Synthea aims to create synthetic, realistic (but not real) patient data and health records for use in various non-clinical, secondary applications. We will perform an exploratory data analysis (EDA) ...

However, the area of the arithmetic circuit is large. In this paper, we propose an inference processor with a table look-up method. By storing the output of the DNN in a table in advance, an ...

On-device Deep Neural Network (DNN) inference consumes significant computing resources and development efforts. To alleviate that, we propose LUT-NN, the first system to empower inference by table ...