A new study by physicists and neuroscientists from the University of Chicago, Harvard and Yale describes how connectivity among neurons comes about through general principles of networking and ...

Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this prowess extend to other fields of biology as well? Contrary to expectations, a ...

Artificial intelligence has just cracked a problem that has frustrated condensed matter theorists for decades, turning a long-standing maze in frustrated magnet physics into a solved benchmark. By ...

The Standard Model is our best theory for how the universe operates, but there are some missing pieces that physicists are struggling to find. When you purchase through links on our site, we may earn ...

A tool called AI-Newton can derive scientific laws from raw data, but is some way from developing human-like reasoning. Most artificial-intelligence (AI) models can reliably identify patterns in data ...

From the outside, the high-speed collisions of atomic nuclei inside particle accelerators like CERN’s Large Hadron Collider (LHC) may seem like they have very little in common with more mundane ...

Spin glasses might turn out to be the most useful useless things ever discovered. These materials — which are typically made of metal, not glass — exhibit puzzling behaviors that captivated a small ...

Physics, especially the part about forces and motion, often feels like a maze of confusing concepts and formulas. If you’ve ever stared at a problem about an object moving or a force acting and ...

One of the best chances for proving beyond-the-standard-model physics relies on something called the Cabibbo-Kobayashi-Maskawa (CKM) matrix. The standard model insists that the CKM matrix, which ...