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 ...

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 ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

Artificial neural networks mimic human brains, but the technology has its roots in physics. Thom Leach/Science Photo Library via Getty Images If your jaw dropped as you watched the latest AI-generated ...

In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and machine learning (ML) are making waves with how they're increasing ...

A team of scientists at Los Alamos National Laboratory is applying machine-learning algorithms to subsurface imaging that will impact a variety of applications, including energy exploration, carbon ...

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.

Expectations were running high. For months, the Stanford Linear Collider (SLC), an innovative particle accelerator nearing completion at the Stanford Linear Accelerator Facility (SLAC) in Palo Alto, ...

Machine learning can get a boost from quantum physics. On certain types of machine learning tasks, quantum computers have an exponential advantage over standard computation, scientists report in the ...

To attract and assist outstanding experimentalists and hands-on undergraduate and graduate students, the physics department maintains a dedicated machine shop to support the research and teaching ...