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

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

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 ...

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 ...

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

Bio: Taylor is a senior in the Honors program at Fordham University majoring in Computer Science and minoring in Cybersecurity and French. She is also in the accelerated program for her MS in Data ...

Humanity’s latest, greatest invention is stalling right out of the gate. Machine learning projects have the potential to help us navigate our most significant risks — including wildfires, climate ...