首页|Studies from University of Utrecht Further Understanding of Machine Learning (Ge nerating Higher Order Modes From Binary Black Hole Mergers With Machine Learning )
Studies from University of Utrecht Further Understanding of Machine Learning (Ge nerating Higher Order Modes From Binary Black Hole Mergers With Machine Learning )
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news originating from Utrecht, Nethe rlands, by NewsRx correspondents, research stated, “We introduce a machine learn ing model designed to rapidly and accurately predict the time domain gravitation al wave emission of nonprecessing binary black hole coalescences, incorporating the effects of higher order modes of the multipole expansion of the waveform. Ex panding on our prior work [Phys. Rev.” Funders for this research include Netherlands Organization for Scientific Resear ch (NWO), National Science Foundation (NSF), Centre National de la Recherche Sci entifique (CNRS), Italian Istituto Nazionale della Fisica Nucleare (INFN), Nikhe f Theory Group, Polish and Hungarian institutes.
UtrechtNetherlandsEuropeCyborgsE merging TechnologiesMachine LearningUniversity of Utrecht
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