Alex Drlica-Wagner of Fermilab and other researched deployed an AI learning model where to point a telescope and predict what happened next, then compare its guess with what the humans actually did and made it correct itself.

DUNE researchers are preparing for data analysis by developing AI systems to sort through huge amounts of data, identify neutrino interactions, spot signs of a stellar explosion and even detect problems inside the detector.

The University of Alabama and Fermilab received an award from the Genesis Mission to build an AI tool to help sift through floods of data, speeding up the pace of discovery so scientists can focus on the science itself.

A four-year project to produce two HL-ZDCs for one of the CMS collider’s main detectors was approved for funding. The detectors will be fabricated and assembled at KU’s Mechanical Prototyping Lab, tested with high-energy particle beams at Fermilab and installed at CERN for the next phase of physics research at the supercollider.