首页|Scientific Machine Learning (SciML) Surrogates for Industry, Part 1: The Guiding Questions
Scientific Machine Learning (SciML) Surrogates for Industry, Part 1: The Guiding Questions
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.
NETL
NSTL
