The AI-Based Modeling for Energy-Efficient Buildings Challenge to build cutting-edge Machine Learning (ML) methods for modeling Heating, Ventilation and Air Conditioning (HVAC) systems of real buildings, and optimising their energy efficiency.
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AI for Trade Challenge
The AI for Trade Global Challenge invites data scientists, economists, and ML experts to develop models forecasting U.S. and China trade flows for October 2025, covering the top 200 exports and imports across the top 20 trading partners.
Atmospheric Machine Learning Emulation Challenge (AMLEC)
The Atmospheric Machine Learning Emulation Challenge (AMLEC) invites researchers and AI practitioners to tackle computational challenges in atmospheric modelling, focusing on surrogate modelling and physics-informed AI for Radiative Transfer Models (RTMs).