Selecting interesting proton–proton collisions from the millions taking place each second in the Large Hadron Collider is a challenging task. A neural network optimized for a field-programmable gate array hardware enables 60 ns inference and reduces power consumption by a factor of 50.
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Rousseau, D. Resource-efficient inference for particle physics. Nat Mach Intell 3, 656–657 (2021). https://doi.org/10.1038/s42256-021-00381-4
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DOI: https://doi.org/10.1038/s42256-021-00381-4
