https://ai-news.ypetit.net/sources/aws-ml-blog/ Latest publications from AWS Machine Learning, aggregated by AI News from the official source. en Tue, 10 Nov 2026 00:08:45 GMT https://aws.amazon.com/blogs/machine-learning/single-shot-and-agentic-retrieval-with-amazon-bedrock-managed-knowledge-base/85e11029965ec714b8161f63f048a12f65fd6a97Mon, 09 Nov 2026 20:13:18 GMTblogAmazon Bedrock Managed Knowledge Base now supports single-shot RAG and retrieval-only requests through AgenticRetrieveStream, alongside agentic retrieval. This post explains how the maxAgentIteration parameter matches retrieval effort to each request, using an illustrative int… https://aws.amazon.com/blogs/machine-learning/introducing-claude-fable-5-2-on-aws/19f307961a8c6e7fb1931729bc0b823ac590bfecMon, 09 Nov 2026 20:04:37 GMTblogClaude Fable 5.2 and Claude Mythos 5.2 are now available on Amazon Bedrock and Claude Platform on AWS. Learn what's new in both models, why Fable 5.2 matters for your technical workloads, and how to get started building with it on Amazon Bedrock. https://aws.amazon.com/blogs/machine-learning/nvidia-nemotron-3-5-super-vl-is-now-available-in-amazon-sagemaker-jumpstart/3e5b07e97d0a4f1f703ec7e89ab19f1b40aaa262Mon, 09 Nov 2026 20:01:20 GMTblogNVIDIA Nemotron 3.5 Super VL, a 120B-parameter multimodal vision-language model, is now available in Amazon SageMaker JumpStart. Deploy the NVFP4 or BF16 variant in a few steps, then run text, image, and video inference for document intelligence, computer-use agents, and multi… https://aws.amazon.com/blogs/machine-learning/pluggable-agentic-ai-framework-a-seven-layer-composable-enterprise-agentic-ai-reference-architecture-on-amazon-bedrock-agentcore/333ca621d84290b49ff9a6ae139d900744bc2faaMon, 09 Nov 2026 19:05:54 GMTblogA seven-layer composable reference architecture for taking enterprise agentic AI from prototype to production on Amazon Bedrock AgentCore. Each layer has a stable contract, so you can swap technologies at any layer without redesigning the rest of the stack. https://aws.amazon.com/blogs/machine-learning/how-crossnokaye-grounds-physical-ai-with-amazon-bedrock-agentcore/08caff2b840ccbd409e94a190d5802d3f577d510Mon, 09 Nov 2026 18:55:43 GMTblogCrossnoKaye brought physical AI to heavy industry with Amazon Bedrock AgentCore. Its ATLAS platform and AURA agentic system ground AI reasoning in live plant data and run verifiable Python in isolated AgentCore sandboxes, giving plant engineers checkable, math-backed answers i… https://aws.amazon.com/blogs/machine-learning/professional-work-deserves-professional-tools-meet-aws-quick/153d15ac18681eb063b39b6822cf9c34c5480f9bMon, 09 Nov 2026 18:43:30 GMTblogIntroducing AWS Quick, formerly Amazon Quick, and the debut of our first brand campaign celebrating teams who keep business moving. AWS Quick is the AI workspace built only for work, where teams use AI agents to research, analyze, and act across the data and applications they … https://aws.amazon.com/blogs/machine-learning/sagemaker-inference-now-supports-multi-instance-gpu-to-maximize-gpu-utilization-for-model-endpoints/45834970ac5a8ce39a39de22bbc2ae33f7618139Fri, 06 Nov 2026 18:01:00 GMTblogAmazon SageMaker Inference now supports GPU partitioning with NVIDIA Multi-Instance GPU (MIG), which divides one GPU into hardware-isolated partitions so you can run a different model in each or take a right-sized fraction of a newer accelerator. This post shows how two option… https://aws.amazon.com/blogs/machine-learning/taxonomy-of-agentic-primitives-in-amazon-quick/755c7d8248913b9c1698eceff615a3e12637e5e9Fri, 06 Nov 2026 17:34:45 GMTblogAs we built Amazon Quick, its agents grew from answering questions to taking actions, and the same primitives kept getting rebuilt under different names. This post shares the taxonomy we converged on — triggers, agents, capabilities, and learned context — found by decomposing … https://aws.amazon.com/blogs/machine-learning/serverless-mcp-server-for-ai-agent-data-lake-access-on-amazon-ecs-fargate/64b64349a40669287b5c781082e75c92e2cc9153Fri, 06 Nov 2026 17:13:13 GMTblogLearn how to build a serverless Model Context Protocol (MCP) server on Amazon ECS with AWS Fargate that gives AI agents secure, metadata-driven access to an enterprise data lake. Exposing a new dataset requires only a JSON file, with no per-dataset integration code. https://aws.amazon.com/blogs/machine-learning/govern-ai-agent-access-with-okta-cross-app-access-and-amazon-bedrock-agentcore-part-2/568f99493ce9fc7f0fbe42c57947610f9ca4666cFri, 06 Nov 2026 17:09:23 GMTblogIn Part 1 you built one governed agent. Part 2 scales the pattern to an enterprise: Amazon Bedrock AgentCore Gateway becomes the single front door and redeems Okta's grant, Cedar policies bind each tool to the agent, a second