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We are in the dawn of deep learning explosion for smartphones.
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Apple has launched a new free repair program for owners of its Watch products, acknowledging that a fault means that a crack can appear on the screen for affected models.
To bridge the gap between research and practice, we present the first empirical study on 16,500 the most popular Android apps, demystifying how smartphone apps exploit deep learning in the wild.
To this end, we build a new static tool that dissects apps and analyzes their deep learning functions.