Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

A new synthesis of seismic research shows that artificial intelligence, when combined with physical principles, is rapidly ...

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...

Alonso breaks down how advances in computational fluid dynamics and physics AI are enabling designers to simulate complex ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

Published in Acta Mechanica Sinica, this forward-looking study argues that embedding physical laws into AI models is ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

“Current automated STD methods perform well under controlled conditions but degrade sharply in low SNR or with unseen targets, while standalone BCI systems suffer from high false alarm rates. To ...

Edge gateways prioritize real-time data routing by collecting, normalizing, and transmitting factory floor data to enterprise systems, focusing on uptime and speed rather than long-term storage.