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Superfast Microsoft AI is first to predict air pollution for the whole world
The model, called Aurora, also forecasts global weather for ten days — all in less than a minute.
The model, called Aurora, is one of a slew of AI weather-forecasting tools being developed by tech giants, including GraphCast from Google DeepMind in London and FourCastNet from Nvidia, based in Santa Clara, California. “This, for me, is the first big step in a journey of atmospheric chemistry and machine learning,” says machine-learning researcher Matthew Chantry at the European Centre for Medium-Range Weather Forecasts (ECMWF) in Reading, UK. It can do it “at orders of magnitude smaller computational cost” than a conventional model used by the Copernicus Atmosphere Monitoring Service at the ECMWF, which predicts global air-pollution levels, the team wrote in a preprint 1 published on arXiv on 20 May.
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