Recently, integrating ferroelectric materials with nanotransistors such as carbon nanotube
field-effect transistors (CNTFETs) has opened new doors for demonstrating a new …

Ternary logic has been investigated for several years as it can provide substantial
advantages in reducing the complexity of operations and the number of interconnects. On …

Silicon-based semiconductor transistors are approaching their physical limits due to
shrinking feature sizes. Simultaneously, traditional silicon-based von Neumann …

The convolutional neural network (CNN) is a significant part of the artificial intelligence (AI)
systems widely used in different tasks. The binarized neural networks (BNNs) reduce power …

In this article, a variation-aware ternary true random number generator (TTRNG) is proposed
and simulated using stochastic switching of the magnetic tunnel junction (MTJ) in the current …

Associative memory (AM) is a subcategory of neural networks (NNs) inspired by human
memory. Over time, the need to process complex tasks has increased, leading to the …

Due to the limitations of traditional binary circuits, such as high power consumption and
large area and interconnections density, multi-valued logic (MVL) was offered as a solution …

This article introduces an innovative non‐volatile associative memory (AM) that leverages
spintronic synapses, employing magnetic tunnel junctions (MTJ) in conjunction with neurons …

This letter develops a reliable, integrated binary synapse and neuron model for hardware
implementation of binary neural networks. Thanks to the nonvolatile nature of magnetic …

Due to the success of artificial intelligence systems in solving complex problems, these
systems have been investigated in many applications. There is an increasing demand for …