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Researchers successfully train a machine lear

• Researchers used an innovative machine learning approach to develop a tiny model capable of running on a satellite’s limited processing power; • The trained model successfully detected cloud cover in satellite images in around a tenth of a second; • The model could easily be adapted to enable automated decision making for a range of purposes, from disaster management to deforestation.

Frontiers | Modelling swell propagation across the Pacific

Frontiers | Modelling swell propagation across the Pacific
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