Artificial intelligence (AI) is accelerating the development of unconventional computing
paradigms inspired by the abilities and energy efficiency of the brain. The human brain …

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 …

Smart computing on edge-devices has demonstrated huge potential for various application
sectors such as personalized healthcare and smart robotics. These devices aim at bringing …

Technological and architectural improvements have been constantly required to sustain the
demand of faster and cheaper computers. However, CMOS down-scaling is suffering from …

Conventional von Neumann architectures cannot successfully meet the demands of
emerging computation and data-intensive applications. These shortcomings can be …

With the rise of the Internet of Things (IoT), a huge market for so-called smart edge-devices
is foreseen for millions of applications, like personalized healthcare and smart robotics …

In this article, we present a novel logic design style, namely, memristor overwrite logic
(MOL), associated with an original MOL-based computational memory. MOL relies on a fully …

Emerging computation-in-memory (CIM) paradigm offers processing and storage of data at
the same physical location, thus alleviating critical memory-processor communication …

A great deal of effort has recently been devoted to extending the usage of memristor
technology from memory to computing. Memristor-based logic design is an emerging …

In this short communication we analyze the impact of signal harmonics on the formation of
the pinched hysteresis loop using a commercial memristor device. We show that by using …