Arithmetic plays a major role in a computer? s performance and efficiency. Building new
computing platforms supported by the traditional binary arithmetic and silicon-based …

Neurons are the primary building block of the nervous system. Exploring the mysteries of the
brain in science or building a novel brain-inspired hardware substrate in engineering are …

In stochastic computing (SC) systems numbers are represented with mean values of random
binary sequences. This paper introduces a novel fuzzy inference architecture, in which the …

Stochastic computing (SC) has become a promising approximate computing solution by its
negligible resource occupancy and ultralow energy consumption. As a potential …

A stochastic computing (SC) adder architecture, based on sigma-delta modulation is
introduced. The operation principle of the stochastic computing sigma-delta (SCSD) adder is …

The traditional neural network Intelligent chip has the problem of high power consumption
due to classical computing architecture, limiting the development of neural network …

Hardware reliability has emerged as a paramount consideration in the modern Artificial
Neural Network (ANN) design in recent years. The un-reliable ANN leads to un-trustable …

Recently, stochastic computing (SC) is increasingly popular in constructing MAC for on-edge
DNNs benefiting from its outstanding energy-efficiency, including its adequate precision and …

Max & min architectures for stochastic computing (SC) are introduced. Their key
characteristic is the utilization of an accumulator to store the signed difference between the …

Signal processing using delta-sigma modulated bit streams is reviewed, along with related
topics in stochastic computing (SC). The basic signal processing circuits, adders and …