首页|Studies from University of Chicago Provide New Data on Machine Learning (Gravity Spy: Lessons Learned and a Path Forward)
Studies from University of Chicago Provide New Data on Machine Learning (Gravity Spy: Lessons Learned and a Path Forward)
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2024 FEB 22 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting from Chicago, Illinois, by NewsRx journalists, research stated, "The Gravity Spy project aims to uncover the origins of glitches, transient bursts of noise that hamper analysis of gravitational-wave data. By using both the work of citizen-science volunteers and machine learning algorithms, the Gravity Spy project enables reliable classification of glitches." Financial supporters for this research include National Science Foundation (NSF), Google Incorporated, Alfred P. Sloan Foundation, National Science Foundation (NSF), NASA through the NASA Hubble Fel- lowship, Space Telescope Science Institute, National Aeronautics & Space Administration (NASA), CIERA Board of Visitors Research Professorship, Canadian Institute for Advanced Research (CIFAR), Daniel I. Linzer Distinguished University Professorship fund, Science and Technology Development Fund (STDF), National Science Foundation (NSF), LIGO Laboratory, NSF's LIGO Laboratory - National Science Founda- tion, Office of the Provost, Office for Research, Northwestern University Information Technology, National Science Foundation (NSF).
ChicagoIllinoisUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesGravitational WavesMachine LearningPhysicsUniversity of Chicago
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Springer Nature
