
<description><![CDATA[ In this blog post, we introduce the concepts behind next-generation inference capabilities, including disaggregated serving, intelligent request scheduling, and expert parallelism. We discuss their benefits and walk through how you can implement them on Amazon SageMaker HyperPod EKS to achieve significant improvements in inference performance, resource utilization, and operational efficiency. ]]></description>
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<pubDate>Mon, 16 Mar 2026 20:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, Disaggregated, Inference, AWS powered, llm-d</media:keywords>
</item>

<item>
<title>Why Codex Security Doesn’t Include a SAST Report</title>
<link>https://news.jatlink.uk/6256</link>
<guid>https://news.jatlink.uk/6256</guid>
<description><![CDATA[ A deep dive into why Codex Security doesn’t rely on traditional SAST, instead using AI-driven constraint reasoning and validation to find real vulnerabilities with fewer false positives. ]]></description>
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<pubDate>Mon, 16 Mar 2026 20:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Why, Codex, Security, Doesn’t, Include, SAST, Report</media:keywords>
</item>

<item>
<title>How Workhuman built multi&amp;tenant self&amp;service reporting using Amazon Quick Sight embedded dashboards</title>
<link>https://news.jatlink.uk/6238</link>
<guid>https://news.jatlink.uk/6238</guid>
<description><![CDATA[ This post explores how Workhuman transformed their analytics delivery model and the key lessons learned from their implementation. We go through their architecture approach, implementation strategy, and the business outcomes they achieved—providing you with a practical blueprint for adding embedded analytics to your own software as a service (SaaS) applications. ]]></description>
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<pubDate>Mon, 16 Mar 2026 16:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Workhuman, built, multi-tenant, self-service, reporting, using, Amazon, Quick, Sight, embedded, dashboards</media:keywords>
</item>

<item>
<title>Build an offline feature store using Amazon SageMaker Unified Studio and SageMaker Catalog</title>
<link>https://news.jatlink.uk/6239</link>
<guid>https://news.jatlink.uk/6239</guid>
<description><![CDATA[ This blog post provides step-by-step guidance on implementing an offline feature store using SageMaker Catalog within a SageMaker Unified Studio domain. By adopting a publish-subscribe pattern, data producers can use this solution to publish curated, versioned feature tables—while data consumers can securely discover, subscribe to, and reuse them for model development. ]]></description>
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<pubDate>Mon, 16 Mar 2026 16:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, offline, feature, store, using, Amazon, SageMaker, Unified, Studio, and, SageMaker, Catalog</media:keywords>
</item>

<item>
<title>P&amp;EAGLE: Faster LLM inference with Parallel Speculative Decoding in vLLM</title>
<link>https://news.jatlink.uk/6078</link>
<guid>https://news.jatlink.uk/6078</guid>
<description><![CDATA[ In this post, we explain how P-EAGLE works, how we integrated it into vLLM starting from v0.16.0 (PR#32887), and how to serve it with our pre-trained checkpoints. ]]></description>
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<pubDate>Fri, 13 Mar 2026 20:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>P-EAGLE:, Faster, LLM, inference, with, Parallel, Speculative, Decoding, vLLM</media:keywords>
</item>

<item>
<title>Improve operational visibility for inference workloads on Amazon Bedrock with new CloudWatch metrics for TTFT and Estimated Quota Consumption</title>
<link>https://news.jatlink.uk/6015</link>
<guid>https://news.jatlink.uk/6015</guid>
<description><![CDATA[ Today, we’re announcing two new Amazon CloudWatch metrics for Amazon Bedrock, TimeToFirstToken and EstimatedTPMQuotaUsage. In this post, we cover how these work and how to set alarms, establish baselines, and proactively manage capacity using them. ]]></description>
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<pubDate>Fri, 13 Mar 2026 00:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Improve, operational, visibility, for, inference, workloads, Amazon, Bedrock, with, new, CloudWatch, metrics, for, TTFT, and, Estimated, Quota, Consumption</media:keywords>
</item>

<item>
<title>Secure AI agents with Policy in Amazon Bedrock AgentCore</title>
<link>https://news.jatlink.uk/6016</link>
<guid>https://news.jatlink.uk/6016</guid>
<description><![CDATA[ In this post, you will understand how Policy in Amazon Bedrock AgentCore creates a deterministic enforcement layer that operates independently of the agent&#039;s own reasoning. You will learn how to turn natural language descriptions of your business rules into Cedar policies, then use those policies to enforce fine-grained, identity-aware controls so that agents only access the tools and data that their users are authorized to use. You will also see how to apply Policy through AgentCore Gateway, intercepting and evaluating every agent-to-tool request at runtime. ]]></description>
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<pubDate>Fri, 13 Mar 2026 00:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Secure, agents, with, Policy, Amazon, Bedrock, AgentCore</media:keywords>
</item>

<item>
<title>Into the Omniverse: How Industrial AI and Digital Twins Accelerate Design, Engineering and Manufacturing Across Industries</title>
<link>https://news.jatlink.uk/5983</link>
<guid>https://news.jatlink.uk/5983</guid>
<description><![CDATA[ Industrial AI, digital twins, AI physics and accelerated AI infrastructure are empowering companies across industries to accelerate and scale the design, simulation and optimization of products, processes and facilities before building in the real world. ]]></description>
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<pubDate>Thu, 12 Mar 2026 18:01:17 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Into, the, Omniverse:, How, Industrial, and, Digital, Twins, Accelerate, Design, Engineering, and, Manufacturing, Across, Industries</media:keywords>
</item>

