A new artificial intelligence model developed by researchers has demonstrated superior accuracy in global weather forecasting compared to conventional physics-based systems. The AI system, trained on decades of historical weather data, can generate high-resolution forecasts for temperature, pressure, wind, and humidity in minutes, far faster than traditional supercomputer-powered models. In head-to-head tests over a 10-day forecast period, the AI model showed significantly lower error rates in predicting key atmospheric variables. While experts note that AI models may still struggle with predicting extreme, rare weather events, the technology represents a major shift toward faster, more efficient forecasting. The researchers emphasize that AI should complement, not replace, current methods, especially for long-term climate projections. Read the full article at https://technologyreview.com/ai-weather-model-forecast.