Machine learning predicts global glacier erosion rates with new precision

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The new study provides the most comprehensive picture of the rate of ice erosion on the planet, Phys, reports. An international team led by a geographer at the University of Victoria, Canada, Sophie Norris, using machine learning algorithms, has been able to predict the rate of erosion of over 180,000 modern glaciers, which is about 85 per cent of the total. In a study published in Nature Geoscience, it is estimated that 99 per cent of glaciers …