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 ...
Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the flood of data generated by ...
Morning Overview on MSN
Scientists stunned as 'magic' particles suddenly appear in LHC
At CERN’s Large Hadron Collider on the edge of Geneva, scientists have reported a surprising twist in the behavior of matter.
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 ...
Machine learning could help reveal undiscovered particles within data from the Large Hadron Collider
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 ...
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