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.

Physicists work with computer scientists in academia and industry to advance machine learning.

Don’t know your convolutional neural networks from your boosted decision trees? Symmetry is here to help.

In the coming weeks, Symmetry will explore the ways scientists are using artificial intelligence to advance particle physics and astrophysics—in a series of articles written and illustrated entirely by humans.

The US physics community dreams of building a muon collider.

With just its first year of data, DESI has surpassed all previous 3D spectroscopic maps combined and confirmed the basics of our best model of the universe.

Once set in place atop a telescope in Chile, the 3,200-megapixel LSST Camera will help researchers better understand dark matter, dark energy and other mysteries of our universe.

The Particle Physics Project Prioritization Panel recently recommended, among their top priorities for the next decade, moving forward with two experiments based at the South Pole. 

An advisory committee recommends the US work to advance three key areas of emerging accelerator technology.

Berkeley Lab researchers are developing an approach to avoid sudden, potentially destructive energy releases in a new generation of superconducting magnets.