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Multiply accumulate operations in memristor crossbar arrays for analog computing
J Chen, J Li, Y Li, X Miao - Journal of Semiconductors, 2021 - iopscience.iop.org
Memristors are now becoming a prominent candidate to serve as the building blocks of non-
von Neumann in-memory computing architectures. By map** analog numerical matrices …
von Neumann in-memory computing architectures. By map** analog numerical matrices …
Memristive and CMOS devices for neuromorphic computing
Neuromorphic computing has emerged as one of the most promising paradigms to
overcome the limitations of von Neumann architecture of conventional digital processors …
overcome the limitations of von Neumann architecture of conventional digital processors …
Emerging neuromorphic devices
Artificial intelligence (AI) has the ability of revolutionizing our lives and society in a radical
way, by enabling machine learning in the industry, business, health, transportation, and …
way, by enabling machine learning in the industry, business, health, transportation, and …
Memory applications from 2D materials
As existing silicon-based memory technologies are reaching their fundamental limit,
emerging memory alternatives, such as resistive random‐access memories (RRAMs) …
emerging memory alternatives, such as resistive random‐access memories (RRAMs) …
An electro-photo-sensitive synaptic transistor for edge neuromorphic visual systems
N Duan, Y Li, HC Chiang, J Chen, WQ Pan, YX Zhou… - Nanoscale, 2019 - pubs.rsc.org
The practical application of optoelectronic artificial synapses in neuromorphic visual systems
is still hindered by their limited functionality, reliability and the challenge of mass production …
is still hindered by their limited functionality, reliability and the challenge of mass production …
AI hardware acceleration with analog memory: Microarchitectures for low energy at high speed
In this article, we present innovative microarchitectural designs for multilayer deep neural
networks (DNNs) implemented in crossbar arrays of analog memories. Data is transferred in …
networks (DNNs) implemented in crossbar arrays of analog memories. Data is transferred in …
Thermodynamic natural gradient descent
K Donatella, S Duffield, M Aifer, D Melanson… - ar**_Method_for_Convolutional_Neural_Network_Accelerator/links/5e92b9e4a6fdcca7890e2b51/High-Precision-Symmetric-Weight-Update-of-Memristor-by-Gate-Voltage-Ram**-Method-for-Convolutional-Neural-Network-Accelerator.pdf" data-clk="hl=vi&sa=T&oi=gga&ct=gga&cd=8&d=3413830984441600140&ei=Fm7CZ-GCPdmlieoP3JyVsQU" data-clk-atid="jBjdbjFdYC8J" target="_blank">[PDF] researchgate.net
High-precision symmetric weight update of memristor by gate voltage ram** method for convolutional neural network accelerator
Memristor emerges as the key enabler for neural network accelerator. Here, we demonstrate
high-precision symmetric weight update in a one transistor one resistor (1T1R) structure …
high-precision symmetric weight update in a one transistor one resistor (1T1R) structure …
Multivalued logic for optical computing with photonically enabled chiral bio-organic structures
Photonic bio-organic multiphase structures are suggested here for integrated thin-film
electronic nets with multilevel logic elements for multilevel computing via a reconfigurable …
electronic nets with multilevel logic elements for multilevel computing via a reconfigurable …