<item>
<title>Fine&amp;tuning NVIDIA Nemotron Speech ASR on Amazon EC2 for domain adaptation</title>
<link>https://news.jatlink.uk/5982</link>
<guid>https://news.jatlink.uk/5982</guid>
<description><![CDATA[ In this post, we explore how to fine-tune a leaderboard-topping, NVIDIA Nemotron Speech Automatic Speech Recognition (ASR) model; Parakeet TDT 0.6B V2. Using synthetic speech data to achieve superior transcription results for specialised applications, we&#039;ll walk through an end-to-end workflow that combines AWS infrastructure with the following popular open-source frameworks. ]]></description>
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<pubDate>Thu, 12 Mar 2026 16:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Fine-tuning, NVIDIA, Nemotron, Speech, ASR, Amazon, EC2, for, domain, adaptation</media:keywords>
</item>

<item>
<title>Multimodal embeddings at scale: AI data lake for media and entertainment workloads</title>
<link>https://news.jatlink.uk/5981</link>
<guid>https://news.jatlink.uk/5981</guid>
<description><![CDATA[ This post shows you how to build a scalable multimodal video search system that enables natural language search across large video datasets using Amazon Nova models and Amazon OpenSearch Service. You will learn how to move beyond manual tagging and keyword-based searches to enable semantic search that captures the full richness of video content. ]]></description>
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<pubDate>Thu, 12 Mar 2026 16:00:05 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Multimodal, embeddings, scale:, data, lake, for, media, and, entertainment, workloads</media:keywords>
</item>

<item>
<title>GeForce NOW Raises the Game at the Game Developers Conference</title>
<link>https://news.jatlink.uk/5967</link>
<guid>https://news.jatlink.uk/5967</guid>
<description><![CDATA[ GeForce NOW is bringing the game to the Game Developers Conference (GDC), running this week in San Francisco. While developers build the future of gaming, GeForce NOW is delivering it to gamers. The latest updates bring smoother performance, easier game discovery and a fresh lineup of blockbuster titles to the cloud. Game discoverability gets a […] ]]></description>
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<pubDate>Thu, 12 Mar 2026 14:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>GeForce, NOW, Raises, the, Game, the, Game, Developers, Conference</media:keywords>
</item>

<item>
<title>Operationalizing Agentic AI Part 1: A Stakeholder’s Guide</title>
<link>https://news.jatlink.uk/5928</link>
<guid>https://news.jatlink.uk/5928</guid>
<description><![CDATA[ The AWS Generative AI Innovation Center has helped 1,000+ customers move AI into production, delivering millions in documented productivity gains. In this post, we share guidance for leaders across the C-suite: CTOs, CISOs, CDOs, and Chief Data Science/AI officers, as well as business owners and compliance leads. ]]></description>
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<pubDate>Wed, 11 Mar 2026 21:00:05 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Operationalizing, Agentic, Part, Stakeholder’s, Guide</media:keywords>
</item>

<item>
<title>Rakuten fixes issues twice as fast with Codex</title>
<link>https://news.jatlink.uk/5927</link>
<guid>https://news.jatlink.uk/5927</guid>
<description><![CDATA[ Rakuten uses Codex, the coding agent from OpenAI, to ship software faster and safer, reducing MTTR 50%, automating CI/CD reviews, and delivering full-stack builds in weeks. ]]></description>
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<pubDate>Wed, 11 Mar 2026 21:00:04 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Rakuten, fixes, issues, twice, fast, with, Codex</media:keywords>
</item>

<item>
<title>Designing AI agents to resist prompt injection</title>
<link>https://news.jatlink.uk/5924</link>
<guid>https://news.jatlink.uk/5924</guid>
<description><![CDATA[ How ChatGPT defends against prompt injection and social engineering by constraining risky actions and protecting sensitive data in agent workflows. ]]></description>
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<pubDate>Wed, 11 Mar 2026 20:00:05 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Designing, agents, resist, prompt, injection</media:keywords>
</item>

<item>
<title>Wayfair boosts catalog accuracy and support speed with OpenAI</title>
<link>https://news.jatlink.uk/5925</link>
<guid>https://news.jatlink.uk/5925</guid>
<description><![CDATA[ Wayfair uses OpenAI models to improve ecommerce support and product catalog accuracy, automating ticket triage and enhancing millions of product attributes at scale. ]]></description>
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<pubDate>Wed, 11 Mar 2026 20:00:05 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Wayfair, boosts, catalog, accuracy, and, support, speed, with, OpenAI</media:keywords>
</item>

<item>
<title>From model to agent: Equipping the Responses API with a computer environment</title>
<link>https://news.jatlink.uk/5926</link>
<guid>https://news.jatlink.uk/5926</guid>
<description><![CDATA[ How OpenAI built an agent runtime using the Responses API, shell tool, and hosted containers to run secure, scalable agents with files, tools, and state. ]]></description>
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<pubDate>Wed, 11 Mar 2026 20:00:05 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>From, model, agent:, Equipping, the, Responses, API, with, computer, environment</media:keywords>
</item>

<item>
<title>NVIDIA GTC 2026: Live Updates on What’s Next in AI</title>
<link>https://news.jatlink.uk/5904</link>
<guid>https://news.jatlink.uk/5904</guid>
<description><![CDATA[ Rolling coverage from San Jose, including NVIDIA CEO Jensen Huang’s keynote, news highlights, live demos and on‑the‑ground color through March 20. ]]></description>
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<pubDate>Wed, 11 Mar 2026 18:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, GTC, 2026:, Live, Updates, What’s, Next</media:keywords>
</item>

