AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.

Moonshot AI’s Kimi K2.5 Reddit AMA revealed why the powerful open-weight model is hard to run, plus new details on agent ...

Watch an AI agent learn how to balance a stick—completely from scratch—using reinforcement learning! This project walks you through how an algorithm interacts with an environment, learns through trial ...

Microsoft introduces Rho-alpha, an AI that understands human commands and controls two-armed robots with near-human precision.

A new systematic review, Operational AI for Multimodal Urban Transport: A Systematic Literature Review and Deployment ...

Physical AI marks a transition from robots as programmed tools to robots as adaptable collaborators. That transition will ...

Startorus Fusion, a Chinese startup that leverages artificial intelligence (AI) to enhance fusion performance, ...

The Rho-alpha model incorporates sensor modalities such as tactile feedback and is trained with human guidance, says ...

San Francisco-based AI lab Arcee made waves last year for being one of the only U.S. companies to train large language models (LLMs) from scratch and release them under open or partially open source ...

Hosted by the Wu Tsai Neurosciences Institute, professor Dani Bassett’s talk explored how neurological approaches to human behavior can allow us to modify our real-world information systems.