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 ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that ...

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 ...

Claude Opus 4.6 AI agents built a Rust-based C compiler in two weeks The compiler passed 99 percent of GCC torture tests and compiled the game Doom Anthropic's AI can handle complex software ...

VS Code's AI Toolkit and Microsoft Foundry can speed up agent development, but real-world success often depends on picking the right runtime and region, keeping tool-driven context under control, and ...

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

The latest model comes with native computer use capabilities, allowing it to take on jobs across your device and applications ...

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

WebMCP exposes structured website actions for AI agents. See how it works, why it matters, and how to test it in Chrome 146.

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