Results 31 to 40 of about 716 (180)
Thermal Heating in ReRAM Crossbar Arrays: Challenges and Solutions
The high speed, scalability, and parallelism offered by ReRAM crossbar arrays foster the development of ReRAM-based next-generation AI accelerators. At the same time, the sensitivity of ReRAM to temperature variations decreases $\text{R}_{ON}/\text{R}_ ...
Kamilya Smagulova +2 more
doaj +1 more source
Optimal Design of FPGA Switch Matrix with Ion Mobility Based Nonvolatile ReRAM
There are high demands for research of new device with greater accessing speed and stability to replace the current SRAM storage cell. The resistive random access memory (ReRAM) is a metal oxide which is based on nonvolatile memory device possessing the ...
Peng Hai-yun, Zhou Wen-gang
doaj +1 more source
Herein, a feasible method is provided for circuit implementation of the convolutional neural network (CNN) in neuromorphic hardware using the multiple layers‐stacked resistance switching random access memory (ReRAM).
Yumin Kim +8 more
doaj +1 more source
Sequence learning in a spiking neuronal network with memristive synapses
Brain-inspired computing proposes a set of algorithmic principles that hold promise for advancing artificial intelligence. They endow systems with self learning capabilities, efficient energy usage, and high storage capacity.
Younes Bouhadjar +5 more
doaj +1 more source
A Reconfigurable 4T2R ReRAM Computing In-Memory Macro for Efficient Edge Applications
Resistive random access memory (ReRAM)-based computing in-memory (CIM) is a promising solution to overcome the von-Neumann bottleneck in conventional computing architectures. We propose a reconfigurable ReRAM architecture using a novel 4T2R bit-cell that
Yuzong Chen +3 more
doaj +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Effect of Programming Schemes on Short-Term Instability in 1T1R Configuration
Short-term instability is one of the key challenges for redox-based resistive random-access memory (ReRAM) reaching practical applications in the field of neuromorphic computing.
Xiaohua Liu +7 more
doaj +1 more source
Nature‐Derived Chitosan Biopolymer: A Promising Candidate for Sustainable Electronics
In the creation of environmentally friendly devices, nature‐derived chitosan biopolymer is a promising contender for sustainable electronic research. It can be utilized to create more ecologically friendly scalable gadgets and has a variety of uses in different active layers of electronics.
Joshua McDonald +3 more
wiley +1 more source
Ising-ReRAM: A Low Power Ising Machine ReRAM Crossbar for NP Problems
4 pages + 1 page reference, 4 figures, 2 tables, targeting IEEE conference (e.g. ISCAS)
Everest Bloomer +3 more
openaire +3 more sources
Battery‐Inspired Electrochemical Synapses for Neuromorphic Applications
Battery‐ion‐inspired synaptic devices integrate diverse electrolyte systems (solid, ion‐gel, liquid) with transition metal oxides, two‐dimensional materials, and organic channels to regulate ion‐electron coupling. By tailoring ion transport and host interactions, these platforms enable controllable plasticity and energy‐efficient implementations for ...
Won Woo Lee +6 more
wiley +1 more source

