In-memory computingCombinational logicReal-time image processingCMOS technology and its sustainable scaling have been the facilitators for the design and modeling of computers that have been inciting a wider range of applications. A broad dependence on technology, voluminous data, and rising processing ...
Memristor-based circuits offer low hardware costs and in-memory computing, but full-memristive circuit integration for different algorithm remains limited. Cellular automata (CA) has been noticed for its well-known parallel, bio-inspired, computational c
Semantic text classificationIn-memory computingText classification is an important component of digital media such as natural language processing, image labeling, sentiment analysis, spam filtering, chatbots, and translators. In this work, effort was devoted to develop an in-memory processor for ...
Entering the nowadays Internet of Thing, Big Data, and artificial intelligence era, global data explodes exponentially in the great diverse area of municipal traffic control, domestic security surveillance, medication service, industrial production, and etc1, and has reached 40 trillion gigabytes in tot...
Memristors and memristor crossbar arrays have been widely studied for neuromorphic and other in-memory computing applications.To achieve optimal system performance, however, it is essential to integrate memristor crossbars with peripheral andcontrol circuitry. Here, we report a fully functional, hybrid ...
causing by their underlying physical restriction and economic costs. However, such obstacles can be eliminated by non-volatile resistive memory technologies (known as memristors), arising from their compacted area, speed, power consumption high efficiency, and in-memory computing capability. This review...
Memristor(for MEMory ResISTOR) is the fourth fundamental circuit element in addition to resistors, inductors and capacitors. It was postulated in 1971 by Chua[2]and later implemented (as a nanoelectronicTiO2device) in Hewlett–Packard (HP) laboratory by Stanley Williams and his team[3]. Conceptual...
arrangement of structural bonding units in amorphous perovskite films at room temperature can be used to largely tune the oxygen vacancy (defect) kinetics for resistive switches (memristors) that are both theoretically challenging to predict and promising for future memory and neuromorphic computing ...
The exponential growth of various complex images is putting tremendous pressure on storage systems. Here, we propose a memristor-based storage system with an integrated near-storage in-memory computing-based convolutional autoencoder compression network
In this context, the memristor is an ideal candidate owing to its nonlinearity, passivity, and in-memory computing capabilities. The present work demonstrates the development of a bio-mimicking tungsten trioxide (WO3) memristor device using simple and costs effective spray pyrolysis method. The ...