Stochastic computing requires random number generators to generate stochastic
sequences that represent probability values. In the case of an 8-bit operation, a 256-bit …

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 …

Stochastic computing (SC) is an error-tolerant computing technique where computation
takes place on randomized statistical bit streams. The main feature is that standard digital …

Stochastic Computing (SC) is an alternative way of computing with binary weighted words
that can significantly reduce hardware resources. This technique relies on transforming …

A stochastic number generator (SNG) is used to convert binary radix encoded numbers to bit-
streams in stochastic computing. An SNG consists of two components: a random number …

High-cost stochastic number generators (SNGs) are the main source of stochastic numbers
(SNs) in stochastic computing. Interacting SNs must usually be uncorrelated for satisfactory …

Stochastic computing (SC) is a promising computing paradigm for circuit design in the post-
Moore era. It encodes data through stochastic bit streams (SBSs) and employs a randomizer …

Stochastic computing (SC) is an unconventional computing style that uses probabilistic
bitstreams to implement algorithms like those for machine learning, digital filtering, and …

The number of hardware devices used in our everyday lives has been growing rapidly. For
example, most people in the whole world owns a smartphone, very large amount of money …