A new artificial intelligence weather forecasting model developed by researchers has demonstrated superior accuracy compared to conventional physics-based systems in global medium-range forecasts. The AI model, trained on decades of historical weather data, can generate 10-day forecasts in minutes on a single computer, while traditional supercomputer-based systems take hours. Initial evaluations show the AI system matches or exceeds the accuracy of the European Centre for Medium-Range Weather Forecasts’ system, considered the global gold standard, particularly in predicting extreme weather events like hurricanes and heatwaves. The technology represents a significant shift toward data-driven approaches in meteorology, though experts note that integrating AI predictions with established physics-based models will likely provide the most reliable forecasts. Read the full article at: https://technologyreview.com/ai-weather-model-outperforms-traditional-systems