CERN: Neural Networks Replace Physicists at LHC

On February 19, 2026, the CMS collaboration at CERN reported the implementation of a machine learning algorithm to reconstruct particle collisions. Neural networks process Large Hadron Collider data faster and more accurately than traditional code.

This is a quiet but fundamental revolution in experimental physics. Algorithms are no longer written manually based on theory; the AI itself "understands" the physics of the process from data arrays. The scientists' toolkit is changing irrevocably.

Source: Phys.org / CERN