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 ...
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 ...
Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...
Duncan Watson-Parris is an atmospheric physicist with appointments at UC San Diego’s Scripps Institution of Oceanography and ...
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 ...
Why is Christian Science in our name? Our name is about honesty. The Monitor is owned by The First Church of Christ, Scientist, and we’ve always been transparent about that. The church publishes the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback