Speeding up machine learning for particle physics

Machine learning is everywhere. For example, it's how Spotify gives you suggestions of what to listen to next or how Siri answers your questions. And it's used in particle physics too, from theoretical calculations to data analysis. Now a team including researchers from CERN and Google has come up with a new method to speed up deep neural networks—a form of machine-learning algorithms—for selecting proton–proton collisions at the Large Hadron Collider (LHC) for further analysis. The technique, described in a paper just published in Nature Machine Intelligence, could also be used beyond particle physics.

from News on Artificial Intelligence and Machine Learning https://ift.tt/2SMfn4L

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