Researchers create AI tool capable of generating realistic satellite images of future floods

Summary

The article discusses a University of Granada-led project using Generative Adversarial Networks (GANs) to create realistic satellite images for simulating climate change impacts, showcasing collaboration between deep learning and physics-based models to enhance image reliability. This aligns with the key concept of GANs and tags such as deep learning and UGR.