The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the ...
At CERN’s Large Hadron Collider on the edge of Geneva, scientists have reported a surprising twist in the behavior of matter.
Scientists used a neural network, a type of brain-inspired machine learning algorithm, to sift through large volumes of particle collision data. For over two decades, the ATLAS particle detector has ...
An innovative algorithm for detecting collisions of high-speed particles within nuclear fusion reactors has been developed, inspired by technologies used to determine whether bullets hit targets in ...