Recent advancements in artificial intelligence are transforming weather prediction, with new AI models demonstrating the potential to outperform traditional physics-based forecasting systems. These machine learning models, developed by companies like Google DeepMind and Nvidia, can generate accurate forecasts in minutes rather than hours by analyzing decades of historical weather data. While traditional numerical weather prediction relies on complex equations simulating atmospheric physics, AI systems identify patterns directly from past observations. Early results show these models matching or exceeding the accuracy of established systems for global forecasts up to 10 days ahead, particularly in tracking severe weather events. However, meteorologists note limitations, including AI’s difficulty predicting extreme outliers and the need for continued validation against conventional methods. The technology could eventually make high-resolution forecasting more accessible worldwide. Read the full article: https://technologyreview.com/2024/05/15/ai-weather-forecasting-models