Nobel Laureate Peter Higgs died earlier this year. Twelve years ago this week, physicists discovered the particle that bears his name.

Bahcall’s scientific legacy is visible across the field of astrophysics

Physicists are preparing for the next generation of dark-matter experiments. 

Raphael Granier De Cassagnac recently put his scientific skills to use creating a physics-themed video game.

The largest camera ever built for astrophysics has completed the long journey from SLAC National Accelerator Laboratory in California to the summit of Cerro Pachón in Chile.

Machine learning is becoming an essential part of a physicist’s toolkit. How should new students learn to use it?

Physics may seem like its own world, but different sectors using machine learning are all part of the same universe. 

Scientists inside and outside of particle physics and astrophysics are leaning on AI for assistance with complex tasks.

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries?

For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater complexity.