Machine learning has emerged as a powerful tool in condensed matter physics, offering new perspectives on the exploration of quantum many-body systems, phase transitions and exotic states of matter.

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

Generative AI is becoming ubiquitous in everyday life. Large language models like ChatGPT can help answer questions, write ...

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: ...

As enrollment numbers for the introductory chemistry and physics courses reach around 600 students each this semester, the need to understand how students learn in STEM classes only becomes more ...

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 ...

Artificial intelligence is sliding into physics classrooms so smoothly that it can feel like a harmless upgrade rather than a ...

Understanding the quantum universe is not an easy thing. Intuitive notions of space and time break down in the tiny realm of subatomic physics, allowing for behavior that seems, to our macro ...

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 ...