In the rapidly evolving landscape of electronics, Artificial Intelligence Circuits and Systems
(AICAS) stand out as a groundbreaking frontier. This review provides an exhaustive …

Most modern CPU architectures are based on the von Neumann principle, where memory
and processing units are separate entities. Although processing unit performance has …

Binary Neural Networks (BNN) have binarized (-1 and 1) weights and feature maps.
Achieving smaller model sizes and computational simplicity, they are well suited for edge-AI …

Today, one of the problems the scientific community is called upon to tackle is the well-
known von Neumann bottleneck, which concerns the limitation in the bandwidth between …

The speed of modern digital systems is severely limited by memory latency (the “Memory
Wall” problem). Data exchange between Logic and Memory is also responsible for a large …

High flexibility, infinite reconfigurability, and fast design-to-market of FPGAs make them a
promising platform for modern applications, such as IoT, medical, and automotive …

In the past years, the “memory wall problem” has questioned the feasibility of the traditional
von Neumann architecture for new electronic systems. Due to several technological …

Nowadays, various memory-hungry applications like machine learning algorithms are
knocking" the memory wall". Toward this, emerging memories featuring computational …

We investigate the use of endohedral fullerenes and 6-(Ferrocenyl) hexanethiol cation as
molecular non-volatile memory devices. We demonstrate stable encoding of the information …

Today, one of the problems the scientific community is called upon to tackle is the well-
known von Neumann bottleneck. Among the various solutions under study, in the recent …