Instead of one central AI system doing everything, the model emerging here is many bounded agents operating across teams, channels and tasks.

Qdrant's $50M Series B and version 1.17 release make the case that agentic AI didn't simplify vector search — it scaled the ...

Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — ...

When a worker thread completes a task, it doesn't return a sprawling transcript of every failed attempt; it returns a compressed summary of the successful tool calls and conclusions.

FriendliAI — founded by the researcher behind continuous batching, the technique at the core of vLLM — is launching InferenceSense, a platform that fills idle neocloud GPU capacity with paid AI ...

Drug discovery has traditionally been a reductive process—narrowing down, filtering out, and optimizing within established ...

Some roads never relax, and safety can suffer. Commuter corridors funnel workers toward bridges and major employers, which ...

Connor Freeborn, Nicole Kaylor, Emma Mango, Danny Nilsen, Alana North, Angela Pezzello, Carly Rizzo, Brittany Rosenfeld, and Kendall Simmons Elevated ...

Creates a single platform where product-trained AI agents handle every revenue-critical product experience from the first product tour through live de ...

Perplexity announced Computer for Enterprise at its Ask 2026 developer conference, launching a multi-model AI agent with ...

The iGarden Swim Jet X Series has officially been unveiled as the world’s first AI-powered portable swim jet. Launched on Kickstarter on March 12th at 9:00 AM PDT, the X Series marks a fundamental ...

Microsoft is launching Agent 365 and the new Microsoft 365 Enterprise E7 on May 1 to govern and secure enterprise AI ...