By mimicking the highly parallel biological systems, neuromorphic hardware provides the
capability of information processing within a compact and energy-efficient platform …

Using memristive properties common for titanium dioxide thin film devices, we designed a
simple write algorithm to tune device conductance at a specific bias point to 1% relative …

Present memory technologies, including DRAM (dynamic random access memory), SRAM
(static random access memory), and flash, are potentially approaching their scalability limits …

Memristors are widely used in hardware security applications. Research progress in
memristor‐based physical unclonable functions (PUFs), random number generators …

The three basic electrical circuit elements, namely, capacitor, which was invented by Ewald
Georg von Kleist in 1745, resistor, which was invented by Georg Simon Ohm in 1827, and …

Novel computing architectures based on resistive switching memories (also known as
memristors or RRAMs) have been shown to be promising approaches for tackling the …

This paper presents a simulated memristor crossbar implementation of a deep
Convolutional Neural Network (CNN). In the past few years deep neural networks …

Deep analog artificial neural networks (ANNs) perform complex classification problems with
remarkably high accuracy. However, they rely on humongous amount of power to perform …

Tantalum oxide memristors can switch continuously from a low-conductance
semiconducting to a high-conductance metallic state. At the boundary between these two …

TaO x-based memristors have recently demonstrated both subnanosecond resistance
switching speeds and very high write/erase switching endurance. Here we show that the …