We propose a novel method for approximate hardware implementation of univariate math
functions with significantly fewer hardware resources compared to previous approaches …

This paper discusses the implementation of mathematical functions such as exponentials,
trigonometric functions, the sigmoid function and the perceptron function with molecular …

Stochastic computing has been used in recent years to create designs with significantly
smaller area by harnessing unary encoding of data. However, the low area advantage …

This article addresses polynomial computation with unipolar stochastic logic by exploiting
correlation between the bit-streams. The AND-OR, double-NAND, OR-AND and double …

The binary number representation has dominated digital logic for decades due to its
compact storage requirements. However, since the number system is positional, it needs to" …

Unary computing is a relatively new method for implementing non-linear functions using few
hardware resources compared to binary computing. In its original form, unary computing …

The binary number representation has dominated digital logic for decades due to its
compact storage requirements. An alternative representation is the unary number system …

Unary computing is a relatively new method for implementing arbitrary nonlinear functions
that uses unpacked, thermometer number encoding, enabling much lower hardware costs …

Stochastic Computing (SC) in recent years has been defined as a digital computation
approach that operates on streams of random bits that represent probability values. In a bit …

Stochastic computing (SC) is an unconventional computation paradigm, in which digital
circuits are adopted to compute on stochastic bit streams. The value represented by a …