Stochastic computing (SC) is an unconventional method of computation that treats data as
probabilities. Typically, each bit of an N-bit stochastic number (SN) **s randomly chosen to …

Stochastic logic performs computation on data represented by random bit-streams. The
representation allows complex arithmetic to be performed with very simple logic, but it …

Stochastic computing (SC) has been used for low-cost and low power implementation of
neural networks. Inherent inaccuracy and long latency of processing random bit-streams …

Recently, deterministic approaches to stochastic computing (SC) have been proposed.
These compute with the same constructs as stochastic computing but operate on …

Sorting is a common task in a wide range of applications from signal and image processing
to switching systems. For applications that require high performance, sorting is often …

Nowadays Internet of Things (IoT) and mobile systems use more and more Machine
Learning based solutions, which implies a high computation cost with a low energy …

Stochastic computing (SC) is an alternative computing paradigm that processes data in the
form of uniform bit-streams. SC is fault-tolerant and can compute on small, efficient circuits …

To address the power and area bottleneck imposed by the frontend feature extractor relative
to the backend neural network in on-device keyword spotting (KWS), we propose two time …

Stochastic computing (SC) is an old but reviving computing paradigm for its simple data path
that can perform various arithmetic operations. It allows for low power implementation, which …

Superconducting technology is a prime candidate for the future of computing. However,
current superconducting prototypes are limited to small-scale examples due to stringent …