Physics AI engineering simulation tools reached production at General Motors this week, cutting a two-week aerodynamics cycle ...

Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...

Researchers in Sweden have developed a machine-learning approach that embeds the laws of physics directly into neural ...

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 ...

Exponential growth in big data and computing power is transforming climate science, where machine learning is playing a critical role in mapping the physics of our changing climate. "What is happening ...

Scientists have begun turning to new tools offered by machine learning to help save time and money. In the past several years, nuclear physics has seen a flurry of machine learning projects come ...

Researchers at the University of California San Diego and the Allen Institute for AI have built a climate emulator that ...

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 ...

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 ...