Robotics & Machine Learning Daily News2024,Issue(Jan.26) :64-65.

Reports from Donghua University Advance Knowledge in Machine Learning (Accelerating Design of Glass Substrates By Machine Learning Using Small-to-medium Datasets)

Robotics & Machine Learning Daily News2024,Issue(Jan.26) :64-65.

Reports from Donghua University Advance Knowledge in Machine Learning (Accelerating Design of Glass Substrates By Machine Learning Using Small-to-medium Datasets)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news originatingfrom Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “The demand forhigh-performance displays is driving the development of glass substrates with extremely low strain variationduring manufacturing. To achieve the necessary balance of physical properties to resist strain, the traditionalcompositional design methods for glass substrates like trial-and-error and classical computational techniquesshould be optimized.”

Key words

Shanghai/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Donghua University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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