首页|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)

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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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.”

Swiss Federal Institute of Technology Zu rich (ETH)ZurichSwitzerlandEuropeCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.27)