Researchers have long sought to model how carbon atoms interact with metal surfaces to form graphene and other carbon materials. Developing this capability would elucidate the growth mechanisms of ...

Machine learning is changing the front end of drug discovery, where researchers decide which targets to pursue and which molecules deserve costly laboratory work. Its deeper test lies further ...

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 ...

While it might be tempting to view “active learning” as another educational buzzword, a large body of research demonstrates that active and collaborative classrooms produce deeper and more ...

The rapid acceleration of AI adoption across industries is reshaping not only products, but also the engineering roles that support them. As organizations move machine learning systems from ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...