Maze magnetic domains in soft magnetic materials strongly influence energy loss in electric motors, particularly at high ...

Unlike large language models trained on vast internet corpora, embodied AI systems must learn through interaction with the ...

Physical AI in factories and plants requires lightweight maths models, not token-hungry language models, says NTT Data. It ...

Interactions between pairs of humans lead to the emergence of a dyadic vigor with similar characteristics as individual vigor, where both partners adapt, with the slower having a critical role.

A team at Rice University has built a lab platform that can map the activity of more than 10 million protein variants in a ...

World models are getting substantial funding. What is a world model, how does it compare to a large language model, and what ...

Wearable device data may help detect and track idiopathic pulmonary arterial hypertension, a rare lung disease, a study ...

Physical Intelligence has reported that its latest robotics model, π0.7, can guide robots through tasks outside its training ...

From robotics to real-time analytics, connectivity is becoming a critical constraint on how far manufacturers can take ...

Adrian Macneil has a solid understanding of this space. As an executive at the self-driving startup Cruise, he built the ...

Physical AI moves intelligence to the edge, enabling instant, reliable decisions where cloud can’t reach.

Blueprint enables massive-scale data processing and curation, synthetic data generation, reinforcement learning and evaluation of physical AI models for vision AI agents, robotics and autonomous ...