Recently, automated co-design of machine learning (ML) models and accelerator
architectures has attracted significant attention from both the industry and academia …

This work aimed to enhance a previous neural network hardware implementation based on
an efficient combination of Stochastic Computing (SC) and Morphological Neural Networks …

In this work we propose a new methodology for neural network hardware implementation
based on an efficient combination of Stochastic Computing and Morphological Neural …

The bio-mimetic structure of a neuron is taken into account for utilizing the
electrophysiological data. These neuron circuits are entertained for the use in digital …

Over the past decade, artificial intelligence (AI) has gained significant interest in industry and
academia. Deep neural network (DNN) models have exploded in size over the years. Wider …