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

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 ...

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 ...

From adaptive problem sequencing to physics-informed simulations, AI is transforming how students learn and apply physics. New tools now guide learners step-by-step, visualize complex concepts, and ...

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

In today's podcast, Ilona talks with Tim Stelzer, a theoretical particle physicist and a research Associate Professor of Physics at the University of Illinois. Over the past few years, Tim has created ...

Machine learning can get a boost from quantum physics. On certain types of machine learning tasks, quantum computers have an exponential advantage over standard computation, scientists report in the ...

America has a physics problem. Research shows that access to physics education varies based on race, gender, sexuality and disability. Physics courses are usually standard offerings in suburban high ...