agent runs on Amazon EKS, and AgentCore Observabili… https://aws.amazon.com/blogs/machine-learning/govern-ai-agent-access-with-okta-cross-app-access-and-amazon-bedrock-agentcore-part-1/c0f0c6e1e028e85f24cb91645e1a321ffca6e02aFri, 06 Nov 2026 17:09:18 GMTblogAn AI agent that acts for a user raises an identity question that per-app OAuth and service accounts leave open: which agent may act for which user, and how you stop it. In this first post of two, you build a task agent on Amazon Bedrock AgentCore that governs access through O… https://aws.amazon.com/blogs/machine-learning/how-greenlight-financial-built-an-autonomous-soc-solution-on-amazon-bedrock-agentcore/c5e92a0371483b3162fb07723de361bea61a1cceFri, 06 Nov 2026 16:55:05 GMTblogGreenlight Financial resolves more than 90% of up to 4,000 monthly security and risk cases without human intervention using Luna, a tiered multi-agent system on Amazon Bedrock AgentCore. This post covers the architecture, episodic memory for continuous learning, and the expans… https://aws.amazon.com/blogs/machine-learning/taxbit-assist-a-grounded-role-aware-ai-agent-on-amazon-bedrock-agentcore/300480516c367305f4d8824ac5917a409db07911Fri, 06 Nov 2026 16:49:42 GMTblogTaxbit built Taxbit Assist, a cited, permission-aware AI assistant embedded in its enterprise dashboard, on Amazon Bedrock AgentCore. This post shows how they grounded answers in a curated knowledge base, enforced role-aware and region-compliant safety, and continuously measur… https://aws.amazon.com/blogs/machine-learning/extend-claude-code-to-remote-sessions-on-amazon-bedrock-agentcore-with-security-controls/7f770c3595174ddce3e090066fd2d16df2549723Fri, 06 Nov 2026 16:45:58 GMTblogRun Claude Code as a remote agent on Amazon Bedrock AgentCore. Each coding task runs in its own isolated session in your AWS account, every model call goes through Amazon Bedrock, and the result comes back as a GitHub pull request you review and merge. https://aws.amazon.com/blogs/machine-learning/getting-started-with-web-answer-on-amazon-bedrock-agentcore/376dbe736a2397bd4acc4f174380565d54b0823bThu, 05 Nov 2026 21:04:24 GMTblogWeb Answer on Amazon Bedrock AgentCore returns a synthesized, source-cited answer to a natural-language question in a single tool call, with no search, retrieve, synthesize, and citation pipeline to build. Learn how it works and how to add it to an AgentCore Gateway and call i… https://aws.amazon.com/blogs/machine-learning/how-amazon-marketplace-evaluates-content-quality-with-amazon-sagemaker-ai/e8c83ec5b92498185c84027903905490ba326750Thu, 05 Nov 2026 18:06:43 GMTblogLearn how Amazon Marketplace evaluates A+ Content quality at scale on Amazon SageMaker AI by rendering each product page as a single snapshot, scoring it with a vision-language model fused with OCR readability signals in a CatBoost classifier, and using SHAP to turn each decis… https://aws.amazon.com/blogs/machine-learning/use-decision-models-with-amazon-bedrock-agentcore-evaluations/af187d4dcc140f40d628b5b7a009df4d46179afaWed, 04 Nov 2026 18:46:36 GMTblogSome agent-evaluation questions are narrow and repeatable, and decision models answer exactly that kind of question. This post shows how to connect two decision models, Jev and Strands Decider, to Amazon Bedrock AgentCore Evaluations through code-based evaluators, and how to v… https://aws.amazon.com/blogs/machine-learning/smart-approvals-in-amazon-quick-human-oversight-where-it-matters/9c5c128f7a31e5e43f3eafba7ef1c3537f53e875Wed, 04 Nov 2026 16:33:03 GMTblogSmart Approvals in Amazon Quick reviews eligible agent actions within your existing controls, reducing unnecessary approval prompts while keeping consequential decisions with a person. See how policy sets the boundary, how a classifier reviews actions, and how AWS CloudTrail a… https://aws.amazon.com/blogs/machine-learning/four-layers-of-context-engineering-for-production-ai-agents-how-deep-insight-applies-them-in-working-code/f002aac1d7eda07b2b65eb10ab1188bfa0625420Wed, 04 Nov 2026 16:30:40 GMTblogIn production AI agents, context management is the real bottleneck. This post presents a four-layer context engineering framework (architecture, prompts, file-based tools, and verification agents), implemented in working code from Deep Insight, an open source multi-agent data … https://aws.amazon.com/blogs/machine-learning/how-indegene-is-modernizing-and-scaling-enterprise-data-quality-in-life-sciences/ec8f216d6e33b15ef288b415453d9a3caa46a158Wed, 04 Nov 2026 16:25:57 GMTblogThis post explores how Indegene built a production-grade, LLM-powered Data Quality Agent in its NEXT Unified Data Platform on AWS. The agent generates context-aware data quality rules, validates them, and produces ready-to-run SQL and Python under human-in-the-loop governance,…