A new artificial intelligence weather forecasting model developed by Google DeepMind has demonstrated superior accuracy and speed compared to current industry-standard systems. The model, named GraphCast, uses machine learning to analyze decades of historical weather data and make predictions up to 10 days in advance. In a comprehensive evaluation, GraphCast provided more accurate forecasts for over 90% of 1,380 test variables, including critical metrics like temperature, wind speed, and atmospheric pressure. The AI system generates a 10-day forecast in under a minute on a single Google TPU v4 machine, a task that can take hours for conventional numerical weather prediction models that solve complex physics equations on supercomputers. Researchers emphasize that AI models like GraphCast are designed to complement, not replace, traditional methods, offering a powerful new tool for meteorologists. The technology could improve severe weather warnings and long-term climate projections. For the full details, read the complete article at https://technologyreview.com/2023/11/14/1083789/ai-weather-forecasting-graphcast-deepmind/