Dyad AI from JuliaHub is bringing an AI-for-Science environment to product development. Users can model and interrogate ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...

Fainite is developing a physics-aware AI platform to accelerate simulation workflows, reduce engineering complexity and ...

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.

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 ...

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 ...

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 ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

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, ...

A milestone in biology has been achieved thanks to artificial intelligence (AI) machine learning and applied physics. A new peer-reviewed study by researchers affiliated with Harvard John A. Paulson ...