Artificial intelligence and machine learning are shaping major design and research decisions for the planned Electron-Ion ...

A team of scientists has devised a machine learning algorithm that calculates, with low computational time, how the ATLAS detector in the Large Hadron Collider would respond to the ten times more data ...

A new review in Nature chronicles the many ways machine learning is popping up in particle physics research. Experiments at the Large Hadron Collider produce about a million gigabytes of data every ...

Samuel D. Lane, Ph.D., assistant professor of physics at the University of Pikeville (UPIKE), has been awarded a 2025-26 ...

Operators of Jefferson Lab's primary particle accelerator are getting a new tool to help them quickly address issues that can prevent it from running smoothly. The machine learning system has passed ...

The volume of data particle physicists have to sort through at the Large Hadron Collider is staggering, and it’s about to increase by an order of magnitude. To cope with this torrent of data, CERN is ...

A machine that will investigate the forces that hold matter together finally has a home. On Thursday, the US Department of Energy announced that the long-awaited Electron-Ion Collider (EIC), a type of ...

Ten years ago, a team operating the world’s largest particle collider made history by discovering the Higgs boson particle, a finding key to understanding the creation of the universe, earning it the ...

It’s a common comedy trope: the industrial production line that speeds up beyond the limits of the humans who must work on it. Particle physicists found themselves facing a potential Lucy-and-Ethel ...

Something is missing from the universe. Not misplaced, but structurally absent. About 85 percent of all matter in existence cannot be seen, touched, or detected by any instrument humans have built. It ...