Dense crossbar arrays of non-volatile memory (NVM) devices represent one possible path
for implementing massively-parallel and highly energy-efficient neuromorphic computing …

Spintronics is a growing research field that focuses on exploring materials and devices that
take advantage of the electron's “spin” to go beyond charge based devices. The most …

Neuromorphic computing (NC) is a new generation of artificial intelligence. Memristors are
promising candidates for NC owing to the feasibility of their ultrahigh‐density 3D integration …

In this review, a comprehensive survey of different oxide-based resistive random-access
memories (RRAMs) for neuromorphic computing is provided. We begin with the history of …

Magnetic skyrmions are promising candidates for next-generation information carriers,
owing to their small size, topological stability, and ultralow depinning current density. A wide …

Neuromorphic computing, inspired by the biological nervous system, has attracted
considerable attention. Intensive research has been conducted in this field for develo** …

Abstract Spiking Neural Networks (SNNs) have emerged as a powerful neuromorphic
computing paradigm to carry out classification and recognition tasks. Nevertheless, the …

Non-Boolean computing based on emerging postCMOS technologies can potentially pave
the way for low-power neural computing platforms. However, existing work on such …

As CMOS technology begins to face significant scaling challenges, considerable research
efforts are being directed to investigate alternative device technologies that can serve as a …

Brain-inspired computing architectures attempt to mimic the computations performed in the
neurons and the synapses in the human brain in order to achieve its efficiency in learning …