As artificial intelligence explodes in popularity, two of its pioneers have nabbed the 2024 Nobel Prize in physics. The prize surprised many, as these developments are typically associated with ...

One of the things that makes the main particle accelerator at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility unique is that it was the first linear accelerator to ...

Princeton Plasma Physics Laboratory published a new paper last week, marking significant results from the lab’s artificial intelligence research. In the paper, published in Nature Communications, PPPL ...

US scientist John Hopfield and British-Canadian researcher Geoffrey Hinton have won the Nobel Prize in Physics for creating the "building blocks of machine learning," the Royal Swedish Academy of ...

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 ...

A Georgia Tech-led review paper recently published in Nature Reviews Physics is exploring the ways machine learning is revolutionizing the field of climate physics — and the role human scientists ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

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 ...

In developing drugs using a platform that joins physics with machine learning, Schrödinger sees more than a passing resemblance to the studio whose Toy Story and other computer-generated movies ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...