Today's L4 autonomous vehicle deployments are limited by the tremendous cost and time of development of the safety critical AI software which is required to address the enormous tail end of corner case scenarios. We will cover an emerging AI technology called Deep Teaching, which reduces the cost and time of development of autonomous driving systems by allowing large scale training of neural networks without the bottleneck of human annotation and by tackling training in the small data regime. We'll conclude with demonstrations of the results of Deep Teaching, including state of the art performance on today's autonomous driving benchmarks.
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