I love seeing these type of use cases for AI.
Imagine getting an extra day to prepare before a major cyclone hits.
Google DeepMind's WeatherNext model is delivering more accurate cyclone forecasts while being open sourced for researchers and forecasters to build on.
• More than 24 hours of added forecast lead time
• Three-day predictions matching older two-day forecasts
• Track, intensity, and wind structure in one model
• 1,000 possible storm scenarios per cyclone
• 15-day forecasts in under one minute on a TPU
• Training across nearly 5,000 historical storms
• Open-source weights and code for wider experimentation
• Potential uses in disaster response, renewable energy, and infrastructure planning
What would you guys build if you could connect this kind of forecasting AI to automated alerts, logistics, or local response workflows?