Silurian, a startup founded by former Microsoft researchers, has launched Generative Forecasting Transformer (GFT), a 1.5 billion parameter model designed to simulate Earth's weather up to 14 days in advance. This deep learning model, which learns purely from data without explicit physics, has demonstrated strong performance in predicting hurricane tracks, outperforming traditional forecasting methods. The company aims to expand its simulations to model other weather-impacted infrastructure like energy grids and agriculture. AI
IMPACT This new weather simulation model could significantly improve forecasting accuracy and lead to better infrastructure planning.
RANK_REASON Startup releases a new foundation model (GFT) with a system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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- Aurora
- ClimaX
- ECMWF
- Generative Forecasting Transformer
- GFT
- Google DeepMind
- Huawei
- Microsoft
- NeuralGCM
- NVIDIA
- Silurian
- WeatherBench
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