Sea ice at the North and South Poles is difficult to predict due to its complex relationship with the atmosphere
All these changes affect the climate, Arcticecosystems, and on the lives of indigenous and local communities whose livelihoods are tied to the seasonal cycle of sea ice. Experts believe improved forecasts will underpin new early warning systems that protect Arctic wildlife and coastal communities.
An international team of researchers underThe leadership of the British Antarctic Survey (BAS) and the Alan Turing Institute created the IceNet artificial intelligence system. It solves the problem of making accurate forecasts of sea ice in the Arctic for the coming season. According to the authors of the development, IceNet predicts the presence of sea ice two months in advance with an accuracy of almost 95%.
The authors developed IceNet based on the conceptdeep learning. Through this approach, AI "learns" how sea ice changes based on climate simulations over tens of thousands of years and over decades.
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