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  • Presentation | SH52A: Development and Use Cases of Reusable Artificial Intelligence Infrastructure in Heliophysics II Oral
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  • SH52A-01: SuryaBench: New Benchmark Dataset for Advancing Machine Learning Applications in Heliophysics and Space Weather
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  • Location Icon288-290
    NOLA CC
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Author(s):
Dinesha Vasanta Hegde, University of Alabama in Huntsville (First Author, Presenting Author)
Sujit Roy, NASA Marshall Space Flight Center
Johannes Schmude, IBM Research
Amy Lin, University of Alabama in Huntsville
Vishal Gaur, University of Alabama in Huntsville
Rohit Lal, University of Alabama in Huntsville
Kshitiz Mandal, University of Alabama in Huntsville
Talwinder Singh, Georgia State University
Andrés Muñoz-Jaramillo, Southwest Research Institute Boulder
Kang Yang, Georgia State University
Chetraj Pandey, Georgia State University
Jinsu Hong, Georgia State University
Berkay Aydin, Georgia State University
Spiridon Kasapis, Princeton University
Vishal Upendran, SETI Institute Mountain View
Shah Bahauddin, Laboratory for Atmospheric and Space Physics
Daniel da Silva, NASA Goddard Space Flight Center
Ryan McGranaghan, NASA Jet Propulsion Laboratory
Marcus Freitag, IBM Research
Iksha Gurung, University of Alabama in Huntsville
Nikolai Pogorelov, University of Alabama in Huntsville
Campbell Watson, Organization Not Listed
Manil Maskey, NASA
Juan Bernabe-Moreno, IBM Research
Rahul Ramachandran, NASA Marshall Space Flight Center

Scientific Discipline
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Main Session
Discussion