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Safely Releasing Frontier Models to Customers

Favorite It’s our goal for AWS to be the most secure place to run any workload, and in support of that we’ve been deeply investing in security across our services since AWS’s inception more than two decades ago.  Our AI services like Amazon Bedrock are built on this foundation and with the

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Shared by AWS Machine Learning July 1, 2026

Accelerate protein design with BoltzGen on Amazon SageMaker AI

Favorite BoltzGen on Amazon SageMaker AI accelerates protein binder design by managing GPU compute infrastructure end to end. BoltzGen is a diffusion-based generative model that designs proteins and peptides capable of binding to specific biomolecular targets. A typical design campaign involves multiple GPU-intensive steps: backbone generation, inverse folding, structural validation,

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Shared by AWS Machine Learning July 1, 2026

HippoRAG: Neurobiologically inspired RAG using Amazon Bedrock, Amazon Neptune, and personalized PageRank

Favorite Large language models (LLMs) have transformed how we process and generate information, but they still struggle with effectively integrating knowledge across multiple sources. Standard Retrieval Augmented Generation (RAG) methods, although helpful, often fall short when tackling multi-hop reasoning tasks that require connecting information from separate documents. To address these

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Shared by AWS Machine Learning July 1, 2026

Structured memory filtering with metadata in AgentCore Memory

Favorite Let’s say your customer support agent asks for “billing issues”, and gets back technical support tickets, sales conversations with receipt issues, and billing disputes all mixed. This is the retrieval precision wall that teams hit once their agents accumulate weeks of interaction history: similarity search finds everything that’s semantically

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Shared by AWS Machine Learning July 1, 2026

Building a serverless A2A gateway for agent discovery, routing, and access control

Favorite As enterprises deploy AI agents across teams, vendors, and infrastructure, managing agent-to-agent communication becomes a growing operational burden. Without a centralized layer, each new agent integration adds point-to-point connections, separate credentials, and custom routing logic. Teams spend engineering cycles wiring up connectivity instead of building agent capabilities. Access control

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Shared by AWS Machine Learning July 1, 2026