Science wonderland at the San Francisco Giants ballpark draws a science-enthusiastic crowd of 35,000 visitors.

After losing its first match of the day to the defending champions, The Harker School’s team won 10 consecutive rounds to claim victory in...

A SLAC-Stanford team developed a new way to precisely measure just how much energy has dissipated into heat in an electrical system – and...

SLAC and Stanford scientists used ultrafast electrons and a laser to reveal an unexpectedly strong optical response to ionization, opening new possibilities for radiological...

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?