Surya Science:
A hands-on workshop
Full Workshop Recordings
Day 1: Foundations Day
Welcome to Surya Science: A Hands-on Workshop
Madhulika Guhathakurta and Rahul Ramachandran | NASA
Foundation models for science
Johannes Schmude | IBM
Surya 101
Sujit Roy | NASA-IMPACT
What can Surya do for heliophysics?
Andrés Muñoz-Jaramillo | Southwest Research Institute, Colorado, USA
Introduction to the SuryaBench dataset
Dinesha Vasanta Hegde | University of Alabama in Huntsville
Downstream science demos
HelioAI - what’s next?
Mike Heyns (Trillium Technologies) and Shing Fung (NASA)
Day 2: Big Ideas Day
Shareback Session: Baseline Learnings
Lecture and tutorials:
Finetuning architecture, WandB and Finetuning
Lecture: Finetuning
Panel Session: Industry perspectives
Dan Crichton (JPL) & Massy Mascaro (Google)
Day 3: Prototyping Day
Shareback Session: Finetuning Learnings
Lecture: Validation
Panel Session: Agency perspectives
Lika Guhathakurta (NASA), Rahul Ramachandran (NASA-IMPACT), Robert Redmon (Director of NOAA Center for AI), Therese Moretto Jorgensen (NASA)
Day 4: Demo Day
Lightning presentations
Panel Session: Science perspectives
Raul Ramos Pollan, David Fouhey (NYU), Tzu-Wei Fang (NOAA)
About Surya
Surya is a 360-million-parameter Heliophysics foundation model trained on more than 200 TB of solar data collected over nine years by the Solar Dynamics Observatory. Surya leverages advances in AI to analyze vast solar datasets, improving our understanding of solar eruptions and enabling more accurate space weather forecasts that protect satellites, power grids, and communication systems. Surya was developed by NASA in partnership with IBM and a team of researchers from multiple institutions.
In this workshop you will learn all about Surya and get the opportunity to develop downstream applications that use this powerful model.
Watch this video to learn more about Surya
Read more about Surya
Partners