<item>
<title>New NVIDIA Nemotron 3 Super Delivers 5x Higher Throughput for Agentic AI</title>
<link>https://news.jatlink.uk/5903</link>
<guid>https://news.jatlink.uk/5903</guid>
<description><![CDATA[ Launched today, NVIDIA Nemotron 3 Super is a 120‑billion‑parameter open model with 12 billion active parameters designed to run complex agentic AI systems at scale.  Available now, the model combines advanced reasoning capabilities to efficiently complete tasks with high accuracy for autonomous agents. AI-Native Companies: Perplexity offers its users access to Nemotron 3 Super for […] ]]></description>
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<pubDate>Wed, 11 Mar 2026 18:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>New, NVIDIA, Nemotron, Super, Delivers, Higher, Throughput, for, Agentic</media:keywords>
</item>

<item>
<title>NVIDIA and Nebius Partner to Scale Full&amp;Stack AI Cloud</title>
<link>https://news.jatlink.uk/5890</link>
<guid>https://news.jatlink.uk/5890</guid>
<description><![CDATA[ SANTA CLARA, Calif. and AMSTERDAM -- NVIDIA and Nebius Group N.V. (NASDAQ: NBIS) today announced a strategic partnership to develop and deploy the next generation of hyperscale cloud for the ... ]]></description>
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<pubDate>Wed, 11 Mar 2026 14:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, Nebius, Partner, Scale, Full-Stack, Cloud</media:keywords>
</item>

<item>
<title>New ways to learn math and science in ChatGPT</title>
<link>https://news.jatlink.uk/5850</link>
<guid>https://news.jatlink.uk/5850</guid>
<description><![CDATA[ ChatGPT introduces interactive visual explanations for math and science, helping students explore formulas, variables, and concepts in real time. ]]></description>
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<pubDate>Tue, 10 Mar 2026 20:00:08 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>New, ways, learn, math, and, science, ChatGPT</media:keywords>
</item>

<item>
<title>Improving instruction hierarchy in frontier LLMs</title>
<link>https://news.jatlink.uk/5849</link>
<guid>https://news.jatlink.uk/5849</guid>
<description><![CDATA[ IH-Challenge trains models to prioritize trusted instructions, improving instruction hierarchy, safety steerability, and resistance to prompt injection attacks. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 10 Mar 2026 20:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Improving, instruction, hierarchy, frontier, LLMs</media:keywords>
</item>

<item>
<title>As Open Models Spark AI Boom, NVIDIA Jetson Brings It to Life at the Edge</title>
<link>https://news.jatlink.uk/5828</link>
<guid>https://news.jatlink.uk/5828</guid>
<description><![CDATA[ The Cat 306 CR mini-excavator weighs just under eight tons and fits inside a standard shipping container. It’s the machine a contractor rents when the job site is tight: a utility trench near a foundation, a basement dig in a dense neighborhood. The cab is roughly the size of a phone booth. The operator sits […] ]]></description>
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<pubDate>Tue, 10 Mar 2026 18:00:09 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Open, Models, Spark, Boom, NVIDIA, Jetson, Brings, Life, the, Edge</media:keywords>
</item>

<item>
<title>NVIDIA Virtualizes Game Development With RTX PRO Server</title>
<link>https://news.jatlink.uk/5829</link>
<guid>https://news.jatlink.uk/5829</guid>
<description><![CDATA[ Game development teams are working across larger worlds, more complex pipelines and more distributed teams than ever. At the same time, many studios still rely on fixed, desk-bound GPU hardware for critical production work. At the Game Developers Conference (GDC) this week in San Francisco, NVIDIA is showcasing a new approach to bring together disparate […] ]]></description>
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<pubDate>Tue, 10 Mar 2026 18:00:09 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Virtualizes, Game, Development, With, RTX, PRO, Server</media:keywords>
</item>

<item>
<title>NVIDIA and ComfyUI Streamline Local AI Video Generation for Game Developers and Creators at GDC</title>
<link>https://news.jatlink.uk/5830</link>
<guid>https://news.jatlink.uk/5830</guid>
<description><![CDATA[ Game developers and artists are building cinematic worlds and iconic characters — raising the bar for immersive experiences on NVIDIA RTX AI PCs.  At the Game Developers Conference (GDC) in San Francisco this week, NVIDIA announced a suite of updates that streamline AI video generation for concept development and storyboarding on RTX GPUs and the […] ]]></description>
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<pubDate>Tue, 10 Mar 2026 18:00:09 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, ComfyUI, Streamline, Local, Video, Generation, for, Game, Developers, and, Creators, GDC</media:keywords>
</item>

<item>
<title>Accelerate custom LLM deployment: Fine&amp;tune with Oumi and deploy to Amazon Bedrock</title>
<link>https://news.jatlink.uk/5826</link>
<guid>https://news.jatlink.uk/5826</guid>
<description><![CDATA[ In this post, we show how to fine-tune a Llama model using Oumi on Amazon EC2 (with the option to create synthetic data using Oumi), store artifacts in Amazon S3, and deploy to Amazon Bedrock using Custom Model Import for managed inference. ]]></description>
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<pubDate>Tue, 10 Mar 2026 16:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Accelerate, custom, LLM, deployment:, Fine-tune, with, Oumi, and, deploy, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>AI Is a 5&amp;Layer Cake</title>
<link>https://news.jatlink.uk/5811</link>
<guid>https://news.jatlink.uk/5811</guid>
<description><![CDATA[ AI is one of the most powerful forces shaping the world today. It is not a clever app or a single model; it is essential infrastructure, like electricity and the internet. ]]></description>
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<pubDate>Tue, 10 Mar 2026 14:00:08 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>5-Layer, Cake</media:keywords>
</item>

