首页|Investigators at University of Florida Report Findings in Machine Learning (Classification of the Mechanisms of Liquid Metal Embrittlement Via Machine Learning)
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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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.”
GainesvilleFloridaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniversity of Florida
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