Using machine learning, we reduced Stanley's error rate from about 12 percent in the beginning to about 1 in 50,000 by race time. We gave Stanley a framework to approach the problems he had to tackle.

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The real challenge was to get the intelligence right, and the intelligence was in the software.

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The project is just beginning. We feel that, ultimately, you'll be able to go to the dealer and buy a car that drives itself.

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