Robotics & Machine Learning Daily News2024,Issue(Sep.25) :52-52.

New Findings from Stanford University in the Area of Machine Learning Described (Machine Learning-based Extreme Event Attribution)

Robotics & Machine Learning Daily News2024,Issue(Sep.25) :52-52.

New Findings from Stanford University in the Area of Machine Learning Described (Machine Learning-based Extreme Event Attribution)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting originating from Stanford, California, b y NewsRx correspondents, research stated, “The observed increase in extreme weat her has prompted recent methodological advances in extreme event attribution. We propose a machine learning-based approach that uses convolutional neural networ ks to create dynamically consistent counterfactual versions of historical extrem e events under different levels of global mean temperature (GMT).”

Key words

Stanford/California/United States/Nor th and Central America/Cyborgs/Emerging Technologies/Machine Learning/Stanfo rd University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文