Robotics & Machine Learning Daily News2024,Issue(Jun.13) :45-45.

New Machine Learning Study Findings Recently Were Reported by Researchers at Swiss Federal Institute of Technology Zurich (ETH Zurich) (Enhanced Sequence-activi ty Mapping and Evolution of Artificial Metalloenzymes By Active Learning)

瑞士苏黎世联邦理工学院(ETH Zurich)的研究人员最近报告了新的机器学习研究结果(通过主动学习增强序列-活性图谱和人工金属酶进化)

Robotics & Machine Learning Daily News2024,Issue(Jun.13) :45-45.

New Machine Learning Study Findings Recently Were Reported by Researchers at Swiss Federal Institute of Technology Zurich (ETH Zurich) (Enhanced Sequence-activi ty Mapping and Evolution of Artificial Metalloenzymes By Active Learning)

瑞士苏黎世联邦理工学院(ETH Zurich)的研究人员最近报告了新的机器学习研究结果(通过主动学习增强序列-活性图谱和人工金属酶进化)

扫码查看

摘要

由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-调查人员发布了关于马学习的新报告。据NewsRx记者从瑞士巴塞尔发回的新闻报道,研究表明:“量身定制的酶对于向可持续的生物经济过渡至关重要。然而,酶工程由于依赖于偶然的机会而非常费力,容易失败。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news originating from Basel, Switzerland, by NewsRx correspondents, research stated, “Tailored enzymes are crucial for the transiti on to a sustainable bioeconomy. However, enzyme engineering is laborious and fai lure-prone due to its reliance on serendipity.”

Key words

Basel/Switzerland/Europe/Cyborgs/Eme rging Technologies/Engineering/Machine Learning/Swiss Federal Institute of Te chnology Zurich (ETH Zurich)

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文