How AI Mode is changing the way people search in the U.S.
One year after launch, see how AI Mode’s users are shifting from keywords to natural language queries. ​Â
How AI Mode is changing the way people search in the U.S. Read More »
One year after launch, see how AI Mode’s users are shifting from keywords to natural language queries. ​Â
How AI Mode is changing the way people search in the U.S. Read More »
At Google I/O 2026, we shared how we’re making AI more helpful for everyone. See everything we announced. ​Â
Introducing a $100 AI Ultra plan — plus, new features and benefits for Google AI Plus, Pro and Ultra subscribers. ​Â
Everything new in our Google AI subscriptions, fresh from I/O 2026 Read More »
We shared the next step in our journey to bring together the best of a search engine with the best of AI. ​Â
A new era for AI Search Read More »
The latest from Google I/O: See how we’re helping you get more done with Gemini. ​Â
I/O 2026: Welcome to the agentic Gemini era Read More »
At Google I/O we released Gemini 3.5, our latest series of models combining frontier intelligence with action. ​Â
Gemini 3.5: frontier intelligence with action Read More »
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
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
Extending conversational memory in Kiro CLI using Amazon Bedrock AgentCore Memory Read More »
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,
Accelerate ML feature pipelines with new capabilities in Amazon SageMaker Feature Store Read More »
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
Implementing programmatic tool calling on Amazon Bedrock Read More »