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"We’re also seeing significant gains from something called “multitask deep learning,” in which a system trained simultaneously to detect lane markings, cars, and pedestrians does better than three separate systems trained in isolation—since the single network can share information among the separate tasks.

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Deep learning can also alleviate one of the biggest issues identified by many who have ridden in a self-driving car—a “jerky” feel to the driving style, which sometimes leads to motion sickness. But a car trained using examples of humans driving can offer a ride that feels more natural."