Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of ...

By combining physics-based methods with machine learning, a team at the Institute of Thermodynamics and Sustainable ...

By combining physics-based methods with machine learning, a team at the Institute of Thermodynamics and Sustainable Propulsion Systems at TU Graz is ...

Overall, the application of the Variational Autoencoder not only enhances the analytical capabilities of quantum simulations but also offers new perspectives for understanding the physical properties ...

A research team has studied the development of the Shanghai Typhoon Model from a traditional physics-based regional model ...

Amid high expectations for quantum technology, a new paper in Science reports a proven quantum advantage. In an experiment, ...

Understanding machine learning modifies cold atmospheric plasma medicine delivery in cancer treatments without being trained on detailed plasma parameters.

In the rapid development of quantum computing and sensor technology, accurately simulating the behavior of atomic-level materials is particularly important. However, traditional simulation methods ...

New research program seeks ‘energy-aware’ ML that balances performance with power draw It's notoriously difficult to consistently measure the energy usage of AI models, but DARPA wants to put an end ...

Global electricity use is increasing rapidly and must be addressed sustainably. Developing new materials could give us much ...