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A leading deep learning model for tracing glacier calving fronts can be adapted to new locations with only three pieces of information: one hand-labeled image per glacier, un-labelled summer reference images, and a map of the underlying rock. This could aid scientists who are tracking glacier loss.


New approach lets top AI glacier tracking model easily adapt to new regions

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