With the arrival of the era of big data, the conventional von Neumann architecture is now
insufficient owing to its high latency and energy consumption that originate from its …

This work focused on plasma-induced nitrogen-doped indium gallium zinc oxide (InGaZnO:
N) based resistive switching devices. Nitrogen atoms in the InGaZnO: N can reduce the …

The limits of transistor scaling and digital architectures are encouraging research into new
electronic materials, devices, and systems to meet growing computing demands. In the …

Separate memory and processing units are utilized in conventional von Neumann
computational architectures. However, regarding the energy and the time, it is costly to …

Memristor is assuming prominence due to its exceptionally low power consumption,
adaptable, and parallel signal processing capabilities that address the limitations of the von …

Conventional computers are limited in their performance due to the physical separation of
the memory and processing units. To overcome this, parallel computation using artificial …

In response to the growing need for efficient processing of temporal information,
neuromorphic computing systems are placing increased emphasis on the switching …