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 ...
Generative AI is becoming ubiquitous in everyday life. Large language models like ChatGPT can help answer questions, write ...
PARAMUS, NEW JERSEY — December 7, 2021 — Savvas Learning Company, a K-12 next-generation learning solutions leader, today announced the release of Experience Physics, a brand-new phenomena-driven ...
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When should you jump? The “boiling frog” trap of AI in physics class
Artificial intelligence is sliding into physics classrooms so smoothly that it can feel like a harmless upgrade rather than a ...
Don’t know your convolutional neural networks from your boosted decision trees? Symmetry is here to help. It’s time for some deep learning. Check out this list to pick up some new terminology—and ...
image of Winners of the 2024 Nobel Prize in Physics, John J. Hopfield (left) and Geoffrey E. Hinton. Winners of the 2024 Nobel Prize in Physics, John J. Hopfield (left) and Geoffrey E. Hinton. Credit: ...
Two teams have shown how quantum approaches can solve problems faster than classical computers, bringing physics and computer science closer together. For Valeria Saggio to boot up the computer in her ...
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 ...
In his years as a physics teacher, students often asked Mark Whalley why they had to learn the subject when most of them would never directly use it in their careers. Having never been satisfied with ...
Trying to choose between an M.Sc in Physics or Applied Physics? Learn the simple differences between studying the laws of ...
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