Investigators at University of Washington Describe Findings in Machine Learning (An Accelerated Process Optimization Method To Minimize Deformations In Composites Using Theory-guided Probabilistic Machine Learning)

Robotics & Machine Learning Daily News2024，Issue(Jan.2) ：4-5.

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Investigators at University of Washington Describe Findings in Machine Learning (An Accelerated Process Optimization Method To Minimize Deformations In Composites Using Theory-guided Probabilistic Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning is now available. According to news originating fromSeattle, Washington, by NewsRx correspondents, research stated, “While aerospace manufacturing andassembly technologies have significantly evolved, challenges persist in mitigating process-induced deformations(PIDs) in composite parts. Physics-based-simulation optimization strategies have been developed toaddress these challenges.”

Key words

Seattle/Washington/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Technology/University of Washington

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出版年

2024

Robotics & Machine Learning Daily News

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