IEEE GRSS High Performance and Disruptive Computing in Remote Sensing School 2024 | Day 2
On June 05, 2024, the HDCRS School continued with a focus on Large-Scale AI for Geosciences, featuring a series of insightful lectures and hands-on training.
Dr. Manil Maskey from NASA kicked off the day discussing the collaboration between IBM and NASA on geospatial foundation models, emphasizing open science and the use of large language models (LLMs).
Carlos Gomes from IBM Research Zurich presented the capabilities and applications of the Prithvi-Geospatial and Prithvi-WxC models for geospatial data analysis.
Dr. Thomas Brunschwiler from IBM Research Zurich provided an overview of the development and timeline of foundation models in geosciences.
Rajat Shinde introduced the MLCommons Geo-Croissant initiative, highlighting its importance in geospatial data processing.
Prof. Gabriele Cavallaro from Jülich Supercomputing Centre (Forschungszentrum Jülich) discussed the role of large-scale AI and supercomputing in advancing Earth observation and remote sensing.
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