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 ...

Machine learning has emerged as a powerful tool in condensed matter physics, offering new perspectives on the exploration of quantum many-body systems, phase transitions and exotic states of matter.

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 ...

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 ...

This year's Nobel Prize in Physics goes to John Hopfield from Princeton University and Geoffrey Hinton from the University of Toronto. This was announced by the Royal Swedish Academy of Sciences today ...

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 ...

Two pioneers in artificial intelligence, John Hopfield and Geoffrey Hinton, were awarded the Nobel Prize in Physics on Tuesday for their foundational contributions to machine learning, which is ...

STOCKHOLM – British-Canadian Geoffrey Hinton and American John Hopfield won the 2024 Nobel Prize in physics for discoveries and inventions that laid the foundation for machine learning, the Nobel ...

• A new AI machine learning algorithm capable of predicting planetary orbits that may one day help accelerate physics research in other areas such as renewable energy. • Strikingly, the algorithms ...