Robotics & Machine Learning Daily News2024,Issue(Oct.24) :81-82.

Investigators at National Polytechnic Institute Detail Findings in Machine Learning (Physics-inspired Evolutionary Machine Learning Method: From the Schrodinger Equation To an Orbital-free-dft Kinetic Energy Functional)

Robotics & Machine Learning Daily News2024,Issue(Oct.24) :81-82.

Investigators at National Polytechnic Institute Detail Findings in Machine Learning (Physics-inspired Evolutionary Machine Learning Method: From the Schrodinger Equation To an Orbital-free-dft Kinetic Energy Functional)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting from Queretaro, Mexico, by NewsRx journalists, research stated, “We introduce a machine learning (ML)- supervised model function (which is in fact a functional rather than a regular function) that is inspired by the variational principle of physics. This ML hypothesis evolutionary method, termed ML-Omega, allows us to go from data to differential equation(s) underlying the physical (chemical, engineering, etc.) phenomena from which the data are derived from.”

Key words

Queretaro/Mexico/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/National Polytechnic Institute

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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