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 ...

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 ...

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 ...

• 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 ...

In 2018, climate simulations were the third-largest use of computing cycles at a leading U.S. supercomputing cluster. The study of quarks and other subatomic particles came in second. Topping the list ...

“God does not play dice with the universe,” Albert Einstein is reported to have said about the field of Quantum Physics. He was referring to the great divide at the time in the physics community ...

"Machine learning algorithm helps unravel the physics underlying quantum systems." ScienceDaily. www.sciencedaily.com / releases / 2021 / 04 / 210429112412.htm (accessed December 17, 2025).

A schematic illustrating how a neural network is used to match data from scanning tunneling microscopy to a theoretical hypothesis. Credit: Cornell University Understanding electrons' intricate ...