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

The topologically protected magnetic spin configurations known as Skyrmions offer
promising applications due to their stability, mobility, and localization. We emphasize how to …

Hyperdimensional computing (HDC) is an emerging computing paradigm that imitates the
brain's structure to offer a powerful and efficient processing and learning model. In HDC, the …

Effectively tackling the upcoming “zettabytes” data explosion requires a huge quantum leap
in our computing power and energy efficiency. However, with the Moore's law dwindling …

Stochastic unary computing provides low-area circuits. However, the required area
consuming stochastic number generators (SNGs) in these circuits can diminish their overall …

Abstract Convolutional Neural Networks (CNNs) achieve state-of-the-art performance in
many recognition problems. However, CNN models are computation-intensive and require …

As the energy and hardware investments necessary for conventional high‐precision digital
computing continue to explode in the era of artificial intelligence (AI), a change in paradigm …

Stochastic computing (SC) is an emerging computing technique that promises high density,
low power, and error tolerant solutions. In SC, values are encoded as unary bitstreams and …

Stochastic computing (SC), which is an approximate computation with probabilities, has
attracted attention as an alternative to deterministic computing. In this paper, we discuss a …

General matrix multiplication (GEMM) is universal in various applications, such as signal
processing, machine learning, and computer vision. Conventional GEMM hardware …