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Atmospheric Machine Learning Emulation Challenge (AMLEC)

Atmospheric Machine Learning Emulation Challenge (AMLEC)

The Atmospheric Machine Learning Emulation Challenge (AMLEC) invites researchers, data scientists, and practitioners in the fields of remote sensing, climate science, and artificial intelligence to contribute solutions to a key computational challenge in atmospheric modelling. Organised by Jorge Vicent Servera, Gustau Camps Valls, Cesar Aybar, and Julio Contreras from the Image and Signal Processing Group (ISP) at the University of Valencia, AMLEC focuses on advancing surrogate modelling and physics-informed AI in the context of Radiative Transfer Models (RTMs).

ELIAS Nodes: Call for Proposal

ELIAS Nodes: Call for Proposal

The European Lighthouse of AI for Sustainability (ELIAS) calls for a 1st round of proposals for the creation of ELIAS nodes fostering European Leadership in Innovation with AI and Science with close ties to ELLIS, the European Laboratory for Learning and Intelligent Systems.