EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
DeepMind Blog·Aug 6·5 min read
WeatherNext: AI model achieves breakthrough in forecasting cyclones
TL;DR
WeatherNext, an AI model developed by DeepMind, significantly enhances cyclone forecasting by generating 15-day predictions in under a minute, using a coarser resolution than traditional models. This breakthrough allows for better risk assessment and decision-making in meteorology.
✦ Why It Matters
Explore WeatherNext's open-source models to improve your own weather forecasting capabilities today.
Key Takeaways
- Utilize WeatherNext for advanced cyclone forecasting in your projects.
- Experiment with the open-source code to customize models for local needs.
- Leverage the rapid prediction capabilities for timely decision-making.
- Collaborate with the research community to improve forecasting accuracy.
How It Works
WeatherNext uses Functional Generative Networks to generate multiple predictions simultaneously, allowing it to capture the uncertainty in weather patterns. By operating at a coarser resolution of 28x28 km, it achieves high accuracy while significantly reducing computational demands.