J2*.3
Integrating Modern AI into Radio Astronomy Software: A Critical Analysis of Costs and Feasibility
Brian Welman, Marcellin Atemkeng, Oleg Smirnov, Rhodes University, South Africa
Session:
J2*: AI/ML in Radio Astronomy Lecture
Track:
Special Sessions
Location:
Meadows B
Presentation Time:
Thu, 8 Jan, 09:00 - 09:20 MT (UTC -7)
Session Chair:
Brian Mason, NRAO
Presentation
Discussion
Resources
No resources available.
Session J2*
J2*.1: Emulating Global 21 cm Cosmology Observations from the Lunar Far Side to Achieve Quick and Reliable Physical Constraints
John Dorigo Jones, Jack Burns, University of Colorado Boulder, United States; David Rapetti, NASA Ames Research Center, United States; David Barker, University of Colorado Boulder, United States
J2*.2: Adventures in AI with the Long Wavelength Array
Jayce Dowell, Greg Taylor, University of New Mexico, United States
J2*.3: Integrating Modern AI into Radio Astronomy Software: A Critical Analysis of Costs and Feasibility
Brian Welman, Marcellin Atemkeng, Oleg Smirnov, Rhodes University, South Africa
J2*.4: Bridging Explainable Deep learning and Large Language Models (LLMs) for Radio Galaxy Classifications: A Novel Investigation of Agentic LLMs for Interpreting Explainable AI
Casey Chuma, Brian Welman, Marcellin Atemkeng, Oleg Smirnov, Rhodes University, South Africa
J2*.5: Empowering the Next-Generation ALMA Imaging with AI
Fabrizia Guglielmetti, European Southern Observatory, Germany
J2*.6: Telescope Control with Machine Learning: Pointing Corrections and Observation Scheduling
Paul Chichura, NSF-Simons AI Institute for the Sky (SkAI), United States; Alex Drlica-Wagner, Thomas Crawford, Alexandra Rahlin, University of Chicago, United States
J2*.7: Forecasting the interferometric phase stability at the VLA with machine learning
Brian Svoboda, Bryan Butler, Daniel Faes, Paul Demorest, Kyle Massingill, National Radio Astronomy Observatory, United States
J2*.8: RFI Toolbox - Standardized Framework for Radio Frequency Interference Detection and Benchmarking
Preshanth Jagannathan Preshanth Jagannathan, Srikrishna Sekhar, NRAO, United States
J2*.9: Accelerating and Augmenting Radio Imaging Pipelines via Automated Segmentation and Labeling of Hyperspectral Image Cubes
Ryan Loomis, Brian Mason, Eric Murphy, Tristan Ashton, National Radio Astronomy Observatory, United States; Ziad Al-Halal, Jeff Phillips, El Kindi Rezig, Nikesh Subedi, University of Utah, United States; Ignacio Toledo, Joint ALMA Observatory, United States
J2*.10: Reinforcement Learning for Radio Interferometry Data Processing
Brian Kirk, New Mexico Institute of Mining and Technology / National Radio Astronomy Observatory, United States; Urvashi Rau, National Radio Astronomy Observatory, United States; Ramyaa Ramyaa, New Mexico Institute of Mining and Technology, United States
Contacts