Now, artificial intelligence (AI) tools are providing powerful new ways to address long-standing problems in physics. “The ...

The original version of this story appeared in Quanta Magazine. When she was 10 years old, Rose Yu got a birthday present that would change her life—and, potentially, the way we study physics. Her ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...

Artificial intelligence is revolutionizing physics by making complex concepts more intuitive, interactive, and personalized. From physics-informed neural networks to AI-powered simulations, these ...

The partnership combines GPU-native physics simulation with cloud scalability, allowing engineers to run massive, high-fidelity simulations and generate the data needed to train Physics AI models.

Methodology of the CondensNet model. CondensNet is a physically constrained DL parametrisation coupled with a climate dynamics engine to support hybrid modelling. The network architecture mainly has ...

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

From step-by-step problem solvers to intelligent tutoring systems, AI is transforming physics education with personalized, adaptive, and interactive learning. These tools can simplify complex topics, ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...

Are some fields of study more theoretical than others? Indeed, it seems that some require only documentation to instill knowledge. On the other hand, it's difficult for future specialists in medicine, ...