首页|Findings from Los Alamos National Laboratory Update Knowledge of Machine Learning (Machine Learning Technique for Isotopic Determination of Radioisotopes Using Hpge G-ray Spectra)
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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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.
Los AlamosNew MexicoUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningLos Alamos National Laboratory
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