Robotics & Machine Learning Daily News2024,Issue(Dec.30) :23-24.

Data from Institute of Astronomy and Astrophysics Provide New Insights into Mach ine Learning (Balance equations for physicsinformed machine learning)

Robotics & Machine Learning Daily News2024,Issue(Dec.30) :23-24.

Data from Institute of Astronomy and Astrophysics Provide New Insights into Mach ine Learning (Balance equations for physicsinformed machine learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on artificial intelligence are discussed in a new report. According to news reportingoriginating from the Inst itute of Astronomy and Astrophysics by NewsRx correspondents, research stated,“ Using traditional machine learning (ML) methods may produce results that are inc onsistent with thelaws of physics. In contrast, physics-based models of complex physical, biological, or engineering systemsincorporate the laws of physics as constraints on ML methods by introducing loss terms, ensuring that theresults are consistent with these laws.”

Key words

Institute of Astronomy and Astrophysics/Cyborgs/Emerging Technologies/Laws Of Physics/Machine Learning/Physics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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