Competitions & Challenges

AI & Science Challenges: Pushing the Boundaries of Innovation
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Welcome to our competition hub! Here, we bring together researchers, data scientists, and industry experts to tackle some of the most pressing challenges in AI, climate science, materials discovery, and optimisation. Explore our ongoing and upcoming competitions below and join us in advancing cutting-edge solutions.

 

Announcements

Competition & Challenge Announcements

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).

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