Robotics & Machine Learning Daily News2024,Issue(Oct.3) :137-138.

University of California Researchers Reveal New Findings on Machine Learning (Sy nergizing physics and machine learning for advanced battery management)

Robotics & Machine Learning Daily News2024,Issue(Oct.3) :137-138.

University of California Researchers Reveal New Findings on Machine Learning (Sy nergizing physics and machine learning for advanced battery management)

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Abstract

2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news reporting out of the University of Cal ifornia by NewsRx editors, research stated, "Improving battery health and safety motivates the synergy of a powerful duo: physics and machine learning." The news correspondents obtained a quote from the research from University of Ca lifornia: "Through seamless integration of these disciplines, the efficacy of ma thematical battery models can be significantly enhanced. This paper delves into the challenges and potentials of managing battery health and safety, highlightin g the transformative impact of integrating physics and machine learning to addre ss those challenges. Based on our systematic review in this context, we outline several future directions and perspectives, offering a comprehensive exploration of efficient and reliable approaches."

Key words

University of California/Cyborgs/Emerg ing Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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