Google launches managed MCP servers that let AI agents securely access Maps, BigQuery, Compute and Kubernetes services.

TPUv7 offers a viable alternative to the GPU-centric AI stack has already arrived — one with real implications for the economics and architecture of frontier-scale training.

Google Cloud expanded support for agentic AI standard model context protocol (MCP) to all Google and Google Cloud services ...

Google is rolling out managed MCP servers to make its services “agent-ready by design,” starting with Maps and BigQuery, ...

S&P Global partners with Google Cloud to advance its enterprise AI strategy, aiming to boost AI capabilities across business ...

Firebase Studio lets you build complete projects fast with templates for Next.js, Express, and Flutter, so you launch working ...

In brief: Google introduced Android XR, its answer to Apple's visionOS, in 2024. In October of this year, Samsung released the first headset for Google's platform, which undercut the Apple Vision Pro ...

Fetch.ai has partnered with Google Cloud to expand its Agentverse platform, enabling broader access to multi-agent ...

From GPT to Claude to Gemini, model names change fast, but use cases matter more. Here's how I choose the best model for the ...

Interview with GAIMIN CEO Nokkvi on why decentralized infrastructure is reshaping cloud economics and how distributed compute ...

These 20 technologists, entrepreneurs, corporate leaders, and creative thinkers are pushing artificial intelligence in ...

The result is a proprietary model, which Amazon calls “Novellas”, deployed in the AWS Bedrock AI-as-a-service platform.