Robotics & Machine Learning Daily News2024,Issue(Sep.2) :41-42.

New Findings from Concordia University Describe Advances in Machine Learning (Su bspace Graph Networks for Real-time Granular Flow Simulation With Applications T o Machine-terrain Interactions)

Robotics & Machine Learning Daily News2024,Issue(Sep.2) :41-42.

New Findings from Concordia University Describe Advances in Machine Learning (Su bspace Graph Networks for Real-time Granular Flow Simulation With Applications T o Machine-terrain Interactions)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting fromMontreal, Canada, by NewsRx journali sts, research stated, “Granular flows interacting with rigid bodiesare key to m achine-terrain interactions in robotics and related fields, and still pose sever al open problems.Continuum methods and deep learning, separately and in combina tion, show promise.”

Key words

Montreal/Canada/North and Central Amer ica/Cyborgs/Emerging Technologies/Engineering/Machine Learning/Concordia Un iversity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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