Collège De France (général)

Grand événement - À la recherche d'un Avenir Commun DurableL'IA et les mathématiques pour la météorologie et la climatologieAI and math for meteorology and climatologyCollège de FranceAnnée 2024-20255 mai 2025Grand événement - AI and math for meteorology and climatology - Claire Monteleoni: Confronting climate change with generative and self-supervised machine learningClaire MonteleoniResearch Director, INRIA Paris & Professor, University of Colorado BoulderRésuméRésuméThe stunning recent advances in AI content generation rely on cutting-edge, generative deep learning algorithms and architectures trained on massive amounts of text, image, and video data. With different training data, these algorithms and architectures can also be used to confront climate change. As opposed to text and video, the relevant training data includes weather and climate data from observations, reanalyses, and even physical simulations. As in many massive data applications, creating "labeled data" for supervised machine learning