Robotics & Machine Learning Daily News2024,Issue(Dec.2) :182-183.

New Findings on Machine Learning Described by Investigators at Beihang Universit y (Machine Learning Studies for Magnetic Compositionally Complex Alloys: a Criti cal Review)

北航大学研究人员描述的机器学习新发现(磁性成分复杂合金的机器学习研究:一个关键综述)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :182-183.

New Findings on Machine Learning Described by Investigators at Beihang Universit y (Machine Learning Studies for Magnetic Compositionally Complex Alloys: a Criti cal Review)

北航大学研究人员描述的机器学习新发现(磁性成分复杂合金的机器学习研究:一个关键综述)

扫码查看

摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-一项关于机器学习的新研究现在可用。根据新闻报道由NewsRx记者发起的一项研究称,“软磁”合金在功率转换、磁传感、磁存储和电子驱动中起着关键作用,是现代技术创新的基本组成部分。因此,合理设计软磁合金具有重要的科学和商业价值。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning is now available. According to news reportingoriginating in Beijing, People’s Republi c of China, by NewsRx journalists, research stated, “Soft magneticalloys play a critical role in power conversion, magnetic sensing, magnetic storage and elect ric actuating,which are fundamental components of modern technological innovati on. Therefore, the rational design ofsoft magnetic alloys holds substantial sci entific and commercial value.”

Key words

Beijing/People’s Republic of China/Asi a/Alloys/Cyborgs/Emerging Technologies/Machine Learning/Beihang 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