In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

ThinkLabs AI, a company specializing in AI-driven grid solutions, today announced results in collaboration with Southern California Edison (SCE) using physics-informed AI digital twins to model and ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

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

Formula 1 teams live in a world where a single misjudged flick of carbon fiber can decide a championship. Aerodynamicists are ...

AI could accelerate the energy transition, but widespread adoption is stalled by unresolved trust, risk and governance concerns across sectors.

Quantum computers are shifting from lab curiosities into real machines that can already outperform classical systems on ...

As China's homegrown AI technology accelerates toward large-scale real-world applications, the education sector has emerged ...