Robotics & Machine Learning Daily News2024,Issue(Nov.12) :45-46.

Data from University of Science and Technology Beijing Broaden Understanding of Machine Learning (Machine-Learning-Driven Design of High-Elastocaloric NiTi-Base d Shape Memory Alloys)

北京科技大学数据拓宽了对机器学习的理解(高弹热镍基d形状记忆合金的机器学习驱动设计)

Robotics & Machine Learning Daily News2024,Issue(Nov.12) :45-46.

Data from University of Science and Technology Beijing Broaden Understanding of Machine Learning (Machine-Learning-Driven Design of High-Elastocaloric NiTi-Base d Shape Memory Alloys)

北京科技大学数据拓宽了对机器学习的理解(高弹热镍基d形状记忆合金的机器学习驱动设计)

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-一篇新的报道讨论了关于人工智能的研究结果。根据对于NewsRx编辑发布的来自中华人民共和国北京的新闻,该研究称:“近年来,传统的气液制冷剂对环境的有害影响已引起人们的广泛关注转向可持续的固态制冷技术"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on artificial intell igence are discussed in a new report. Accordingto news originating from Beijing , People’s Republic of China, by NewsRx editors, the research stated, “Inrecent years, the detrimental impact of traditional gas-liquid refrigerants on the env ironment has prompteda shift towards sustainable solid-state refrigeration tech nology.”

Key words

University of Science and Technology Bei jing/Beijing/People’s Republic of China/Asia/Alloys/Cyborgs/Emerging Techn ologies/Machine Learning

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