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Monday, January 8, 2024 | 9:00 AM CT - 10:00 AM CT
Session ID
111
Session Title
The Impact of Artificial Intelligence on Astrophysics Research: Avenues and Potential Breakthroughs
Session Type
iPoster
Room
Hall B-1/B-2
Presentations
Pavo: Machine learning-aided discovery of a new low-mass, st...
Michael Jones, University of Arizona; David Sand, University of Arizona; Burcin Mutlu Pakdil, Dartmouth College; Richard...
Breakthrough Listen Search for Intelligent Life in the Galac...
Sid Solaiyappan, University of Michigan; Karen Perez, Columbia University; Vishal Gajjar, UC Berkeley.
Emulation by committee: faster AGN modelling
Benjamin Ricketts, SRON Netherlands Institute for Space Research; Daniela Huppenkothen, SRON Netherlands Institute for S...
DeepSZSim: Fast Simulations of the Thermal Sunyaev–Zel...
Eve Vavagiakis, Cornell University; Kush Banker, University of Chicago; Brian Zhang, University of Chicago; Elaine Ran, ...
Determining Physical Parameters of Serendipitous Sources usi...
Joshua Wing, Center for Astrophysics | Harvard & Smithsonian; Gerrit Schellenberger, Center for Astrophysics | Harvard &...
WITHDRAWN
Utilizing Artificial Intelligence Techniques for Information...
Kelly Lockhart, NASA Astrophysics Data System; Sergi Blanco-Cuaresma, NASA Astrophysics Data System; Alberto Accomazzi, ...
Data-Driven Discovery: Machine Learning for the Detection an...
Rafael Martinez Galarza, Smithsonian Astrophysical Observatory; Steven Dillmann, Imperial College London; Rosanne Di Ste...
Data-Driven Discovery: Machine Learning for the Detection an...
Steven Dillmann, University of Cambridge; AstroAI, Center for Astrophysics | Harvard & Smithsonian.