Summer school lectures on AI research for climate change and environmental sustainability. Primary machine learning topics covered: self-supervised learning, generative deep learning, learning from multi-source data. Primary applications covered: data downscaling, cross-sensor harmonization.
https://doi.org/10.24350/CIRM.V.20515103
Recording during the thematic meeting : «Modeling and AI for Environmental Transition» the July 16, 2026 at the Centre International de Rencontres Mathématiques (Marseille, France)
Filmmaker : Luca Récanzone
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