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 ...

“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 ...

Physics is using machine learning in quantum mechanics to learn about phase transitions. Machine learning is an exciting and growing field of computer science. Physics is using machine learning in the ...

Today, solar energy provides 2% of U.S. power. However, by 2050, renewables are predicted to be the most used energy source (surpassing petroleum and other liquids, natural gas, and coal) and solar ...

The fundamental nature of living things challenges assumptions that physicists have held for centuries.

Almost as soon as humans created machines, they attempted to make "perpetual motion machines" that work on their own and that work forever. However, the devices never have and likely never will work ...

A new review in Nature chronicles the many ways machine learning is popping up in particle physics research. Experiments at the Large Hadron Collider produce about a million gigabytes of data every ...

An overview will be given of the role of artificial intelligence (AI) in automatic delineation (contouring) of organs in preclinical cancer research models. It will be shown how AI can increase ...

Usually, the fancy physics machine known as the European Synchrotron spends its time doing fancy physics, like trying to crack the mysteries of exotic states of matter. But the device is at its heart ...