A new artificial intelligence weather forecasting model developed by Google DeepMind has demonstrated superior performance compared to conventional physics-based systems in global medium-range weather predictions. The model, named GraphCast, uses machine learning to analyze decades of historical weather data and current atmospheric conditions to generate forecasts up to 10 days in advance. In head-to-head comparisons with the European Centre for Medium-Range Weather Forecasts’ high-resolution system (HRES), GraphCast provided more accurate predictions for over 90% of 1,380 test variables, including critical measurements like temperature, pressure, wind speed, and humidity. The AI system can generate a 10-day forecast in under one minute on a single Google TPU v4 machine, significantly faster than traditional methods that require hours on supercomputers. Researchers emphasize that AI models like GraphCast should complement rather than replace existing systems, offering a powerful new tool for meteorologists. For the full details, read the complete article at https://technologyreview.com/2024/06/12/ai-weather-model-outperforms-traditional-forecasts.