Electrochemical ionic synapses: progress and perspectives
Artificial neural networks based on crossbar arrays of analog programmable resistors can
address the high energy challenge of conventional hardware in artificial intelligence …
address the high energy challenge of conventional hardware in artificial intelligence …
Recent advances in synaptic nonvolatile memory devices and compensating architectural and algorithmic methods toward fully integrated neuromorphic chips
Nonvolatile memory (NVM)‐based neuromorphic computing has been attracting
considerable attention from academia and the industry. Although it is not completely …
considerable attention from academia and the industry. Although it is not completely …
Flexible VO2 Films for In‐Sensor Computing with Ultraviolet Light
G Li, D Xie, Z Zhang, Q Zhou, H Zhong… - Advanced Functional …, 2022 - Wiley Online Library
With their unique advantages in portability, shape adaptability, and human friendly surfaces,
flexible electronics pave the way for the implementation of wearable electronic textiles and …
flexible electronics pave the way for the implementation of wearable electronic textiles and …
A bi-functional three-terminal memristor applicable as an artificial synapse and neuron
Due to their significant resemblance to the biological brain, spiking neural networks (SNNs)
show promise in handling spatiotemporal information with high time and energy efficiency …
show promise in handling spatiotemporal information with high time and energy efficiency …
Elucidating Ionic Programming Dynamics of Metal‐Oxide Electrochemical Memory for Neuromorphic Computing
Cross‐point arrays of synaptic devices have been investigated as a core platform for
neuromorphic computing architectures. To achieve a significant speed boost in deep neural …
neuromorphic computing architectures. To achieve a significant speed boost in deep neural …
Exploring the Cutting‐Edge Frontiers of Electrochemical Random Access Memories (ECRAMs) for Neuromorphic Computing: Revolutionary Advances in Material‐to …
Advanced materials and device engineering has played a crucial role in improving the
performance of electrochemical random access memory (ECRAM) devices. ECRAM …
performance of electrochemical random access memory (ECRAM) devices. ECRAM …
Advances in neuromorphic devices for the hardware implementation of neuromorphic computing systems for future artificial intelligence applications: A critical review
Neuromorphic Computing (NC) is considered as the next generation of artificial intelligence
(AI). AI can transform the way people live and work, however, the current Neumann …
(AI). AI can transform the way people live and work, however, the current Neumann …
[HTML][HTML] Impact of asymmetric weight update on neural network training with tiki-taka algorithm
Recent progress in novel non-volatile memory-based synaptic device technologies and their
feasibility for matrix-vector multiplication (MVM) has ignited active research on implementing …
feasibility for matrix-vector multiplication (MVM) has ignited active research on implementing …
Impact of electrolyte density on synaptic characteristics of oxygen-based ionic synaptic transistor
An oxygen-based ionic synaptic transistor (O-IST) is a promising synaptic element for
neuromorphic computing. In this study, we demonstrated that the density of the electrolyte …
neuromorphic computing. In this study, we demonstrated that the density of the electrolyte …
On-chip integrated atomically thin 2D material heater as a training accelerator for an electrochemical random-access memory synapse for neuromorphic computing …
An artificial synapse based on oxygen-ion-driven electrochemical random-access memory
(O-ECRAM) devices is a promising candidate for building neural networks embodied in …
(O-ECRAM) devices is a promising candidate for building neural networks embodied in …