Robotics & Machine Learning Daily News2024,Issue(Jan.12) :28-29.

Findings from Los Alamos National Laboratory Update Knowledge of Machine Learning (Machine Learning Technique for Isotopic Determination of Radioisotopes Using Hpge G-ray Spectra)

Robotics & Machine Learning Daily News2024,Issue(Jan.12) :28-29.

Findings from Los Alamos National Laboratory Update Knowledge of Machine Learning (Machine Learning Technique for Isotopic Determination of Radioisotopes Using Hpge G-ray Spectra)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learning have been published. According to newsoriginating from Los Alamos, New Mexico, by NewsRx correspondents, research stated, “Gamma-rayspectroscopy is a quantitative, non-destructive technique that may be utilized for the identification andquantitative isotopic estimation of radionuclides. Traditional methods of isotopic determination havevarious challenges that contribute to statistical and systematic uncertainties in the estimated isotopics.”Financial supporters for this research include National Nuclear Security Administration, Los AlamosNational Laboratory.

Key words

Los Alamos/New Mexico/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Los Alamos National Laboratory

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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