Robotics & Machine Learning Daily News2024,Issue(Apr.10) :28-29.

International School for Advanced Studies (SISSA) Researchers Publish Findings i n Machine Learning (Large-scale graph-machinelearning surrogate models for 3D-f lowfield prediction in external aerodynamics)

Robotics & Machine Learning Daily News2024,Issue(Apr.10) :28-29.

International School for Advanced Studies (SISSA) Researchers Publish Findings i n Machine Learning (Large-scale graph-machinelearning surrogate models for 3D-f lowfield prediction in external aerodynamics)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingout of the International Sc hool for Advanced Studies (SISSA) by NewsRx editors, research stated, “The artic le presents the application of inductive graph machine learning surrogate models for accurate andefficient prediction of 3D flow for industrial geometries, exp licitly focusing here on external aerodynamicsfor a motorsport case.”

Key words

International School for Advanced Studie s (SISSA)/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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