UChicago-led team builds an AI data filter for CERN’s Large Hadron Collider, addressing the challenge of saving relevant collision data from the machine’s extraordinary speeds. Led by Zixin Ding, the award-winning research merges computer science and physics to help experiments make faster decisions, staying within strict limits.