Acoustic jamming during bat emergence is weaker than expected because signal redundancy, echo integration, and simple movement rules enable robust navigation, as demonstrated by an agent‑based sensory ...

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 ...

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.

A ModelScope MS-Agent vulnerability allows attackers to feed malicious commands to AI agents and modify system files or steal ...

OpenAI’s internal AI data agent searches 600 petabytes across 70,000 datasets, saving hours per query and offering a blueprint for enterprise AI agents.

Google Agent Skills address context bloat; skills load on demand from skill.md files with YAML front matter, reducing ...

Having long ago seen the handwriting on the wall for the journalism profession with the debut of GenAI, I decided to just cut to the chase and build my replacement now.

Dyad AI from JuliaHub is bringing an AI-for-Science environment to product development. Users can model and interrogate ...