<item>
<title>NVIDIA and Thinking Machines Lab Announce Long&amp;Term Gigawatt&amp;Scale Strategic Partnership</title>
<link>https://news.jatlink.uk/5810</link>
<guid>https://news.jatlink.uk/5810</guid>
<description><![CDATA[ NVIDIA and Thinking Machines Lab announced today a multiyear strategic partnership to deploy at least one gigawatt of next-generation NVIDIA Vera Rubin systems to support Thinking Machines’ frontier model training and platforms delivering customizable AI at scale. Deployment on the NVIDIA Vera Rubin platform is targeted for early next year. The partnership also includes an […] ]]></description>
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<pubDate>Tue, 10 Mar 2026 14:00:08 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, Thinking, Machines, Lab, Announce, Long-Term, Gigawatt-Scale, Strategic, Partnership</media:keywords>
</item>

<item>
<title>Access Anthropic Claude models in India on Amazon Bedrock with Global cross&amp;Region inference</title>
<link>https://news.jatlink.uk/5765</link>
<guid>https://news.jatlink.uk/5765</guid>
<description><![CDATA[ In this post, you will discover how to use Amazon Bedrock&#039;s Global cross-Region Inference for Claude models in India. We will guide you through the capabilities of each Claude model variant and how to get started with a code example to help you start building generative AI applications immediately. ]]></description>
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<pubDate>Mon, 09 Mar 2026 21:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Access, Anthropic, Claude, models, India, Amazon, Bedrock, with, Global, cross-Region, inference</media:keywords>
</item>

<item>
<title>Run NVIDIA Nemotron 3 Nano as a fully managed serverless model on Amazon Bedrock</title>
<link>https://news.jatlink.uk/5764</link>
<guid>https://news.jatlink.uk/5764</guid>
<description><![CDATA[ We are excited to announce that NVIDIA’s Nemotron 3 Nano is now available as a fully managed and serverless model in Amazon Bedrock. This follows our earlier announcement at AWS re:Invent supporting NVIDIA Nemotron 2 Nano 9B and NVIDIA Nemotron 2 Nano VL 12B models. This post explores the technical characteristics of the NVIDIA Nemotron 3 Nano model and discusses potential application use cases. Additionally, it provides technical guidance to help you get started using this model for your generative AI applications within the Amazon Bedrock environment. ]]></description>
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<pubDate>Mon, 09 Mar 2026 21:00:05 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Run, NVIDIA, Nemotron, Nano, fully, managed, serverless, model, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>OpenAI to acquire Promptfoo</title>
<link>https://news.jatlink.uk/5763</link>
<guid>https://news.jatlink.uk/5763</guid>
<description><![CDATA[ OpenAI is acquiring Promptfoo, an AI security platform that helps enterprises identify and remediate vulnerabilities in AI systems during development. ]]></description>
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<pubDate>Mon, 09 Mar 2026 20:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, acquire, Promptfoo</media:keywords>
</item>

<item>
<title>ABB Robotics Taps NVIDIA Omniverse to Deliver Industrial‑Grade Physical AI at Scale</title>
<link>https://news.jatlink.uk/5748</link>
<guid>https://news.jatlink.uk/5748</guid>
<description><![CDATA[ ABB Robotics and NVIDIA today announced a breakthrough partnership that brings industrial‑grade physical AI to the factory floor.  By integrating NVIDIA Omniverse libraries directly into its RobotStudio programming and simulation suite, ABB Robotics will now deliver physically accurate simulation capabilities in its platform, dramatically cutting engineering time, reducing deployment costs by up to 40% and […] ]]></description>
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<pubDate>Mon, 09 Mar 2026 18:00:08 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>ABB, Robotics, Taps, NVIDIA, Omniverse, Deliver, Industrial‑Grade, Physical, Scale</media:keywords>
</item>

<item>
<title>How AI Is Driving Revenue, Cutting Costs and Boosting Productivity for Every Industry in 2026</title>
<link>https://news.jatlink.uk/5749</link>
<guid>https://news.jatlink.uk/5749</guid>
<description><![CDATA[ AI is everywhere and accelerating everything — becoming essential infrastructure to create the intelligence that will advance every industry. That’s why companies are increasingly focusing on the technology’s return on investment (ROI), as well as how to best apply AI to their own use cases. NVIDIA’s annual “State of AI” reports show how AI is […] ]]></description>
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<pubDate>Mon, 09 Mar 2026 18:00:08 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Driving, Revenue, Cutting, Costs, and, Boosting, Productivity, for, Every, Industry, 2026</media:keywords>
</item>

<item>
<title>How Descript enables multilingual video dubbing at scale</title>
<link>https://news.jatlink.uk/5599</link>
<guid>https://news.jatlink.uk/5599</guid>
<description><![CDATA[ Descript uses OpenAI models to scale multilingual video dubbing, optimizing translations for both meaning and timing so dubbed speech sounds natural across languages. ]]></description>
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<pubDate>Fri, 06 Mar 2026 20:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Descript, enables, multilingual, video, dubbing, scale</media:keywords>
</item>

