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 ...
Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations 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 research team has studied the development of the Shanghai Typhoon Model from a traditional physics-based regional model ...
Princeton Plasma Physics Laboratory published a new paper last week, marking significant results from the lab’s artificial intelligence research. In the paper, published in Nature Communications, PPPL ...
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 ...
Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...
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Neural network solves 50-year-old physics puzzle
A landmark has been reached in the field of physics and artificial intelligence with the successful resolution of a ...
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