Robotics & Machine Learning Daily News2024,Issue(Dec.3) :199-199.

Northwestern University Reports Findings in Machine Learning (Microcrystal Growt h Pathways Investigated with Machine Learning Segmentation and Classification in Scanning Electron Microscopy)

西北大学报告了机器学习的发现(用扫描电子显微镜中的机器学习分割和分类研究微晶生长的途径)

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :199-199.

Northwestern University Reports Findings in Machine Learning (Microcrystal Growt h Pathways Investigated with Machine Learning Segmentation and Classification in Scanning Electron Microscopy)

西北大学报告了机器学习的发现(用扫描电子显微镜中的机器学习分割和分类研究微晶生长的途径)

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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-机器学习的新研究是一篇报道的主题。据新闻报道由NewsRx通讯员从伊利诺伊州的埃文斯顿发起,研究称,“电子的进展”显微术在纳米和微米尺度上对材料进行了演化表征,提供了重要的对当地订单、结构、规模和质量的见解。而形状和大小可以通过显微镜严格量化,它往往局限于局部结构分析,无法描述批量样本质量"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Evanston, Illinois, by NewsRx correspondents, research stated, “Advances in electronmicroscopy have r evolutionized material characterization on the nano- and microscales, providing importantinsights into local ordering, structure, and size and quality distribu tions. While shape and size can berigorously quantified through microscopy, it is often limited to local structure analysis and fails to describebulk sample q uality.”

Key words

Evanston/Illinois/United States/North and Central America/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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