A new group-evolving agent framework from UC Santa Barbara matches human-engineered AI systems on SWE-bench — and adds zero ...

Agentic AI systems have gone mainstream over the past year. They are now being used for several functions, including authenticating users, moving capital, triggering compliance workflows, and ...

Google ships WebMCP protocol, letting websites expose structured functions to AI agents and reducing computational overhead ...

Systems biology modeling is entering a new phase. For decades, computational models—ODE and PDE systems, stochastic simulations, constraint-based networks, ...

The integration of deep reinforcement learning with PD control in humanoid robots enhances gait stability and patient comfort during lower limb rehabilitation.

New Relic is giving enterprises more observability tools, letting them create and manage AI agents, and better integrate OTel ...

Moltbook, a Reddit for AI agents, sparked viral chatter, lobster-based lore and deeper questions about agent interaction and human projections on AI.

AI models are pushing against three frontiers at once: raw intelligence, response time, and a third quality you might call ...

The writers are "actively working" on season four as they await an official pick up of the Gabriel Basso-starring secret agent series.