Robotics & Machine Learning Daily News2024,Issue(Apr.9) :185-185.

Scientific Machine Learning (SciML) Surrogates for Industry, Part 1: The Guiding Questions

Robotics & Machine Learning Daily News2024,Issue(Apr.9) :185-185.

Scientific Machine Learning (SciML) Surrogates for Industry, Part 1: The Guiding Questions

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from os f.io:“Surrogates are rapidly growing in importance as a technique from scientific mac hine learning foraccelerating modeling and simulation.“However, much of the current work on surrogate modeling has kept to the domain of academicliterature and many techniques have not broadly been adopted in stan dard industrial practices. Whatis required for surrogates to become commonplace or standard in industrial design and control? In thisposition paper we discuss the various challenges associated with translating surrogate techniques of scientific machine learning into a method for industrial usage.

Key words

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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