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News, Analysis & Perspective on Autonomous Vehicles

SBNet: Leveraging activation block sparsity for speeding up convolutional neural networks

CNNs are widely used for analyzing visual imagery and data from LiDAR sensors. In autonomous driving, CNNs allow self-driving vehicles to see other cars and pedestrians, determine their exact locations, and solve many other difficult problems that could not previously be tackled with conventional algorithms. To ensure that our autonomous systems are reliable, such applications of CNNs must run at extremely fast speeds on GPUs.

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