Robotics & Machine Learning Daily News2024,Issue(Apr.15) :107-108.

California Institute of Technology (Caltech) Details Findings in Machine Learnin g (Improved Machine Learning Algorithm for Predicting Ground State Properties)

Robotics & Machine Learning Daily News2024,Issue(Apr.15) :107-108.

California Institute of Technology (Caltech) Details Findings in Machine Learnin g (Improved Machine Learning Algorithm for Predicting Ground State Properties)

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Abstract

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).

Key words

Pasadena/California/United States/Nor th and Central America/Algorithms/Cyborgs/Emerging Technologies/Machine Lear ning/California Institute of Technology (Caltech)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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