Robotics & Machine Learning Daily News2024,Issue(Apr.11) :65-65.

Harvard University Reports Findings in Machine Learning (A Machine Learning Pers pective On the Inverse Indentation Problem: Uniqueness, Surrogate Modeling, and Learning Elasto-plastic Properties From Pile-up)

Robotics & Machine Learning Daily News2024,Issue(Apr.11) :65-65.

Harvard University Reports Findings in Machine Learning (A Machine Learning Pers pective On the Inverse Indentation Problem: Uniqueness, Surrogate Modeling, and Learning Elasto-plastic Properties From Pile-up)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learn ing. According to news originating from Cambridge,Massachusetts, by NewsRx corr espondents, research stated, “The inverse analysis of indentationcurves, aimed at extracting the stress-strain curve of a material, has been under intense deve lopmentfor decades, with progress relying mainly on the use of analytical expre ssions derived from small datasets. Here, we take a fresh, data-driven perspect ive to this classic problem, leveraging machine learningtechniques to advance i ndentation technology.”

Key words

Cambridge/Massachusetts/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Ha rvard University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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