Deep learning models can be designed to both predict rare, extreme events accurately and produce interpretable internal representations that align with real physical phenomena, enabling better understanding of how AI makes decisions about complex systems.
Researchers built an AI model to predict rare weather events called Sudden Stratospheric Warming by learning from a simplified atmospheric model.