Robotics & Machine Learning Daily News2024,Issue(Nov.29) :201-202.

South China University of Technology Researchers Report on Findings in Machine L earning (Development of a universal multimodal prediction method to optimise pro cess parameters for improving densification during laser powder bed fusion)

华南理工大学研究人员报告机器学习的发现(开发一种通用的多模态预测方法来优化激光粉末床熔合过程参数以改善致密化)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :201-202.

South China University of Technology Researchers Report on Findings in Machine L earning (Development of a universal multimodal prediction method to optimise pro cess parameters for improving densification during laser powder bed fusion)

华南理工大学研究人员报告机器学习的发现(开发一种通用的多模态预测方法来优化激光粉末床熔合过程参数以改善致密化)

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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-关于人工智能的新研究成果已经发表。据新闻报道NewsRx记者从中华人民共和国广州报道,Research称:“这是一个很好的例子。”沃克开发了一种通用的机器学习方法,增强了金属材料的致密化通过使用多模态数据优化工艺参数,通过激光粉末床聚变(LPBF)制造。本研究的资金支持单位包括国家自然科学基金、国家基础科学基金、国家自然科学基金中央大学科研经费;Cast青年精英科学家资助计划;广州后青年人才支持项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting from Guangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Thiswork develops a universal machine learning method that enhances the densification of metallic materialsfabricated by laser powder bed fusion (LPBF) by optimising process par ameters using multimodal data.”Financial supporters for this research include National Natural Science Foundati on of China; FundamentalResearch Funds For The Central Universities; Young Elit e Scientists Sponsorship Program By Cast;Young Talent Support Project of Guangz hou.

Key words

South China University of Technology/Gu angzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machi ne Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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