41 citations · 87 across the 5 of their papers we have counts for
5 papers
Graphene-based RRAM devices for neural computing
Rajalekshmi TR, Rinku Rani Das, Chithra R +1
Resistive random access memory (RRAM) is very well known for its potential application in in-memory and neural computing. However, they often have different types of device-to-devi…
Analog Image Denoising with an Adaptive Memristive Crossbar Network
O. Krestinskaya, K. N. Salama, A. P. James
Noise in image sensors led to the development of a whole range of denoising filters. A noisy image can become hard to recognize and often require several types of post-processing c…
Variability-aware Memristive Crossbars -- A Tutorial
Alex James, Leon Chua
Memristor crossbar architecture is one of the most popular circuit configurations due to its wide range of practical applications. The crossbar architecture can emulate the weighte…
Analog Neural Computing with Super-resolution Memristor Crossbars
A. P. James, L. O. Chua
Memristor crossbar arrays are used in a wide range of in-memory and neuromorphic computing applications. However, memristor devices suffer from non-idealities that result in the va…
Variation-aware Binarized Memristive Networks
Corey Lammie, Olga Krestinskaya, Alex James +1
The quantization of weights to binary states in Deep Neural Networks (DNNs) can replace resource-hungry multiply accumulate operations with simple accumulations. Such Binarized Neu…