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Artículo
Approaching Retinal Ganglion Cell Modeling and FPGA Implementation for Robotics
(MDPI, 2018)
Taking inspiration from biology to solve engineering problems using the organizing principles of biological neural computation is the aim of the field of neuromorphic engineering. This field has demonstrated success in ...
Artículo
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
(IEEE Computer Society, 2019)
Convolutional neural networks (CNNs) have become the dominant neural network architecture for solving many stateof- the-art (SOA) visual processing tasks. Even though Graphical Processing Units (GPUs) are most often ...
Artículo
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference
(IEEE Xplore, 2020-12)
Low-latency, low-power portable recurrent neural network (RNN) accelerators offer powerful inference capabilities for real-time applications such as IoT, robotics, and human machine interaction. We propose a lightweight ...