"Weather basically touches every aspect of our lives ... it's also one of the big scientific challenges, predicting the weather," says Ilan Price, a senior research scientist at DeepMind. "Google DeepMind has a mission to advance AI for the benefit of humanity. And I think this is one important way, one important contribution on that front."
GenCast is a machine learning weather prediction model trained on weather data from 1979 to 2018. The model learns to recognize patterns in the four decades of historical data and uses that to make predictions about what might happen in the future.
GenCast outperformed ENS 97.2 percent of the time, according to research published this week in the journal Nature. This suggests that AI models could significantly enhance weather forecasting accuracy.
When it comes to predicting the path of a tropical cyclone, for example, GenCast was able to give an additional 12 hours of advance warning on average.
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