<item>
<title>Codex Security: now in research preview</title>
<link>https://news.jatlink.uk/5600</link>
<guid>https://news.jatlink.uk/5600</guid>
<description><![CDATA[ Codex Security is an AI application security agent that analyzes project context to detect, validate, and patch complex vulnerabilities with higher confidence and less noise. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 06 Mar 2026 20:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Codex, Security:, now, research, preview</media:keywords>
</item>

<item>
<title>How Balyasny Asset Management built an AI research engine for investing</title>
<link>https://news.jatlink.uk/5576</link>
<guid>https://news.jatlink.uk/5576</guid>
<description><![CDATA[ See how Balyasny built an AI research system with GPT-5.4, rigorous model evaluation, and agent workflows to transform investment analysis at scale. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 06 Mar 2026 16:00:05 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Balyasny, Asset, Management, built, research, engine, for, investing</media:keywords>
</item>

<item>
<title>The five AI value models driving business reinvention</title>
<link>https://news.jatlink.uk/5528</link>
<guid>https://news.jatlink.uk/5528</guid>
<description><![CDATA[ Five AI value models show how leaders can sequence AI from workforce fluency to process reinvention and build durable business advantage. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 06 Mar 2026 00:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>The, five, value, models, driving, business, reinvention</media:keywords>
</item>

<item>
<title>Introducing the Adoption news channel</title>
<link>https://news.jatlink.uk/5529</link>
<guid>https://news.jatlink.uk/5529</guid>
<description><![CDATA[ Practical insights and frameworks to turn AI progress into business advantage ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 06 Mar 2026 00:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, the, Adoption, news, channel</media:keywords>
</item>

<item>
<title>Introducing ChatGPT for Excel and new financial data integrations</title>
<link>https://news.jatlink.uk/5530</link>
<guid>https://news.jatlink.uk/5530</guid>
<description><![CDATA[ OpenAI introduces ChatGPT for Excel and new financial app integrations, powered by GPT-5.4 to accelerate modeling, research, and analysis in regulated environments. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 06 Mar 2026 00:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, ChatGPT, for, Excel, and, new, financial, data, integrations</media:keywords>
</item>

<item>
<title>Reasoning models struggle to control their chains of thought, and that’s good</title>
<link>https://news.jatlink.uk/5512</link>
<guid>https://news.jatlink.uk/5512</guid>
<description><![CDATA[ OpenAI introduces CoT-Control and finds reasoning models struggle to control their chains of thought, reinforcing monitorability as an AI safety safeguard. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 05 Mar 2026 20:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Reasoning, models, struggle, control, their, chains, thought, and, that’s, good</media:keywords>
</item>

<item>
<title>Introducing GPT&amp;5.4</title>
<link>https://news.jatlink.uk/5513</link>
<guid>https://news.jatlink.uk/5513</guid>
<description><![CDATA[ Introducing GPT-5.4, OpenAI’s most most capable and efficient frontier model for professional work, with state-of-the-art coding, computer use, tool search, and 1M-token context. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 05 Mar 2026 20:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, GPT-5.4</media:keywords>
</item>

<item>
<title>Ensuring AI use in education leads to opportunity</title>
<link>https://news.jatlink.uk/5514</link>
<guid>https://news.jatlink.uk/5514</guid>
<description><![CDATA[ OpenAI shares new tools, certifications, and measurement resources to help schools and universities close AI capability gaps and expand opportunity. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 05 Mar 2026 20:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Ensuring, use, education, leads, opportunity</media:keywords>
</item>

<item>
<title>GPT&amp;5.4 Thinking System Card</title>
<link>https://news.jatlink.uk/5511</link>
<guid>https://news.jatlink.uk/5511</guid>
<description><![CDATA[  ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Thu, 05 Mar 2026 20:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>GPT-5.4, Thinking, System, Card</media:keywords>
</item>

<item>
<title>March Into the Cloud With 15 New Games Coming to GeForce NOW</title>
<link>https://news.jatlink.uk/5493</link>
<guid>https://news.jatlink.uk/5493</guid>
<description><![CDATA[ March is in full bloom, and that means a fresh wave of games heading to the cloud. 15 new titles are joining the GeForce NOW library this month. Leading the March lineup is Pearl Abyss’ Crimson Desert, an open‑world action‑adventure set in a war‑torn fantasy land, alongside plenty of other games to explore. Whether looking […] ]]></description>
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<pubDate>Thu, 05 Mar 2026 18:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>March, Into, the, Cloud, With, New, Games, Coming, GeForce, NOW</media:keywords>
</item>

<item>
<title>Drive organizational growth with Amazon Lex multi&amp;developer CI/CD pipeline</title>
<link>https://news.jatlink.uk/5491</link>
<guid>https://news.jatlink.uk/5491</guid>
<description><![CDATA[ In this post, we walk through a multi-developer CI/CD pipeline for Amazon Lex that enables isolated development environments, automated testing, and streamlined deployments. We show you how to set up the solution and share real-world results from teams using this approach. ]]></description>
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<pubDate>Thu, 05 Mar 2026 17:00:10 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Drive, organizational, growth, with, Amazon, Lex, multi-developer, CICD, pipeline</media:keywords>
</item>

<item>
<title>Building custom model provider for Strands Agents with LLMs hosted on SageMaker AI endpoints</title>
<link>https://news.jatlink.uk/5492</link>
<guid>https://news.jatlink.uk/5492</guid>
<description><![CDATA[ This post demonstrates how to build custom model parsers for Strands agents when working with LLMs hosted on SageMaker that don&#039;t natively support the Bedrock Messages API format. We&#039;ll walk through deploying Llama 3.1 with SGLang on SageMaker using awslabs/ml-container-creator, then implementing a custom parser to integrate it with Strands agents. ]]></description>
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<pubDate>Thu, 05 Mar 2026 17:00:10 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, custom, model, provider, for, Strands, Agents, with, LLMs, hosted, SageMaker, endpoints</media:keywords>
</item>

