Researchers have developed a new artificial intelligence model that demonstrates significant potential in forecasting extreme weather events with greater speed and accuracy than traditional physics-based systems. The model, named ClimaNet, was trained on decades of global atmospheric data and can predict phenomena like hurricanes and heatwaves days in advance. Early tests show it matches the accuracy of conventional models while using only a fraction of the computational resources, allowing for more frequent updates. Scientists caution that while the results are promising, the AI system should be viewed as a complementary tool to existing methods rather than a replacement, as its long-term reliability in diverse climate scenarios requires further validation. Read the full article at https://technologyreview.com/2024/05/15/climanet-ai-weather-forecasting.