Day 1: Current AI Landscape
Morning session (8:30 AM - 12:30 PM):
- Welcome and Introductions, Moderator: Elizabeth Fancher
- Meeting Introduction and Logistics, Manil Maskey - NASA Marshall Space Flight Center
- MSFC Welcome and Overview 101, Larry Leopard - Associate Director, Technical, NASA MSFC
- Data and Open Science Strategy , Kevin Murphy - Chief Science Data Officer, NASA Agency AI Strategy, AI Tiger Team, NASA Chief Information Office
- Perspectives on AI and FMs from government agencies
- Artificial Intelligence (AI) Alliance, Saleem Hussain - IBM Research
- AI advancements in Geospatial Science and Human Security, Dalton Lunga - ORNL, Research Scientist
- Update on the Launch of the National AI Research Resource (NAIRR) Pilot, Katie Antypas (Virtual) - NSF, Office Director, Office of Advanced Cyberinfrastructure
- New Developments in AI Session Intro (Industry & Academia), Moderator: Mark Caroll
- GraphCast: Learning skillful medium-range global weather forecasting, Remi Lam (virtual) - Google, Staff Research Scientist
- Towards a Foundation Model for Fundamental Physics, Mariel Pettee (virtual) - Yale, Chamberlain Postdoctoral Fellow
- Leveraging Large Models to Understand the World Through Data, Georgia Gkioxari - Caltech, Assistant Professor
- A Path Towards Using Foundation models for Air Quality Forecasting, Jennifer Sleeman - JHU, Computer Scientist
- Generalist medical AI, Michael Moor - Stanford, Postdoctoral Scholar
- Panel discussion on AI ethics and governance in science, Moderators: Charley Haley, Manil Maskey
- Douglas Rao, NOAA, Research Scientist
- Barbara Thompson, NASA GSFC
Afternoon session (1:45 PM - 5:12 PM):
- Hands-on session: Applications of Large Language Models (LLMs), Leads: Muthukumaran Ramasubramanian, Bishwaranjan Bhattacharjee, Rahul Ramachandran, Kaylin Bugbee, Ashish Acharya, Nishan Pantha, Walter Alvarado, Iksha Gurung
- Prompt Patterns for Science - Everyone
- Application development and deployment - Developers
- Fine-tuning - ML Developers
Day 2: AI for Science: A deep dive into FMs for science and new areas to explore
Morning session (8:30 AM - 9:45 AM):
- Current State of AI, Moderator: Kenton Fisher
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Prithvi, Juan Bernabe Moreno, Raghu Ganti, IBM, Principal Research Scientist
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Weather & Climate, and Helio FM, Sujit Roy, NASA-IMPACT, Computer Scientist
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SatVision, Mark Carroll, NASA GSFC, Research Scientist/Data Science Group Lead and Jordan Caraballo-Vega, NASA GSFC, Computer Engineer
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Application of Foundation Models to Astronomy and Biology, Ashish Mahabal, Caltech, Deputy Director, Center for Data Driven Discovery
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Does where your pre-training data come from matter for geospatial foundation model performance?, Mirali Purohit,Arizona State University, Graduate Stduent
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Large Mars Model, Umaa Rebbapragada, JPL, Technical Group Supervisor & Data Scientist
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An AI manager’s journey into the era of Foundation Models, James Parr, Trillium Technologies Inc, CEO
Late Morning & Afternoon session (10:00 AM - 2:30 PM):
- Hands-on exercise in fine-tuning FMs, Lead: Iksha Gurung, Muthukumaran Ramasubramanian, and Rajat Shinde
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Fine-tune Prithvi 100M geospatial foundation model for multiple down-stream tasks
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Deploy fine-tuned models
Afternoon session (2:45 PM - 5:50 PM):
- Introduction to FM playbook - Rahul Ramachandran
- Discussions on new areas, opportunities, and practical aspects of FMs in science
- Identifying future science foundation models and fostering collaboration (Breakout Session), Moderators: Charley Haley and Kenton Fisher
- End of Day Wrapup - Manil Maskey
Day 3: Planning for the Future
Morning Session (8:30 AM - 12:05 PM):
- Thematic Break Out Report Out, Moderator: Charley Haley
- Recap of Workshop Objectives and Challenge Areas
- Mentimeter Survey, IMPACT
- Plan for Workshop Report
- Closing Remarks - Manil Maskey
Morning session (8:30 AM - 9:45 AM):
- Current State of AI, Moderator: Kenton Fisher
- Prithvi, Juan Bernabe Moreno, Raghu Ganti, IBM, Principal Research Scientist
- Weather & Climate, and Helio FM, Sujit Roy, NASA-IMPACT, Computer Scientist
- SatVision, Mark Carroll, NASA GSFC, Research Scientist/Data Science Group Lead and Jordan Caraballo-Vega, NASA GSFC, Computer Engineer
- Application of Foundation Models to Astronomy and Biology, Ashish Mahabal, Caltech, Deputy Director, Center for Data Driven Discovery
- Does where your pre-training data come from matter for geospatial foundation model performance?, Mirali Purohit,Arizona State University, Graduate Stduent
- Large Mars Model, Umaa Rebbapragada, JPL, Technical Group Supervisor & Data Scientist
- An AI manager’s journey into the era of Foundation Models, James Parr, Trillium Technologies Inc, CEO
Late Morning & Afternoon session (10:00 AM - 2:30 PM):
- Hands-on exercise in fine-tuning FMs, Lead: Iksha Gurung, Muthukumaran Ramasubramanian, and Rajat Shinde
- Fine-tune Prithvi 100M geospatial foundation model for multiple down-stream tasks
- Deploy fine-tuned models
Afternoon session (2:45 PM - 5:50 PM):
- Introduction to FM playbook - Rahul Ramachandran
- Discussions on new areas, opportunities, and practical aspects of FMs in science
- Identifying future science foundation models and fostering collaboration (Breakout Session), Moderators: Charley Haley and Kenton Fisher
- End of Day Wrapup - Manil Maskey
Day 3: Planning for the Future
Morning Session (8:30 AM - 12:05 PM):
- Thematic Break Out Report Out, Moderator: Charley Haley
- Recap of Workshop Objectives and Challenge Areas
- Mentimeter Survey, IMPACT
- Plan for Workshop Report
- Closing Remarks - Manil Maskey