Robotics & Machine Learning Daily News2024,Issue(Jun.27) :34-35.

Reports from Austrian Institute of Technology Describe Recent Advances in Machin e Learning (In situ conductometry for studying the homogenization of Al-Mg-Si al loys and predicting extrudate grain structure through machine learning)

奥地利理工学院的报告描述了机械学习的最新进展(用于研究Al-Mg-Si铝合金均匀化和通过机器学习预测挤出物晶粒结构的原位电导测量)

Robotics & Machine Learning Daily News2024,Issue(Jun.27) :34-35.

Reports from Austrian Institute of Technology Describe Recent Advances in Machin e Learning (In situ conductometry for studying the homogenization of Al-Mg-Si al loys and predicting extrudate grain structure through machine learning)

奥地利理工学院的报告描述了机械学习的最新进展(用于研究Al-Mg-Si铝合金均匀化和通过机器学习预测挤出物晶粒结构的原位电导测量)

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于人工智能的新报告。根据NewsRx编辑从奥地利Ranshofen传来的消息,该研究指出,“在工业实践中,通常没有能够在铝合金的热机械加工过程中就地获得显微组织信息的传感器。”这项研究的财政支持者包括Osterreichische Forschungsforderu Ngsgesellschaft;Interreg。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news originating from Ranshofen, Austria, by NewsRx editors, the research stated, “In industrial practice, no sensors capabl e of obtaining microstructural information in situ during thermo-mechanical proc essing of Al alloys are commonly employed.” Financial supporters for this research include Osterreichische Forschungsforderu ngsgesellschaft; Interreg.

Key words

Austrian Institute of Technology/Ransho fen/Austria/Europe/Alloys/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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