摘要
一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-在一份新的报告中讨论了机器学习的研究结果。根据NewsRx记者从荷兰乌得勒支发回的消息，研究表明：“我们引入了一种机器学习模型，该模型旨在快速准确地预测非进动双星黑洞凝聚的时域引力AL波发射，其中包含了波形多极扩展的高阶模式的影响。对我们先前的工作进行了扩展[Phys.Rev.”这项研究的资助者包括荷兰科学研究组织(NWO)、国家科学基金会(NSF)、国家科学研究中心(CNRS)、意大利国家科学研究所(INFN)、Nikhe F理论集团、波兰和匈牙利研究所。
Abstract
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.
NETL
NSTL