The future of memristors: Materials engineering and neural networks
K Sun, J Chen, X Yan - Advanced Functional Materials, 2021 - Wiley Online Library
Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …
booming, and neural networks have become the hot research direction. However, due to the …
2D material based synaptic devices for neuromorphic computing
G Cao, P Meng, J Chen, H Liu, R Bian… - Advanced Functional …, 2021 - Wiley Online Library
The demand for computing power has been increasing exponentially since the emergence
of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel …
of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel …
Flexible Solution‐Processable Black‐Phosphorus‐Based Optoelectronic Memristive Synapses for Neuromorphic Computing and Artificial Visual Perception …
Being renowned for operating with visible‐light pulses and electrical signals, optoelectronic
memristive synaptic devices have excellent potential for neuromorphic computing systems …
memristive synaptic devices have excellent potential for neuromorphic computing systems …
Mammalian-brain-inspired neuromorphic motion-cognition nerve achieves cross-modal perceptual enhancement
Perceptual enhancement of neural and behavioral response due to combinations of
multisensory stimuli are found in many animal species across different sensory modalities …
multisensory stimuli are found in many animal species across different sensory modalities …
Flexible neuromorphic electronics for computing, soft robotics, and neuroprosthetics
Flexible neuromorphic electronics that emulate biological neuronal systems constitute a
promising candidate for next‐generation wearable computing, soft robotics, and …
promising candidate for next‐generation wearable computing, soft robotics, and …
In-memory computing with emerging memory devices: Status and outlook
In-memory computing (IMC) has emerged as a new computing paradigm able to alleviate or
suppress the memory bottleneck, which is the major concern for energy efficiency and …
suppress the memory bottleneck, which is the major concern for energy efficiency and …
Organic electronic synapses with low energy consumption
The von Neumann computing architecture consists of separated processing and memory
elements; it is too bulky and energy-intensive to be implemented in the upcoming artificial …
elements; it is too bulky and energy-intensive to be implemented in the upcoming artificial …
Electrolyte-gated transistors for synaptic electronics, neuromorphic computing, and adaptable biointerfacing
Functional emulation of biological synapses using electronic devices is regarded as the first
step toward neuromorphic engineering and artificial neural networks (ANNs). Electrolyte …
step toward neuromorphic engineering and artificial neural networks (ANNs). Electrolyte …
Three-dimensional nanoscale flexible memristor networks with ultralow power for information transmission and processing application
To construct an artificial intelligence system with high efficient information integration and
computing capability like the human brain, it is necessary to realize the biological …
computing capability like the human brain, it is necessary to realize the biological …
Mechanoplastic tribotronic floating‐gate neuromorphic transistor
The emulation of synaptic plasticity to achieve sophisticated cognitive functions and
adaptive behaviors is critical to the evolution of neuromorphic computation and artificial …
adaptive behaviors is critical to the evolution of neuromorphic computation and artificial …