Robotics & Machine Learning Daily News2024,Issue(Nov.27) :5-5.

Study Results from Swiss Federal Institute of Technology Zurich (ETH) Provide Ne w Insights into Machine Learning (Discussing the spectrum of physics-enhanced ma chine learning: a survey on structural mechanics applications)

Robotics & Machine Learning Daily News2024,Issue(Nov.27) :5-5.

Study Results from Swiss Federal Institute of Technology Zurich (ETH) Provide Ne w Insights into Machine Learning (Discussing the spectrum of physics-enhanced ma chine learning: a survey on structural mechanics applications)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news originatingfrom Zurich, Switzerland, b y NewsRx correspondents, research stated, “The intersection of physics andmachi ne learning has given rise to the physics-enhanced machine learning (PEML) parad igm, aiming toimprove the capabilities and reduce the individual shortcomings o f data- or physics-only methods.”

Key words

Swiss Federal Institute of Technology Zu rich (ETH)/Zurich/Switzerland/Europe/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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