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 ...
As LLM calculation skills advance, theoretical fields of science are reckoning with the possibility that they could be ...
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 ...
Prefer Newsweek on Google to see more of our trusted coverage when you search. John Hopfield and Geoffrey Hinton were awarded the 2024 Nobel Prize in physics on Tuesday for their contributions to ...
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 ...
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 ...
I'll admit it, I'm a math guy. And recently, I've tried to express the emerging power of large language models (LLMs) in many aspects of life—including education. And it got me thinking: What if ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results