Machine learning (ML) has rapidly become one of the most influential technologies across industries, from healthcare and ...

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

Machine learning systems face a new class of security threats—sophisticated attacks that target the very foundation of how ...

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...