Tobi Delbrück Talks Caltech, Cameras, and Neural Control
Brains and Machines
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Harnessing Sparsity in Neural Hardware for Enhanced Efficiency
This chapter explores the application of sparsity in event-based cameras and its impact on machine learning hardware. It emphasizes the efficiency improvements in neural accelerators that leverage sparsity, particularly in the context of speech recognition and energy consumption.
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