IGARSS (the International Geoscience and Remote Sensing Symposium) is the flagship conference of the Geoscience and Remote Sensing Society...
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> Call for Pre-Proposals - IGARSS 2029
The tutorial will begin by covering recent advancements in High-Performance Computing (HPC) and Cloud Computing, as well as the basics of Foundation Models (FMs).
This tutorial offers useful insights into the growing field of quantum computing and its impact on Earth Observation.
Lecture Material from “Scalable Machine Learning with High Performance and Cloud Computing” Lecture 1: Introduction Get lecture Lecture 2: Levels of Parallelism and High Performance Computing Get lecture Get notebook
This tutorial provides a complete overview of the latest developments of High Performance Computing (HPC) systems and Cloud Computing services.
IEEE GRSS Webinar March 23, 2021 Online Event Page This webinar will introduce the new working group “High-performance and Disruptive Computing in Remote Sensing” (HDCRS) of the GRSS Earth Science
Special Issue on ”Quantum Computing for Earth Observation” December 31, 2022 IEEE JSTARS JStars Page This special issue aims to introduce this extraordinary field to the GRSS community, present the
Tutorial: “From Big EO Data to Digital Twins: Hybrid AI and Quantum based Paradigms” July 2021 IGARSS (Brussels, Belgium) Tutorial Page The tutorial will cover an introduction in quantum information
1st International Workshop on Searching and Mining Large Collections of Geospatial Data (GeoSearch) November 2, 2021 Online Program Page This workshop brings together the art of search engine construction with
Tutorial on “Scalable Machine Learning with High Performance and Cloud Computing” July 2021 IGARSS (Brussels, Belgium) Tutorial Page The tutorial provides a complete overview of supercomputing and cloud computing technologies
Special session on ”Data Intensive Computing for Remote Sensing” July 2021 IGARSS (Brussels, Belgium) Event Page This special session collects papers in the most advanced and trendy areas interested in
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