A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...
The observational track of Typhoon "Danas" (solid line) along with forecasted paths (dashed lines) depicted on the FY-4B satellite visible light imagery at 08:00 BST on July 6, 2025. The dashed lines ...
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 ...
STARKVILLE, Miss.—Mississippi State Professor of Physics Dipangkar Dutta is a principal investigator on a groundbreaking experiment—revealing “symmetry” in physics doesn’t always behave as scientists ...
Imagine trying to prove that 1+1=2, but when you do the calculations, it turns out that the result is off by 0.1%. That scenario is similar to the riddle that’s facing physicists worldwide as they try ...
A groundbreaking experiment--reveals 'symmetry' in physics doesn't always behave as scientists once believed. Mississippi State Professor of Physics Dipangkar Dutta is a principal investigator on a ...
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