Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...

If human sensorimotor intelligence can be recovered as a learned model, systems can be trained that map perception into ...

While vision and language are key parts of physical AI, physical state recovery will enable robots to interact with the world ...

Shanghai-based Fysics AI says Fysiverse is a ‘new-generation physics-based world model that adheres to real-world physical ...

Abstract: Seismic wavelet interference limits the vertical resolution of seismic data, making it challenging to accurately characterize subsurface geological structures. Seismic reflectivity ...

"Newton Agents change how AI is deployed in the physical world," said Ivan Poupyrev, Co-founder and CEO of Archetype AI. "The era of bespoke, one-off AI models is ending. With Newton Agents, ...

Owners of certain Tesla Model 3 and Model Y vehicles face a serious risk: their cars can lose propulsion without warning ...

Tech leaders from Elon Musk and Jensen Huang to a slew of startup founders and their venture-capitalist backers say robotics is headed for a “ChatGPT moment” where AI enables a wide range of physical ...

As the US demonstrates it can wield an AI ‘kill switch’, the EU and UK unleash a wave of sovereign-tech measures. Can ...

Abstract: Deep neural networks are known to be vulnerable to adversarial examples, where adding carefully crafted adversarial perturbations to the inputs can mislead the DNN model. However, it is ...

Researcher Devashri Datta introduces AIVEX and SRIL, new approaches designed to bring context-aware risk analysis to software ...