Robotics & Machine Learning Daily News2024,Issue(Oct.24) :21-22.

Research from University of Science and Technology Beijing Has Provided New Study Findings on Machine Learning (Application of machine learning for predicting the service performance of metallic materials)

Robotics & Machine Learning Daily News2024,Issue(Oct.24) :21-22.

Research from University of Science and Technology Beijing Has Provided New Study Findings on Machine Learning (Application of machine learning for predicting the service performance of metallic materials)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news originating from Beijing , People’s Republic of China, by NewsRx correspondents, research stated, “In mat erials genetic engineering, data-driven machine learning (ML) technology is driv ing materials research into a new paradigm after theory, experiment, and computa tion, which is the fourth paradigm. Through ML, we can fully use the existing experimental data and exploit hidden connections underlying the data to achieve a more accurate prediction of material service performance despite not knowing the underlying principles.”

Key words

University of Science and Technology Bei jing/Beijing/People’s Republic of China/Asia/Cyborgs/Emerging 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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