Dark matter makes up about 85% of all matter in the universe, yet its true identity remains one of the biggest cosmological mysteries. At SLAC, researchers are searching high and low to find answers.

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...

How do you solve a problem like big data?

The long and continuing quest to understand dark energy has entered exciting new territory.

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

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

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

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

Do you know your convolutional neural networks from your boosted decision trees?

Physicists in the United States support the development of an off-shore Higgs Factory.

Michael Riordan has spent decades ruminating on the history of physics, including events he participated in himself.

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