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Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA.

, , , and . DATE, page 1587-1590. IEEE, (2019)

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T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding., , , and . DAC, page 1-6. IEEE, (2020)Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA., , , and . DATE, page 1587-1590. IEEE, (2019)Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection., , , and . AAAI, page 11270-11277. AAAI Press, (2020)Quantized Memory-Augmented Neural Networks., , , , and . AAAI, page 3909-3916. AAAI Press, (2018)Spiking-YOLO: Spiking Neural Network for Real-time Object Detection., , , and . CoRR, (2019)Streaming MANN: A Streaming-Based Inference for Energy-Efficient Memory-Augmented Neural Networks., , , and . CoRR, (2018)Wearable and wireless measurement system for evaluating penile tumescence., , , , and . BioCAS, page 1-4. IEEE, (2015)CloudSocket: Smart grid platform for datacenters., , , , , , and . ICCD, page 436-439. IEEE Computer Society, (2016)Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks., , , and . DAC, page 53. ACM, (2019)Memory-Augmented Neural Networks on FPGA for Real-Time and Energy-Efficient Question Answering., , , , and . IEEE Trans. Very Large Scale Integr. Syst., 29 (1): 162-175 (2021)