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Training a coding model to paint watercolours with TRL and OpenEnv

The Economics of Agent Optimization: Context engineering for enterprise AI agents

AI cost optimization goes beyond model selection. Discover how context engineering in Microsoft Foundry helps lower AI costs by improving knowledge retrieval, tool selection, memory, and agent performance at scale. The post The Economics of Agent Optimization: Context engineering for enterprise AI agents appeared first on Microsoft Azure Blog .

Introducing agentic video understanding with Gemini

Try Google Pics: Easy image creation and editing in Google Workspace

Collage of images created by Google Pics, with the text "Say hello to Google Pics" on top

MCP went stateless: Is your AWS MCP server deployment well-architected?

On July 28, 2026, MCP made its protocol core stateless, removing the initialize handshake and session header. This post maps the MCP 2026-07-28 specification to the AWS Well-Architected Agentic AI Lens, pillar by pillar, and shows why the stateless design lets you delete the sticky sessions and session stores your MCP servers needed on AWS.

3 new ways to plan and book travel in Search

Graphic depicting new travel features for AI Mode in Search

Closing the AI agent trust gap with graduated autonomy

Most teams give AI agents either full access or read-only, leaving value unused or risk unmanaged. This post describes graduated autonomy, an architectural pattern in which agents earn expanded permissions through sustained reliability and lose them when performance degrades, built on Amazon Bedrock AgentCore, Amazon DynamoDB, and AWS CodePipeline.

5 ways to upgrade your home decor with Google Search

Illustration of ombre rainbow furniture items like a sofa, lamp, and chair against a purple background

Wire It, Run It, Deploy It: AI Workflows in Gradio

Say it once: introducing Bot Preference Sync

Cloudflare's new Bot Preference Sync automatically aligns your robots.txt file with your AI bot policies for Search, Agent, and Training. Easily manage which bots access your content without maintaining static files.

Build a unified AI agent architecture with DynamoDB and Bedrock

With native vector search in Amazon DynamoDB, you can store vector embeddings alongside your operational data in a single table. This post shows how to build a unified AI agent architecture where an Amazon Bedrock agent uses one DynamoDB table for both structured lookups and semantic search, with a DynamoDB Streams pipeline that keeps embeddings in sync.

5 new ways to level up your learning with Search

an illustrated image with icons and phrasing like "Add Notebook" and "Ask Google"

AI-powered clinical trial eligibility and safety using Amazon Bedrock AgentCore

AI agents built on Amazon Bedrock AgentCore help clinical trial teams make fast, accurate enrollment decisions while keeping clinicians in control. This post shows how to architect an eligibility and safety screening agent using AWS HealthLake, AgentCore, and AgentCore Evaluations.

How Much Memory Does Your Agent Actually Need?

Consistency is the new latency: AI at the data layer

As AI agents move from chatbots to taking action, their reliability depends on the consistency of the data layer beneath them. This post examines how replication lag poisons an agent's context and shows how to match Amazon Aurora, Amazon DynamoDB, and Amazon Keyspaces replication models to each task's consistency requirements.

AWS Weekly Roundup: EC2 application status checks, IAM role manager, OpenAI Daybreak on Bedrock, and more (August 17, 2026)

Last week, AWS contributors joined the OpenSearch and Valkey communities at Open Source Summit Korea 2026 and MCP DevSummit Seoul 2026 to meet open source developers and contributors. At the four-day event, community leaders and users of these Linux Foundation open source projects gathered to share knowledge, collaborate on solutions, and push the projects forward. […]

Putting sign language AI into users’ hands

Introducing sign-language-to-text (SL2T), our breakthrough model powering new sign language features for Deaf and hard of hearing users.

Build Low-Latency Multilingual Voice Agents: Open Weights & Full Deployment Control with NVIDIA Magpie TTS

Orchard: An open framework for scalable agentic AI

Orchard is an open-source framework for the research community to train and evaluate AI agents across task types. It reduces complexity while supporting strong performance from smaller models by enabling researchers to reuse the same infrastructure. The post Orchard: An open framework for scalable agentic AI appeared first on Microsoft Research .

Science One Framework: A verifiable autonomous research framework via Chain-of-Evidence

General Science

Echoverse: Deep, evolving environments for computer-use agents

Computer-use AI agents struggle with multi-step workflows like email and customer support. Echoverse trains agents in realistic environments rather than simply providing more training tasks, helping them improve as the tasks, tests, and environments evolve. The post Echoverse: Deep, evolving environments for computer-use agents appeared first on Microsoft Research .

We’re launching Lyria 3.5 in Google Flow Music, with advances across musicality, lyrics, vocals, and creative control

What does it mean to "own your intelligence"?

SymptomAI: Towards a conversational AI agent for everyday symptom assessment

General Science

Empowering India’s next generation of innovators with ATL Saathi

Google and AIM launched ATL Saathi, a Gemini-powered AI tool empowering Indian educators in robotics labs.

Start building with Nano Banana 2 Lite and Gemini Omni Flash

Introducing computer use in Gemini 3.5 Flash

Fluid, natural voice translation with Gemini 3.5 Live Translate

Gemini 3.5 Live Translate brings near real-time, natural speech translation to Google AI Studio, Google Translate and Google Meet.

Unlocking dependable responses with Gemini Enterprise Agent Platform’s Agentic RAG

Data Management