Robotics & Machine Learning Daily News2024,Issue(Jul.25) :8-8.

New Findings from Pennsylvania State University (Penn State) Describe Advances i n Machine Learning (When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling)

Robotics & Machine Learning Daily News2024,Issue(Jul.25) :8-8.

New Findings from Pennsylvania State University (Penn State) Describe Advances i n Machine Learning (When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingfrom University Park, Penns ylvania, by NewsRx journalists, research stated, “Recent advances in differentiable modeling, a genre of physics-informed machine learning that trains neural ne tworks (NNs) together withprocess-based equations, have shown promise in enhanc ing hydrological models’ accuracy, interpretability,and knowledge-discovery pot ential.”

Key words

Pennsylvania State University (Penn Stat e)/University Park/Pennsylvania/United States/North and Central America/Cyb orgs/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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