首页|Data on Machine Learning Discussed by Researchers at Russian Quantum Center (Ins piration From Machine Learning On the Example of Optimization of the Bose-einste in Condensate of Thulium Atoms In a 1064-nm Trap)
Data on Machine Learning Discussed by Researchers at Russian Quantum Center (Ins piration From Machine Learning On the Example of Optimization of the Bose-einste in Condensate of Thulium Atoms In a 1064-nm Trap)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Machine Learning are presented in a new report. According to news reporting originating from Skolkovo, Russia, by N ewsRx correspondents, research stated, “The number of atoms in Bose-Einstein con densate determines the scale of experiments that can be performed, making it cru cial for quantum simulations. Optimization of the number of atoms in the condens ate is a complex problem which could be efficiently solved using the machine lea rning technique.”
SkolkovoRussiaBose-einsteinCyborgsEmerging TechnologiesLanthanoid Series ElementsMachine LearningPhysicsThuliumRussian Quantum Center
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