<item>
<title>Embed Amazon Quick Suite chat agents in enterprise applications</title>
<link>https://news.jatlink.uk/5447</link>
<guid>https://news.jatlink.uk/5447</guid>
<description><![CDATA[ Organizations find it challenging to implement a secure embedded chat in their applications and can require weeks of development to build authentication, token validation, domain security, and global distribution infrastructure. In this post, we show you how to solve this with a one-click deployment solution to embed the chat agents using the Quick Suite Embedding SDK in enterprise portals. ]]></description>
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<pubDate>Thu, 05 Mar 2026 00:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Embed, Amazon, Quick, Suite, chat, agents, enterprise, applications</media:keywords>
</item>

<item>
<title>Unlock powerful call center analytics with Amazon Nova foundation models</title>
<link>https://news.jatlink.uk/5448</link>
<guid>https://news.jatlink.uk/5448</guid>
<description><![CDATA[ In this post, we discuss how Amazon Nova demonstrates capabilities in conversational analytics, call classification, and other use cases often relevant to contact center solutions. We examine these capabilities for both single-call and multi-call analytics use cases. ]]></description>
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<pubDate>Thu, 05 Mar 2026 00:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Unlock, powerful, call, center, analytics, with, Amazon, Nova, foundation, models</media:keywords>
</item>

<item>
<title>How Ricoh built a scalable intelligent document processing solution on AWS</title>
<link>https://news.jatlink.uk/5432</link>
<guid>https://news.jatlink.uk/5432</guid>
<description><![CDATA[ This post explores how Ricoh built a standardized, multi-tenant solution for automated document classification and extraction using the AWS GenAI IDP Accelerator as a foundation, transforming their document processing from a custom-engineering bottleneck into a scalable, repeatable service. ]]></description>
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<pubDate>Wed, 04 Mar 2026 21:00:12 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Ricoh, built, scalable, intelligent, document, processing, solution, AWS</media:keywords>
</item>

<item>
<title>How Axios uses AI to help deliver high&amp;impact local journalism</title>
<link>https://news.jatlink.uk/5430</link>
<guid>https://news.jatlink.uk/5430</guid>
<description><![CDATA[ Axios COO Allison Murphy explains how the company uses AI to support local reporters, streamline newsroom workflows, and deliver high-impact local journalism at scale. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 04 Mar 2026 20:00:05 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Axios, uses, help, deliver, high-impact, local, journalism</media:keywords>
</item>

<item>
<title>Understanding AI and learning outcomes</title>
<link>https://news.jatlink.uk/5431</link>
<guid>https://news.jatlink.uk/5431</guid>
<description><![CDATA[ OpenAI introduces the Learning Outcomes Measurement Suite to assess AI’s impact on student learning across diverse educational environments over time. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 04 Mar 2026 20:00:05 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Understanding, and, learning, outcomes</media:keywords>
</item>

<item>
<title>Extending single&amp;minus amplitudes to gravitons</title>
<link>https://news.jatlink.uk/5429</link>
<guid>https://news.jatlink.uk/5429</guid>
<description><![CDATA[ A new preprint extends single-minus amplitudes to gravitons, with GPT-5.2 Pro helping derive and verify nonzero graviton tree amplitudes in quantum gravity. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Wed, 04 Mar 2026 20:00:04 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Extending, single-minus, amplitudes, gravitons</media:keywords>
</item>

<item>
<title>GPT&amp;5.3 Instant: Smoother, more useful everyday conversations</title>
<link>https://news.jatlink.uk/5360</link>
<guid>https://news.jatlink.uk/5360</guid>
<description><![CDATA[  ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 03 Mar 2026 20:00:05 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>GPT-5.3, Instant:, Smoother, more, useful, everyday, conversations</media:keywords>
</item>

<item>
<title>GPT&amp;5.3 Instant System Card</title>
<link>https://news.jatlink.uk/5361</link>
<guid>https://news.jatlink.uk/5361</guid>
<description><![CDATA[  ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Tue, 03 Mar 2026 20:00:05 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>GPT-5.3, Instant, System, Card</media:keywords>
</item>

<item>
<title>NVIDIA CEO Jensen Huang and Global Technology Leaders to Showcase Age of AI at GTC 2026</title>
<link>https://news.jatlink.uk/5342</link>
<guid>https://news.jatlink.uk/5342</guid>
<description><![CDATA[ NVIDIA today announced that GTC, the world’s premier conference on AI and accelerated computing, will take place March 16-19 this year in San Jose, California. ]]></description>
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<pubDate>Tue, 03 Mar 2026 18:00:05 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, CEO, Jensen, Huang, and, Global, Technology, Leaders, Showcase, Age, GTC, 2026</media:keywords>
</item>

<item>
<title>Building a scalable virtual try&amp;on solution using Amazon Nova on AWS: part 1</title>
<link>https://news.jatlink.uk/5339</link>
<guid>https://news.jatlink.uk/5339</guid>
<description><![CDATA[ In this post, we explore the virtual try-on capability now available in Amazon Nova Canvas, including sample code to get started quickly and tips to help get the best outputs. ]]></description>
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<pubDate>Tue, 03 Mar 2026 17:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, scalable, virtual, try-on, solution, using, Amazon, Nova, AWS:, part</media:keywords>
</item>

