publié le: 2021
This article presents an energy-efficient and flexible multichannel Electroencephalogram (EEG) artifact identification network and its hardware using...
Convolutional/Deep Neural Networks (CNNs/DNNs) are rapidly growing workloads for the emerging AIbased systems. The gap between the processing speed an...
Reinforcement learning, augmented by the representational power of deep neural networks, has shown promising results on high-dimensional problems, suc...
We present fast implementations of linear interpolation operators for piecewise linear functions and multidimensional look-up tables. These operators...
This article presents a low-power, programmable, domain-specific manycore accelerator, Binarized neural Network Manycore Accelerator (BiNMAC), which a...