Robotics & Machine Learning Daily News2024,Issue(Jan.24) :61-62.

Investigators at University of Florida Report Findings in Machine Learning (Classification of the Mechanisms of Liquid Metal Embrittlement Via Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Jan.24) :61-62.

Investigators at University of Florida Report Findings in Machine Learning (Classification of the Mechanisms of Liquid Metal Embrittlement Via Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news originating from Gainesville, Florida, by NewsRx correspondents, research stated, “Predicting liquid metal embrittlement(LME) between arbitrary liquid-solid metal pairs is particularly challenging; conflicting reports inthe literature have prevented the creation of generalized predictive models. Recent advances have shiftedthe LME paradigm from binary-embrittlement either occurs or does not occur-to multiple, potentiallycooperative mechanisms.”

Key words

Gainesville/Florida/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/University of Florida

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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