Robotics & Machine Learning Daily News2024,Issue(Sep.23) :38-39.

Aristotle University of Thessaloniki Reports Findings in Machine Learning (Harne ssing machine learning for efficient large-scale interatomic potential for silde nafil and pharmaceuticals containing H, C, N, O, and S)

Robotics & Machine Learning Daily News2024,Issue(Sep.23) :38-39.

Aristotle University of Thessaloniki Reports Findings in Machine Learning (Harne ssing machine learning for efficient large-scale interatomic potential for silde nafil and pharmaceuticals containing H, C, N, O, and S)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news reporting originating in Thessaloniki, Greece, by NewsRx journalists, research stated, “In this study a cutting-edge approach to p roducing accurate and computationally efficient interatomic potentials using mac hine learning algorithms is presented. Specifically, the study focuses on the ap plication of Allegro, a novel machine learning algorithm, running on high-perfor mance GPUs for training potentials.” Financial support for this research came from European Cooperation in Science an d Technology.

Key words

Thessaloniki/Greece/Europe/Agents For Pulmonary Hypertension/Cardiovascular Agents/Cyborgs/Drugs and Therapies/Em erging Technologies/Genitourinary Tract Agents/Health and Medicine/Impotence Agents/Machine Learning/Molecular Dynamics/Pharmaceuticals/Phosphodiesterase Inhibitors/Physics/Sildenafil Therapy/Vasodilator Agents

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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