A forecasting framework that measures how voters evaluate candidates’ future leadership abilities and policy expertise accurately anticipated the closely contested outcome of the 2024 United States ...

Strong convective precipitation is the main cause of disasters such as floods and mudslides, resulting in huge economic losses and casualties. Moreover, strong convective precipitation is difficult to ...

Artificial intelligence-based models for global weather forecasting have advanced rapidly, but research on high-resolution data-driven limited area models remains scarce. Here we introduce a limited ...

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...

What if you could predict the future—not just in abstract terms, but with actionable precision? From forecasting energy demand to anticipating retail trends, the ability to make accurate predictions ...

The European Center for Medium-Range Weather Forecasts has debuted its own forecast AI model on the heels of a cutting-edge Google model released in December. Reading time 3 minutes The European ...

Google DeepMind and Google Research today announced WeatherNext 2 as its “most advanced and efficient forecasting model.” Notably, it’s helping power forecasts in Google’s consumer apps, including ...

Destructive hurricanes. Huge ocean waves. Sandstorms and severe smog. Extreme weather events are becoming increasingly common, piling pressure on communities to prepare for a range of disasters with ...