首页|California Institute of Technology (Caltech) Details Findings in Machine Learnin g (Improved Machine Learning Algorithm for Predicting Ground State Properties)
California Institute of Technology (Caltech) Details Findings in Machine Learnin g (Improved Machine Learning Algorithm for Predicting Ground State Properties)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Machine Learning is now available. According to news originating from Pasadena,California, by NewsRx corresponden ts, research stated, “Finding the ground state of a quantum manybodysystem is a fundamental problem in quantum physics. In this work, we give a classical mach inelearning (ML) algorithm for predicting ground state properties with an induc tive bias encoding geometriclocality.”Financial supporters for this research include Caltech Summer Undergraduate Rese arch Fellowship(SURF), Barry M. Goldwater Scholarship, Mellon Mays Undergraduat e Fellowship, Google Incorporated,MediaTek Research Young Scholarship, United S tates Department of Energy (DOE), United States Departmentof Energy (DOE), Nati onal Science Foundation (NSF).
PasadenaCaliforniaUnited StatesNor th and Central AmericaAlgorithmsCyborgsEmerging TechnologiesMachine Lear ningCalifornia Institute of Technology (Caltech)
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