Robotics & Machine Learning Daily News2024,Issue(Jun.11) :112-112.

Nanjing University Reports Findings in Machine Learning (Machine learning-enhanc ed molecular network reveals global exposure to hundreds of unknown PFAS)

南京大学发表机器学习研究报告(机器学习-enhanc ed molecular network揭示全球暴露于数百种未知PFA)

Robotics & Machine Learning Daily News2024,Issue(Jun.11) :112-112.

Nanjing University Reports Findings in Machine Learning (Machine learning-enhanc ed molecular network reveals global exposure to hundreds of unknown PFAS)

南京大学发表机器学习研究报告(机器学习-enhanc ed molecular network揭示全球暴露于数百种未知PFA)

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摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据NewsRx记者来自中华人民共和国南京的新闻报道,研究表明,“像全氟烷基和多氟烷基物质(PFASs)这样的化学物质是永远不可知的,很难识别。目前为代谢物和天然产物设计的平台无法捕捉到PFAS的不同结构特征。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Nanjing, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Unknown for ever chemicals like per- and polyfluoroalkyl substances (PFASs) are difficult to identify. Current platforms designed for metabolites and natural products canno t capture the diverse structural characteristics of PFAS.”

Key words

Nanjing/People’s Republic of China/Asia/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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