Drivers are the biggest source of uncertainty in the operation of cars. Computer vision is helping to eliminate human error and make the roads safer. But 14 years after autonomous vehicles successfully completed the DARPA Grand Challenge, the question remains: […]
10:45 AM
Usually, the top places in deep learning challenges are won by huge neural networks that require massive amounts of data and computation, making them impractical for use in real-time edge applications like security and autonomous driving. In this talk we […]
September 17, 2019
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Deep learning on embedded devices is currently enjoying significant success in a number of vision applications – particularly smartphones, where increasingly prevalent AI cameras are able to enhance every captured moment. However, the considerable number of deep learning network architectures […]
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