Researchers report that a newly developed artificial intelligence (AI) model can predict extreme storm surge flooding with high accuracy. Both sources say the approach targets coastal cities’ need to prepare for rising seas and more frequent or intense extreme events. The model is described as producing reliable predictions of storm surges, including in scenarios representing future climate conditions. In addition to accuracy, the sources emphasize speed: the AI runs significantly faster than traditional methods used for assessing flood risk. This faster runtime is presented as a practical advantage for researchers and practitioners, enabling more timely evaluation of coastal flooding hazards. Together, the articles link the work to improved coastal flood risk assessment and adaptation planning, suggesting that decision-makers can use the model’s rapid forecasts to support planning for sea-level rise and extreme weather impacts. The publications do not provide specific numerical performance metrics, the datasets used, or deployment details, but they consistently highlight the combination of high predictive accuracy and faster computation as the central contributions.