Robotics & Machine Learning Daily News2024,Issue(MAY.1) :79-80.

Findings from Columbia University Provides New Data about Machine Learning (Mach ine Learning-based Discovery of Molecular Descriptors That Control Polymer Gas P ermeation)

Robotics & Machine Learning Daily News2024,Issue(MAY.1) :79-80.

Findings from Columbia University Provides New Data about Machine Learning (Mach ine Learning-based Discovery of Molecular Descriptors That Control Polymer Gas P ermeation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news reporting originating in NewYork City, New York, by NewsRx jo urnalists, research stated, “While machine learning has found increasinguse in predicting the properties of polymeric materials with only a knowledge of chain architecture, determiningthe molecular factors underpinning properties (‘interp retable AI’) has remained less well explored.We show that encoding chain chemis try in commonly employed formats, e.g., binary -valued fingerprints,leads to un iqueness issues during the hashing process to save storage space.”

Key words

New York City/New York/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Col umbia University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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