<item>
<title>How Lendi revamped the refinance journey for its customers using agentic AI in 16 weeks using Amazon Bedrock</title>
<link>https://news.jatlink.uk/5340</link>
<guid>https://news.jatlink.uk/5340</guid>
<description><![CDATA[ This post details how Lendi Group built their AI-powered Home Loan Guardian using Amazon Bedrock, the challenges they faced, the architecture they implemented, and the significant business outcomes they’ve achieved. Their journey offers valuable insights for organizations that want to use generative AI to transform customer experiences while maintaining the human touch that builds trust and loyalty. ]]></description>
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<pubDate>Tue, 03 Mar 2026 17:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Lendi, revamped, the, refinance, journey, for, its, customers, using, agentic, weeks, using, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>How Tines enhances security analysis with Amazon Quick Suite</title>
<link>https://news.jatlink.uk/5341</link>
<guid>https://news.jatlink.uk/5341</guid>
<description><![CDATA[ In this post, we show you how to connect Quick Suite with Tines to securely retrieve, analyze, and visualize enterprise data from any security or IT system. We walk through an example that uses a MCP server in Tines to retrieve data from various tools, such as AWS CloudTrail, Okta, and VirusTotal, to remediate security events using Quick Suite. ]]></description>
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<pubDate>Tue, 03 Mar 2026 17:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>How, Tines, enhances, security, analysis, with, Amazon, Quick, Suite</media:keywords>
</item>

<item>
<title>Build safe generative AI applications like a Pro: Best Practices with Amazon Bedrock Guardrails</title>
<link>https://news.jatlink.uk/5284</link>
<guid>https://news.jatlink.uk/5284</guid>
<description><![CDATA[ In this post, we will show you how to configure Amazon Bedrock Guardrails for efficient performance, implement best practices to protect your applications, and monitor your deployment effectively to maintain the right balance between safety and user experience. ]]></description>
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<pubDate>Mon, 02 Mar 2026 20:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, safe, generative, applications, like, Pro:, Best, Practices, with, Amazon, Bedrock, Guardrails</media:keywords>
</item>

<item>
<title>Building specialized AI without sacrificing intelligence: Nova Forge data mixing in action</title>
<link>https://news.jatlink.uk/5282</link>
<guid>https://news.jatlink.uk/5282</guid>
<description><![CDATA[ In this post, we share results from the AWS China Applied Science team&#039;s comprehensive evaluation of Nova Forge using a challenging Voice of Customer (VOC) classification task, benchmarked against open-source models. ]]></description>
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<pubDate>Mon, 02 Mar 2026 20:00:05 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Building, specialized, without, sacrificing, intelligence: Nova, Forge, data, mixing, action</media:keywords>
</item>

<item>
<title>Build a serverless conversational AI agent using Claude with LangGraph and managed MLflow on Amazon SageMaker AI</title>
<link>https://news.jatlink.uk/5283</link>
<guid>https://news.jatlink.uk/5283</guid>
<description><![CDATA[ This post explores how to build an intelligent conversational agent using Amazon Bedrock, LangGraph, and managed MLflow on Amazon SageMaker AI. ]]></description>
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<pubDate>Mon, 02 Mar 2026 20:00:05 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Build, serverless, conversational, agent, using, Claude, with, LangGraph, and, managed, MLflow, Amazon, SageMaker</media:keywords>
</item>

<item>
<title>NVIDIA and Coherent Announce Strategic Partnership to Develop Optics Technology to Scale Next&amp;Generation Data Center Architecture</title>
<link>https://news.jatlink.uk/5253</link>
<guid>https://news.jatlink.uk/5253</guid>
<description><![CDATA[ NVIDIA to Invest $2 Billion in Coherent to Expand Supply, Deepen R&amp;D and Advance US-Based Manufacturing ]]></description>
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<pubDate>Mon, 02 Mar 2026 14:00:08 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, Coherent, Announce, Strategic, Partnership, Develop, Optics, Technology, Scale, Next-Generation, Data, Center, Architecture</media:keywords>
</item>

<item>
<title>NVIDIA Announces Strategic Partnership With Lumentum to Develop State&amp;of&amp;the&amp;Art Optics Technology</title>
<link>https://news.jatlink.uk/5254</link>
<guid>https://news.jatlink.uk/5254</guid>
<description><![CDATA[ NVIDIA to Invest $2 Billion in Lumentum to Grow Capacity, Advance US-Based Manufacturing and Deepen R&amp;D Collaboration in Data Center Optics ]]></description>
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<pubDate>Mon, 02 Mar 2026 14:00:08 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Announces, Strategic, Partnership, With, Lumentum, Develop, State-of-the-Art, Optics, Technology</media:keywords>
</item>

<item>
<title>NVIDIA Advances Autonomous Networks With Agentic AI Blueprints and Telco Reasoning Models</title>
<link>https://news.jatlink.uk/5187</link>
<guid>https://news.jatlink.uk/5187</guid>
<description><![CDATA[ Autonomous networks — intelligent, self-managing telecommunications operations — are moving from a future vision to a current priority for telecom operators. In the latest NVIDIA State of AI in Telecommunications report, network automation emerged as the top AI use case for investment and return on investment. Automation is different from autonomy. Beyond executing predefined workflows,	
		Read Article ]]></description>
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<pubDate>Sun, 01 Mar 2026 10:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, Advances, Autonomous, Networks, With, Agentic, Blueprints, and, Telco, Reasoning, Models</media:keywords>
</item>

