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Announcing new voice capabilities in Gmail, Docs and Keep, a new design tool called Google Pics and updates to AI Inbox. ​ 

One year after launch, see how AI Mode’s users are shifting from keywords to natural language queries. ​ 

At Google I/O 2026, we shared how we’re making AI more helpful for everyone. See everything we announced. ​ 

Introducing a $100 AI Ultra plan — plus, new features and benefits for Google AI Plus, Pro and Ultra subscribers. ​ 

We shared the next step in our journey to bring together the best of a search engine with the best of AI. ​ 

Design patterns for scalable voice agents matter for organizations that need to deliver fast, natural, and reliable voice experiences. Many teams face challenges like high latency, managing real-time audio, and coordinating multiple agents in complex workflows. In this post, you’ll learn how to use Amazon Nova Sonic, Amazon Bedrock AgentCore, and Strands BidiAgent to build

Agentic IDEs that forget what you told them in previous sessions aren’t very helpful. You work on your large codebase with complex business requirements for days or weeks. However, your IDE only remembers you during your current session and can’t recall your conversational history, preferences derived from the conversations, or additional insights. You end up

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. It now supports Apache Iceberg table format, streaming ingestion, scalable batch ingestion, and fine-grained access control through AWS Lake Formation. As organizations scale their machine learning platforms from experimentation to production, two operational challenges

Programmatic tool calling (PTC) is a paradigm shift in how large language models (LLMs) interact with external tools. In a traditional tool-calling workflow, each tool invocation requires a full round trip back to the model. The model calls a tool, receives the result, reasons about it, calls the next tool, and so on. For workflows

If you moderate user-generated content at scale, you need a system that catches policy violations accurately without over-flagging legitimate posts. A moderation system that misses harmful content puts you at risk, while one that flags too aggressively frustrates your audience. Every organization defines its own policies, so a single classifier rarely works for every use