Robotics & Machine Learning Daily News2024,Issue(Sep.24) :74-75.

Study Findings on Artificial Intelligence Are Outlined in Reports from Universit y of Illinois (Closed-loop Transfer Enables Artificial Intelligence To Yield Che mical Knowledge)

Robotics & Machine Learning Daily News2024,Issue(Sep.24) :74-75.

Study Findings on Artificial Intelligence Are Outlined in Reports from Universit y of Illinois (Closed-loop Transfer Enables Artificial Intelligence To Yield Che mical Knowledge)

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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 reporting originating in Urbana, Illinois, b y NewsRx journalists, research stated, “Artificial intelligence-guided closedlo op experimentation has emerged as a promising method for optimization of objecti ve functions1,2, but the substantial potential of this traditionally black-box a pproach to uncovering new chemical knowledge has remained largely untapped. Here we report the integration of closed-loop experiments with physicsbased feature selection and supervised learning, denoted as closed-loop transfer (CLT), to yi eld chemical insights in parallel with optimization of objective functions.”

Key words

Urbana/Illinois/United States/North a nd Central America/Artificial Intelligence/Emerging Technologies/Machine Lear ning/Supervised Learning/University of Illinois

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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