<item>
<title>NVIDIA and Partners Show That Software&amp;Defined AI&amp;RAN Is the Next Wireless Generation</title>
<link>https://news.jatlink.uk/5188</link>
<guid>https://news.jatlink.uk/5188</guid>
<description><![CDATA[ AI-RAN is moving from lab to field, showing that a software-defined approach is the only viable way to build future AI-native wireless networks. Ahead of Mobile World Congress (MWC), running March 2-5 in Barcelona, NVIDIA and Nokia announced new AI-RAN collaborations with top telecom operators across Europe, Asia and North America, powered by NVIDIA AI-RAN	
		Read Article ]]></description>
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<pubDate>Sun, 01 Mar 2026 10:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, Partners, Show, That, Software-Defined, AI-RAN, the, Next, Wireless, Generation</media:keywords>
</item>

<item>
<title>NVIDIA and Global Telecom Leaders Commit to Build 6G on Open and Secure AI&amp;Native Platforms</title>
<link>https://news.jatlink.uk/5189</link>
<guid>https://news.jatlink.uk/5189</guid>
<description><![CDATA[ NVIDIA today announced a commitment — together with Booz Allen, BT Group, Cisco, Deutsche Telekom, Ericsson, MITRE, Nokia, OCUDU Ecosystem Foundation, ODC, SK Telecom, SoftBank Corp. and T-Mobile — to build the world’s next generation of wireless networks on AI-native, open, secure and trustworthy platforms. ]]></description>
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<pubDate>Sun, 01 Mar 2026 10:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>NVIDIA, and, Global, Telecom, Leaders, Commit, Build, Open, and, Secure, AI-Native, Platforms</media:keywords>
</item>

<item>
<title>Our agreement with the Department of War</title>
<link>https://news.jatlink.uk/5157</link>
<guid>https://news.jatlink.uk/5157</guid>
<description><![CDATA[ Details on OpenAI’s contract with the Department of War, outlining safety redlines, legal protections, and how AI systems will be deployed in classified environments. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Sat, 28 Feb 2026 21:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Our, agreement, with, the, Department, War</media:keywords>
</item>

<item>
<title>An update on our mental health&amp;related work</title>
<link>https://news.jatlink.uk/5117</link>
<guid>https://news.jatlink.uk/5117</guid>
<description><![CDATA[ OpenAI shares updates on its mental health safety work, including parental controls, trusted contacts, improved distress detection, and recent litigation developments. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Sat, 28 Feb 2026 00:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>update, our, mental, health-related, work</media:keywords>
</item>

<item>
<title>The Nightmare Returns in the Cloud: GeForce NOW Unleashes Capcom’s ‘Resident Evil Requiem’</title>
<link>https://news.jatlink.uk/5102</link>
<guid>https://news.jatlink.uk/5102</guid>
<description><![CDATA[ GeForce NOW’s anniversary celebration reaches a chilling crescendo as Capcom’s Resident Evil: Requiem creeps into the cloud — and the horrors look better than ever on a GeForce NOW Ultimate membership. To mark the occasion, a special launch bundle rises from the shadows, pairing the game with a yearlong Ultimate membership for a limited time.	
		Read Article ]]></description>
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<pubDate>Fri, 27 Feb 2026 22:00:07 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>The, Nightmare, Returns, the, Cloud:, GeForce, NOW, Unleashes, Capcom’s, ‘Resident, Evil, Requiem’</media:keywords>
</item>

<item>
<title>Scaling AI for everyone</title>
<link>https://news.jatlink.uk/5079</link>
<guid>https://news.jatlink.uk/5079</guid>
<description><![CDATA[ Today we’re announcing $110B in new investment at a $730B pre money valuation. This includes $30B from SoftBank, $30B from NVIDIA, and $50B from Amazon. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 27 Feb 2026 16:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Scaling, for, everyone</media:keywords>
</item>

<item>
<title>Joint Statement from OpenAI and Microsoft</title>
<link>https://news.jatlink.uk/5080</link>
<guid>https://news.jatlink.uk/5080</guid>
<description><![CDATA[ Microsoft and OpenAI continue to work closely across research, engineering, and product development, building on years of deep collaboration and shared success. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 27 Feb 2026 16:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Joint, Statement, from, OpenAI, and, Microsoft</media:keywords>
</item>

<item>
<title>Introducing the Stateful Runtime Environment for Agents in Amazon Bedrock</title>
<link>https://news.jatlink.uk/5081</link>
<guid>https://news.jatlink.uk/5081</guid>
<description><![CDATA[ Stateful Runtime for Agents in Amazon Bedrock brings persistent orchestration, memory, and secure execution to multi-step AI workflows powered by OpenAI. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 27 Feb 2026 16:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>Introducing, the, Stateful, Runtime, Environment, for, Agents, Amazon, Bedrock</media:keywords>
</item>

<item>
<title>OpenAI and Amazon announce strategic partnership</title>
<link>https://news.jatlink.uk/5082</link>
<guid>https://news.jatlink.uk/5082</guid>
<description><![CDATA[ OpenAI and Amazon announce a strategic partnership bringing OpenAI’s Frontier platform to AWS, expanding AI infrastructure, custom models, and enterprise AI agents. ]]></description>
<enclosure url="http://news.jatlink.uk" length="4096" type="image/jpeg"/>
<pubDate>Fri, 27 Feb 2026 16:00:06 +0000</pubDate>
<dc:creator>Jat AI</dc:creator>
<media:keywords>OpenAI, and, Amazon, announce, strategic, partnership</media:keywords>
</item>

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