A new artificial intelligence weather forecasting model developed by researchers at a leading technology institute has demonstrated superior accuracy compared to conventional physics-based models in global medium-range weather predictions. The AI system, trained on decades of historical atmospheric data, can generate a 10-day forecast in under a minute on a single computer server, a task that typically requires hours of computation on supercomputers using traditional methods. Initial tests show the model provides more accurate predictions for key variables like atmospheric pressure and precipitation patterns across multiple regions. While promising, meteorologists note that further validation is needed for extreme weather events and long-term reliability before operational deployment. The development highlights the growing role of machine learning in transforming complex scientific modeling tasks. Read the full article at https://technologyreview.com/ai-weather-model-forecasts.