Deep-learning networks have won. They have outscored humans in classifying still images—at least sort-of. They have defeated world champions at chess and go. They have become the tool of choice for big-data analysis challenges, from customer service to medical diagnosis. They have shown that, once trained, they can be compact enough to fit in a …

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