Robotics & Machine Learning Daily News2024,Issue(Nov.14) :92-93.

National Tsing Hua University Researcher Highlights Research in Machine Learning (Combining polynomial regression with unsupervised machine learning on wafer-le vel packaging reliability prediction)

清华大学研究员重点研究机器学习(多项式回归与无监督机器学习相结合的圆片级包装可靠性预测)

Robotics & Machine Learning Daily News2024,Issue(Nov.14) :92-93.

National Tsing Hua University Researcher Highlights Research in Machine Learning (Combining polynomial regression with unsupervised machine learning on wafer-le vel packaging reliability prediction)

清华大学研究员重点研究机器学习(多项式回归与无监督机器学习相结合的圆片级包装可靠性预测)

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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关于人工智能的最新研究成果已经发表.根据新闻报道由NewsRx编辑在清华大学发表的研究报告称:“摘要:教育的益处”晶圆级封装包括更好的散热、更低的延迟和更少的空间消耗。这项研究的财政支持者包括Src;国立清华大学Y。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Current study results on artificial intelligence have been published. According to news reportingout of National Tsing Hua Unive rsity by NewsRx editors, research stated, “ABSTRACT: The benefits ofwafer-level packaging include better thermal dissipation, lower latency and reduced space c onsumption.”Financial supporters for this research include Src; National Tsing Hua Universit y.

Key words

National Tsing Hua University/Cyborgs/Emerging Technologies/Machine Learning/Mathematics/Polynomial

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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