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A simple physics-inspired model sheds light on how AI learns

Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...
Symmetry Magazine

Tomorrow’s physics test: machine learning

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 ...
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Harvard physicists model neural network learning with physics tools

Harvard University physicists have created a simplified mathematical model to study how neural networks learn, using statistical physics to uncover underlying patterns. The approach, likened to early ...
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Harvard physicists create physics-inspired model to decode AI learning

Harvard University physicists have developed a simplified, physics-inspired mathematical model to better understand how neural networks learn. Published in the Journal of Statistical Mechanics, the ...
The Harvard Crimson

AI Wrote A Harvard Physicist’s Most Recent Paper. No One Knows What It Means for Science.

As LLM calculation skills advance, theoretical fields of science are reckoning with the possibility that they could be ...

Breaking connections helps ideas spread farther, says physics-based study

Sticking with the same people might feel safe and comfortable. But a new Northwestern University study suggests it can ...