Robotics & Machine Learning Daily News2024,Issue(Aug.9) :71-72.

Reports Outline Machine Learning Study Results from Swiss Federal Institute of T echnology Lausanne (EPFL) (Wigner kernels: Bodyordered equivariant machine lear ning without a basis)

Robotics & Machine Learning Daily News2024,Issue(Aug.9) :71-72.

Reports Outline Machine Learning Study Results from Swiss Federal Institute of T echnology Lausanne (EPFL) (Wigner kernels: Bodyordered equivariant machine lear ning without a basis)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting out of Lausanne, Swit zerland, by NewsRx editors, research stated, “Machine-learning models based on a point-cloud representation of a physical object are ubiquitous in scientific ap plications andparticularly well-suited to the atomic-scale description of molec ules and materials.”Financial supporters for this research include National Center of Competence in Research Materials’Revolution: Computational Design And Discovery of Novel Mate rials; Platform For Advanced ScientificComputing.

Key words

Swiss Federal Institute of Technology La usanne (EPFL)/Lausanne/Switzerland/Europe/Cyborgs/Emerging Technologies/Ma chine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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