首页|Research Reports from McGill University Provide New Insights into Machine Learni ng (Explaining the GWSkyNet-Multi Machine Learning Classifier Predictions for Gr avitational-wave Events)
Research Reports from McGill University Provide New Insights into Machine Learni ng (Explaining the GWSkyNet-Multi Machine Learning Classifier Predictions for Gr avitational-wave Events)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in artificial intelli gence. According to news originating from Montreal, Canada, by NewsRx editors, t he research stated, “GWSkyNet-Multi is a machine learning model developed for th e classification of candidate gravitational-wave events detected by the LIGO and Virgo observatories. The model uses limited information released in the low-lat ency Open Public Alerts to produce prediction scores indicating whether an event is a merger of two black holes (BHs), a merger involving a neutron star (NS), o r a non-astrophysical glitch.”
McGill UniversityMontrealCanadaNor th and Central AmericaCyborgsEmerging TechnologiesGravitational WavesMac hine LearningPhysics
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