Date & Time: October 27, 2023, at 10:00pm – 12:00pm EDT
Description: Digital Twins will engage big data from various sources. Artificial Intelligence and Machine Learning have been utilized to process the big data for actionable information. We invited two keynote speakers to addressed the GeoAI opportunities and challenges, HPC Image processing and digital twins, foundation models and AI at ESIP and relevant NOAA divisions will also discussed by two panelists.
Registration: https://gmu.zoom.us/j/93406750483?pwd=OU8vQ0g2Nlo2a0NYWk01L3lqNHhaUT09
Co-Chairs: Liang Zhao, Emory University
| Friday, October 27, 2023 | |||||
| Begin | End | Agenda | Content | ||
| 10:00 AM | 10:30 AM | Understanding Food Supply Network Resilience via Geospatial Knowledge Graph and AI, Song Gao, University of Wisconsin-Madison | Notes Recording Presentation | ||
| 10:30 AM | 11:00 AM | HPC Image Processing and Digital Twins at Oakridge National Lab, Dave Page, Oakridge National Lab | Notes Recording | ||
| 11:00 AM | 11:10 AM | Panelist: Foundational Models for Geospatial AI: Applicability, Uniqueness, and Autonomy, Gengchen Mai, University of Georgia | Notes Recording Presentation | ||
| 11:10 AM | 11:20 AM | Panelist: AI/ML at ESIP and Relevant NOAA Divisions, Douglas Rao, NC State Climate Institute | Notes Recording Presentation | ||
| 11:20 AM | 12:00 PM | Panel Discussion, Q&As | Notes Recording | ||