Stochastic computing (SC) has gained popularity for the creation of energy-efficient artificial
neural networks (ANNs). For instance, by using stochastic computing, the different layers in …

High-performance image classification models involve massive computation and an energy
cost that are unaffordable for resource-limited platforms. As a solution, reservoir computing …

In this chapter, the authors have reviewed on optical character recognition. The study
belongs to both typed characters and handwritten character recognition. Online and offline …

Reservoir computing with cellular automata (ReCAs) is a promising concept by virtue of its
potential for effective hardware implementation. In this paper, we explore elementary cellular …

There is an increasing need for low-power Very Large-Scale Integration (VLSI) technology
as many AI applications are deployed in the network model, all of which require continuous …

As cloud computing matures, Machine Learning as a Service (MLaaS) has received more
attention. In many scenarios, sensitive information also has a demand for MLaaS, but it …

В статье исследовано применение подхода с использованием решетчатых моделей и
теории клеточных автоматов при идентификации протяженных объектов на …

[eng]• Introduction Recently, the state-of-the-art solution was to send data captured by
sensor nodes to the cloud and wait for the server's response. This server-dependent …

La regla 110 dels Autòmats Cel· lulars Elementals (Elementary Cellular Automata, ECA) és
especialment interessant ja que és capaç de simular una Màquina de Turing Universal …