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Category: Machine learning

June 17, 2026Machine learning

Get back hours every day with autonomous agents in Amazon Quick

What if you came back from a full day of meetings and […]

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June 17, 2026Machine learning

Context intelligence for your data and AI agents at scale

Agents are only as intelligent as the context they can reason over. […]

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June 17, 2026Machine learning

New in Amazon Bedrock AgentCore: Build agents with broader knowledge and continuous learning

The models powering today’s agents are remarkably capable. They can reason across […]

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June 16, 2026Machine learning

Safeguard your agentic AI applications with the Amazon Bedrock Guardrails InvokeGuardrailChecks API

Today, we’re announcing a new API with Amazon Bedrock Guardrails. With this […]

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June 16, 2026Machine learning

Introducing container caching in Amazon SageMaker AI for faster model scaling

Today, we’re excited to announce container image caching for Amazon SageMaker AI […]

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June 16, 2026Machine learning

Parallelize speculative decoding with P-EAGLE on Amazon SageMaker AI

As large language models (LLMs) grow in size and complexity, maximizing inference throughput while […]

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June 15, 2026Machine learning

Introducing Gemma 4 models on Amazon Bedrock

Today, we are announcing the availability of the Gemma 4 family on […]

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June 15, 2026Machine learning

AI Agent Failure Detection and Root Cause Analysis with Strands Evals

When your AI agent fails in production, knowing that it failed is […]

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June 15, 2026Machine learning

Build context-rich research agents with Deep Agents and Bedrock AgentCore

A common challenge in AI-powered research workflows is depth versus context. If […]

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June 12, 2026Machine learning

Building Supercharger: How Rocket Close optimized title operations with agentic AI

Rocket Close is a Detroit-based title agency and appraisal management company within […]

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