Machine learning and the physical sciences
Giuseppe CarleoCenter for Computational Quantum Physics, Flatiron Institute, 162 5th Avenue, New York, New York 10010, USAJ. I. CiracCenter for Computational Quantum Physics, Flatiron Institute, 162 5th Avenue, New York, New York 10010, USAK. CranmerCenter for Computational Quantum Physics, Flatiron Institute, 162 5th Avenue, New York, New York 10010, USALaurent DaudetCenter for Computational Quantum Physics, Flatiron Institute, 162 5th Avenue, New York, New York 10010, USAMaria SchuldCenter for Computational Quantum Physics, Flatiron Institute, 162 5th Avenue, New York, New York 10010, USANaftali TishbyCenter for Computational Quantum Physics, Flatiron Institute, 162 5th Avenue, New York, New York 10010, USALeslie Vogt-MarantoCenter for Computational Quantum Physics, Flatiron Institute, 162 5th Avenue, New York, New York 10010, USALenka ZdeborováCenter for Computational Quantum Physics, Flatiron Institute, 162 5th Avenue, New York, New York 10010, USA
2019en
ABI
Abstract
In October 2018 an APS Physics Next Workshop on Machine Learning was held in Riverhead, NY. This article reviews and summarizes the proceedings of this very broad, emerging field.This needs to be a placard in the left-hand column, with a custom tag.
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Cited by 20 references