Results 111 to 120 of about 2,890 (229)
Bioinspired Crossmodal Tactile Sensory Nerve for High‐Accurate Object Recognition
An artificial crossmodal sensory neuron system (ACSNS) that combines a complementary memristor with high‐sensitivity pressure–temperature bimodal sensors, which integrate tactile perception, information storage, and neuromorphic computing. With the aid of machine learning, this ACSNS presents an improved accuracy of 96.67% in recognizing temperatures ...
Delu Chen +8 more
wiley +1 more source
Toward bio-inspired information processing with networks of nano-scale switching elements
Unconventional computing explores multi-scale platforms connecting molecular-scale devices into networks for the development of scalable neuromorphic architectures, often based on new materials and components with new functionalities. We review some work
Konkoli, Zoran, Wendin, Göran
core
Lithography assisted fiber-drawing nanomanufacturing
We present a high-throughput and scalable technique for the production of metal nanowires embedded in glass fibres by taking advantage of thin film properties and patterning techniques commonly used in planar microfabrication. This hybrid process enables
Bastock, Paul +6 more
core +1 more source
An Analogue Memristor Based on Conjugated Porous Polymer Composite for Artificial Synapse
The conjugated porous polymers integrated with boron‐doped carbon dots form a composite for organic memristor in an artificial synapse. The memristor shows analog‐type resistive switching behavior under ultraviolet irradiation, which is attributed to photoinduced redox.
Haotian Hao +12 more
wiley +1 more source
Wearable fabric electronics for sensing, memory and neuromorphic computing applications
Overview of textile electronic devices for sensing, memory and neuromorphic computing applications. Abstract With the advent of the big data era, traditional Von Neumann architecture is facing an energy consumption bottleneck due to separated memory and computing units, inspiring the research of brain‐like neuromorphic computing devices for artificial ...
Bo Sun, Lin Lu, Jialin Meng, Tianyu Wang
wiley +1 more source
A Comparative Study of Reservoir Computing for Temporal Signal Processing [PDF]
Reservoir computing (RC) is a novel approach to time series prediction using recurrent neural networks. In RC, an input signal perturbs the intrinsic dynamics of a medium called a reservoir.
Banda, Peter +4 more
core +2 more sources
This review first introduces the fundamental concepts of artificial synapses and synaptic plasticity, then discusses the device structures and operation mechanisms of optoelectronic synapses based on two‐dimensional transition metal dichalcogenides, highlights their applications in neuromorphic vision systems and computing, and concludes with key ...
Xiaona Sun +3 more
wiley +1 more source
Organic neuromorphic electronics powering intelligent sensory and edge computing systems
Organic electronic materials are promising candidates for neuromorphic sensing applications, including chemical, physical, visual, and multimodal sensing, owing to their mechanical softness, biocompatibility, and intrinsic ionic–electronic coupling.
Seungjun Woo +5 more
wiley +1 more source
Progress of MXenes‐based responsive materials for soft sensors and actuators
MXene, a promising 2D material, excels at mimicking human sensing and feedback system, making it ideal for intelligent robots. This review first covers its structure, properties, and synthesis. It then summarizes recent MXene‐based sensors and actuator.
Peidi Zhou +10 more
wiley +1 more source
Development of 4D printing and its performance testing methods
This paper reviews the molding methods of 4D printing and its applications in various fields, with emphasis on 4D printing performance testing methods. Abstract 4D printing is a cutting‐edge additive manufacturing technology that introduces the time dimension, allowing printed objects to have dynamic, changeable properties, functions or shapes ...
Guiwei Li +8 more
wiley +1 more source

