Neuromorphic Processor Project (NPP)

NPP will develop theory, architectures, and FPGA implementations targeting specific applications of deep neural network technology in vision and audition. Deep learning has become the state-of-the-art machine learning approach for sensory processing applications, and this project aims towards real-time, low-power, brain-inspired solutions targeted at full-custom SoC integration. A particular aim of the NPP is to develop efficient data-driven deep neural network architectures that can enable always-on operation on battery-powered mobile devices in conjunction with event-driven sensors.

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