Imagine being able to program materials to control heat like you can control a light with a dimmer switch. By simply ...

Machine learning is becoming an essential part of a physicist’s toolkit. How should new students learn to use it? When Radha Mastandrea started her undergraduate physics program at MIT in 2015, she ...

Researchers at Lehigh University are developing a faster, more accurate way to predict how metals solidify during 3D printing ...

One of the key steps in developing new materials is property identification, which has long relied on massive amounts of ...

John Hopfield and Geoffrey Hinton won the Nobel Prize in Physics for their foundational work in artificial intelligence. Hinton, known as the godfather of AI, is a dual citizen of Canada and Britain, ...

For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater ...

The Nobel Prize in Physics was awarded to US scientist John Hopfield and British-Canadian researcher Geoffrey Hinton for their work in the field of machine learning, the Royal Swedish Academy of ...

Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...

The steady rise of electric vehicles and renewable energy systems has pushed batteries to the limit. With cars, drones, and ...

In developing drugs using a platform that joins physics with machine learning, Schrödinger sees more than a passing resemblance to the studio whose Toy Story and other computer-generated movies ...