AI Breakthrough in Detecting New Particles at the Large Hadron Collider

Artificial intelligence is revolutionizing how new particles are detected in LHC experiments.
By training AI to recognize and differentiate between typical and atypical jets, researchers can identify potential new physics hidden within particle collisions. Recent advancements were highlighted at a physics conference, showing the progress and potential of these AI applications.

One of the primary goals of the Large Hadron Collider (LHC) experiments is to look for signs of new particles, which could explain many of the unsolved mysteries in physics. Often, searches for new physics are designed to look for one specific type of new particle at a time, using theoretical predictions as a guide. But what about searching for unpredicted – and unexpected – new particles?