Aurora, the foundational AI model developed by Microsoft researchers for weather forecasting, is now able to predict air quality with high speed and accuracy. This information has been given by the company in a recent blog post.
Going beyond the weather, predicting air pollution
Aurora has already been known to predict weather events such as hurricanes, and cyclones, but now it has been fine-tuned to predict beyond traditional weather boundaries like air pollution. Microsoft said that this model first acquires general knowledge from large and diverse data sets, and then it is refined with small and specific data.
Open-source and integration into the MSN Weather app
Aurora's source code and model weights have now been made publicly available. A special version of it, which provides hourly forecasts (such as cloud cover), is now also integrated into the MSN Weather app.
How does Aurora work?
Aurora is trained on over 1 million hours of satellite, radar, and weather station data, as well as historical weather simulations and forecasts. Its encoder architecture transforms huge amounts of data from different sources into a standard format, allowing the AI to make accurate predictions.
You may also like
French Open: Musetti rides new-found grit into third round, Rune advances in five sets
Rajasthan records 15 fresh Covid cases
Savan Krupal Ruhani Mission Distributes Refreshments And Spiritual Literature In Mallawa
IPL 2025: Hardik Pandya And Shubman Gill Share Tense Moments During GT Vs MI Eliminator Clash; Video
Simone Inzaghi threatens to overshadow Champions League final with Inter Milan refusal