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

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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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.”

New York CityNew YorkUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningCol umbia University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.1)