Robotics & Machine Learning Daily News2024,Issue(Jun.6) :69-69.

Recent Findings from National Yunlin University of Science and Technology Highli ght Research in Machine Learning (Investigating a Machine Learning Approach to P redicting White Pixel Defects in Wafers-A Case Study of Wafer Fabrication Plant F)

云林科技大学机器学习高级研究的最新成果(探索一种用机器学习方法预测晶圆白像素缺陷的方法-以F晶圆制造厂为例)

Robotics & Machine Learning Daily News2024,Issue(Jun.6) :69-69.

Recent Findings from National Yunlin University of Science and Technology Highli ght Research in Machine Learning (Investigating a Machine Learning Approach to P redicting White Pixel Defects in Wafers-A Case Study of Wafer Fabrication Plant F)

云林科技大学机器学习高级研究的最新成果(探索一种用机器学习方法预测晶圆白像素缺陷的方法-以F晶圆制造厂为例)

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摘要

由机器人与机器学习每日新闻的新闻记者兼新闻编辑-研究人员详细介绍了人工智能的新数据。根据NewsRx编辑来自国立云林科技大学的消息,这项研究指出,"CMOS图像传感器或(CIS)半导体产品是移动电话和照相设备不可或缺的,需要不断提高效率和质量,以获得优异的照相结果。"这项研究的资金支持者包括台湾国家科技委员会。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news originating from National Yunlin University of Science and Technology by NewsRx editors, the research stated, “CMOS image se nsor (CIS) semiconductor products are integral to mobile phones and photographic devices, necessitating ongoing enhancements in efficiency and quality for super ior photographic outcomes.” Financial supporters for this research include National Science And Technology C ouncil, Taiwan.

Key words

National Yunlin University of Science an d Technology/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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