Methodology of the CondensNet model. CondensNet is a physically constrained DL parametrisation coupled with a climate dynamics engine to support hybrid modelling. The network architecture mainly has ...
Artificial intelligence (AI) is rapidly advancing frontiers in weather and climate forecasting, transforming how information is modeled, interpreted, and used to inform decision-making. These ...
In November, more than 50 student innovators at UC Santa Cruz spent two days developing artificial intelligence (AI) powered solutions for wildfire mitigation and climate resilience at a “Reboot the ...
An agreement on the third implementation phase of Destination Earth (DestinE), the European Commission's initiative to develop a highly accurate digital twin of Earth, has been signed between the ...
Researchers at UC Berkeley are working to harness AI for climate solutions as AI systems grow more powerful and energy-intensive. Across labs affiliated with Berkeley Artificial Intelligence Research ...
Researchers combined deep learning with high-resolution physics to create the first Milky Way model that tracks over 100 billion stars individually. Their AI learned how gas behaves after supernovae, ...
In almost every lab at the Institute, researchers are delving into AI. And the tools they’re developing and deploying have already turbocharged existing methods and opened new pathways to discovery.
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