The design of modern convolutional artificial neural networks (ANNs) composed of formal
neurons copies the architecture of the visual cortex. Signals proceed through a hierarchy …

Several resistive memory technologies (RRAMs) are prominent, but few are fulfilling the
requirements for CMOS integration and meet the commercialization standards. In this work …

This study presents a novel photodiode technology with augmented optoelectronic
capabilities through the incorporation of quantum dots (QDs). The photodiode, composed of …

Resistive switching has provided a significant avenue for electronic neural networks and
neuromorphic systems. Inspired by the active regulation of neurotransmitter secretion …

Stoichiometric SiN x layers (x=[N]/[Si]= 1.33) are doped with Si atoms by ultra-low energy ion
implantation (ULE-II) and subsequently annealed at different temperatures in inert ambient …

In this work, the fabrication of crossbar arrays of silicon nitride resistive memories on silicon-
on-insulator substrate and their utilization to realize multi-rationed logic circuits are …

Arrays of memristive devices coupled with photosensors can be used for capturing and
processing visual information, thereby realizing the concept of “in-sensor computing”. This is …

Nanotechnology-enabled novel RF switches have emerged as a promising alternative to
MEMS, owing to current technological limitations of the latter. Additionally, recent research …

Si 3 N 4-based ReRAM devices showcase intriguing performance characteristics of low
switching threshold, high endurance and retention that lay the foundations for the …

Unconventional circuits with built-in memory and computing functionalities are becoming the
cornerstones of artificial intelligence (AI) at the edge. In the currently deployed systems …