Traditional von Neumann computing systems involve separate processing and memory
units. However, data movement is costly in terms of time and energy and this problem is …

Modern computers are based on the von Neumann architecture in which computation and
storage are physically separated: data are fetched from the memory unit, shuttled to the …

To tackle important combinatorial optimization problems, a variety of annealing-inspired
computing accelerators, based on several different technology platforms, have been …

In-memory computing provides an opportunity to meet the growing demands of large data-
driven applications such as machine learning, by colocating logic operations and data …

Computing in memory (CIM) could be used to overcome the von Neumann bottleneck and to
provide sustainable improvements in computing throughput and energy efficiency …

Creating functional electrical circuits using individual or ensemble molecules, often termed
as “molecular-scale electronics”, not only meets the increasing technical demands of the …

Facing the exponential growth of data digital communications and the advent of artificial
intelligence, there is an urgent need for information technologies with huge storage capacity …

At the end of a rush lasting over half a century, in which CMOS technology has been
experiencing a constant and breathtaking increase of device speed and density, Moore's …

This review article attempts to provide a comprehensive review of the recent progress in the
so-called resistive random access memories (RRAMs). First, a brief introduction is presented …

Neuromorphic circuits emulating the bio‐brain functionality via artificial devices have
achieved a substantial scientific leap in the past decade. However, even with the advent of …