Tags: weather forecasting

Swiss startup Jua has introduced an AI‑driven weather model called EPT‑2 that it says surpasses leading systems from Microsoft and Google. In a new report, the company compares EPT‑2 head‑to‑head with Microsoft’s Aurora, ECMWF’s ENS and IFS HRES models, finding it more accurate on variables such as wind speed and temperature, 25% faster, and using 75% less computing power than Aurora. Jua emphasizes that its approach builds a native physics simulation rather than retrofitting AI onto legacy infrastructure, positioning it as a potentially world‑leading forecaster. Ler mais

Google unveiled WeatherNext 2, an AI-driven weather forecasting system that will be integrated across its consumer and enterprise products, including Search, Maps, Gemini, Pixel phones, Earth Engine, and BigQuery. The new model generates forecasts up to eight times faster than its predecessor and delivers higher accuracy for variables such as temperature and wind. Leveraging a Functional Generative Network, WeatherNext 2 can produce hundreds of possible outcomes in under a minute, enabling hourly predictions up to 15 days ahead. Google is offering early access to customers seeking custom modeling, positioning the technology for use in energy, agriculture, transportation, and other sectors. Ler mais