首页|New Machine Learning Study Findings Recently Were Published by Researchers at Ch ina University of Geosciences Beijing [Characterizing Malyshe va Emeralds (Urals, Russia) by Microscopy, Spectroscopy, Trace Element Chemistry , and Machine Learning]
New Machine Learning Study Findings Recently Were Published by Researchers at Ch ina University of Geosciences Beijing [Characterizing Malyshe va Emeralds (Urals, Russia) by Microscopy, Spectroscopy, Trace Element Chemistry , and Machine Learning]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news originating from Beijing , People’s Republic of China, by NewsRx correspondents, research stated, “The Ma lysheva emerald mine (Urals, Russia) boasts a long history and extraordinary eme rald output. However, recent studies indicate that Malysheva emeralds share high ly similar inclusion varieties, UV-visible-near infrared (UV-Vis-NIR) spectra, a nd compositional characteristics with other tectonicmagmatic- related (type I) e meralds from Zambia, Brazil, and Ethiopia.” Funders for this research include Beijing College Students Innovation And Entrep reneurship Plan.
China University of Geosciences BeijingBeijingPeople’s Republic of ChinaAsiaChemistryCyborgsEmerging Technol ogiesMachine Learning
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