Robotics & Machine Learning Daily News2024,Issue(Dec.31) :71-72.

University of Utah Reports Findings in Machine Learning (Bayesian Analysis Revea ls the Key to Extracting Pair Potentials from Neutron Scattering Data)

Robotics & Machine Learning Daily News2024,Issue(Dec.31) :71-72.

University of Utah Reports Findings in Machine Learning (Bayesian Analysis Revea ls the Key to Extracting Pair Potentials from Neutron Scattering Data)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Salt Lake City, Utah, by NewsRx journalists, research stated, “Learning interaction potentialsfrom the structure factor is frequently seen as impractical due to accuracy constraints o f neutron and X-rayscattering experiments. This study reexamines this historic inverse problem using Bayesian inference andprobabilistic machine learning on a Mie fluid to elucidate how measurement noise impacts the accuracy ofrecovered potentials.”

Key words

Salt Lake City/Utah/United States/Nor th and Central America/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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