Unlocking Next-Level Weather Forecasting with Jua’s EPT-2
Swiss startup Jua has disrupted the weather forecasting landscape by introducing its cutting-edge AI model, EPT-2. This innovative tool is reportedly more accurate and faster than leading systems like Microsoft’s Aurora and Google DeepMind’s Graphcast, setting a new benchmark in precision forecasting.
Key Highlights:
- EPT-2 outperforms both Aurora and ECMWF’s ENS in multiple studies.
- It delivers forecasts 25% faster while consuming 75% less computing power than Aurora.
- Achieves superior accuracy in critical variables like wind speed and air temperature.
Marvin Gabler, Jua’s CEO, emphasizes that while traditional models rely on outdated systems, EPT-2 is built with a native physics simulation, pushing the boundaries of AI-driven meteorology.
As demand surges for accurate climate predictions, Jua stands out as a game-changer.
👉 Explore this breakthrough in the world of AI weather forecasting and share your thoughts below!
