Recent advancements in artificial intelligence are transforming weather prediction, with new AI models demonstrating competitive accuracy against established numerical weather prediction systems. These machine learning models, trained on decades of historical weather data, can generate forecasts in seconds—a fraction of the time required by traditional physics-based supercomputer simulations. While current AI models excel at short- to medium-range forecasts, they still face challenges with long-term predictions and rare extreme weather events where historical data is sparse. Proponents argue AI will augment, not replace, conventional forecasting by providing rapid, low-cost scenario modeling. The integration of AI is expected to improve forecast accessibility and resource allocation for disaster preparedness globally. Read the full article at: https://technologyreview.com/2024/05/15/ai-weather-forecasting-models.