首页|Research Data from Chinese University of Hong Kong Shenzhen Update Understanding of Machine Learning (Machine Learning Study To Identify Collective Flow In Smal l and Large Colliding Systems)
Research Data from Chinese University of Hong Kong Shenzhen Update Understanding of Machine Learning (Machine Learning Study To Identify Collective Flow In Smal l and Large Colliding Systems)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Guangdong, People’s Repu blic of China, by NewsRx journalists, research stated, “Collective flow has been found to be similar between small colliding systems (p + p and p + A collisions ) and large colliding systems (peripheral A + A collisions) at the CERN Large Ha dron Collider. In order to study the differences of collective flow between smal l and large colliding systems, we employ a point-cloud network to identify p + P b collisions and peripheral Pb + Pb collisions at root sNN = 5.02 TeV generated from a multiphase transport model.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Key Research & Development Program of China, Chinese Academy of Sciences, Guangdong Major Project of Basic and Applie d Basic Research, CUHK-Shenzhen university development fund, Federal Ministry of Education & Research (BMBF).
GuangdongPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningChinese University of Hon g Kong Shenzhen
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