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. Particle physicists are tasked with mining this massive ...
Daniel Ratner, head of SLAC's machine learning initiative, explains the lab's unique opportunities to advance scientific discovery through machine learning. DOE/SLAC National Accelerator Laboratory ...
Fully automated 'deep learning' by computers greatly improves the odds of discovering particles such as the Higgs boson, beating even veteran physicists' abilities, according to new findings. Fully ...
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