A stochastic computing sigma-delta adder architecture for efficient neural network design
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 …
introduced. The operation principle of the stochastic computing sigma-delta (SCSD) adder is …
Biased accumulation based on multiplexer using stochastic correlated logic
S Wang, F Deng, L Yao, G **e… - International Journal of …, 2025 - Wiley Online Library
Stochastic computing is a non‐traditional computing approach that utilizes stochastic
bitstreams to represent numerical values. This representation enables the implementation of …
bitstreams to represent numerical values. This representation enables the implementation of …
Stochastic Circuits for Computing Weighted Ratio with Applications to Multi-class Bayesian Inference Machine
Bayesian inference is one method of statistical inference in machine learning. It predicts the
probability that a given test belongs to a certain class and is widely used in various …
probability that a given test belongs to a certain class and is widely used in various …
[PDF][PDF] Stochastic Computing Architectures for Information Processing Systems
T Nikolaos - 2023 - dspace.lib.ntua.gr
Arithmetic operations on stochastic sequences is the basis of the unconventional
computational approach known as Stochastic Computing (SC). Deviating from the standard …
computational approach known as Stochastic Computing (SC). Deviating from the standard …