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 ...

Despite having just 3 billion parameters, Ferret-UI Lite matches or surpasses the benchmark performance of models up to 24 times larger.

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 during lower limb rehabilitation.

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

GPT-5.4 is out now on ChatGPT (where it goes by the name GPT-5.4 Thinking) as well as on the OpenAI API and OpenAI’s coding ...

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

Luma introduced Luma Agents, powered by its new “Unified Intelligence” models, designed to coordinate multiple AI systems and ...

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.