Enabling autonomous driving will demand embedded processors that can process multiple HD video streams and analyse them using convolutional neural networks.
In both data centers and automobiles deep learning is taking hold. But it is a technique that challenges conventional microprocessors, leading system designers to look at alternative architectures for acceleration.
Dedicated processors using convolutional neural networking techniques bring advanced vision techniques such as object recognition to embedded systems.
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