首页|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)

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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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.”

University of Science and Technology Bei jingBeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.24)
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