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

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 ...

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 ...

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.

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

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

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 ...

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

To act autonomously and effectively, AI agents need optimized, AI-ready processes and the process data and operational ...

For agents, the value is clearer still: structured JSON output, reusable commands and built-in skills that let models ...