Results 161 to 170 of about 36,882 (315)

A memristor-based energy-efficient compressed sensing accelerator with hardware-software co-optimization for edge computing. [PDF]

Natl Sci Rev
Jiao Y, Zhao H, Tang J, Zhou Y, Hu R, Jiang H, Li X, Huang J, Sun B, Sun W, Gao B, Qian H, Wu H.   +12 more
europepmc   +1 more source

Wearable fabric electronics for sensing, memory and neuromorphic computing applications

FlexMat, EarlyView.
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

Green-synthesized superparamagnetic and biocompatible Fe₃O₄ nanoparticles for memristive and synaptic bioelectronics. [PDF]

Sci Rep
Tayshete RR, Rokade KA, Ambole YV, Selvaraj M, Assiri MA, Patil AR, More KV, Chavan VD, Jeffery AA, Kim DK, Dongale TD, Desai MP.   +11 more
europepmc   +1 more source

Gradual volatile memristor–based artificial neurons with high uniformity for neuromorphic computing

InfoScience, EarlyView.
Schematic of leaky integrate‐and‐fire artificial neurons for MNIST image classification. Abstract Artificial neurons are pivotal for neuromorphic hardware, but the development of compact and uniform devices remains challenging. Conventional volatile memristors suffer from abrupt switching, which hinders spatiotemporal consistency.
Pengtao Li, Guobin Zhang, Zhihao Gong, Zijian Wang, Xuemeng Fan, Qi Luo, Zhejia Zhang, Dawei Gao, Mingkun Xu, Hua Wang, Shuai Zhong, Qing Wan, Yishu Zhang   +12 more
wiley   +1 more source

Actor-critic networks with analogue memristors mimicking reward-based learning. [PDF]

Nat Mach Intell
Portner K, Zellweger T, Martinelli F, Bégon-Lours L, Bragaglia V, Weilenmann C, Jubin D, Falcone DF, Hermann F, Hrynkevych O, Stecconi T, La Porta A, Drechsler U, Olziersky A, Offrein BJ, Gerstner W, Luisier M, Emboras A.   +17 more
europepmc   +1 more source

High‐mobility suspended MoS2 devices with tunable threshold voltage

InfoMat, EarlyView.
Due to their atomic‐scale thickness, two‐dimensional materials (2DMs) are highly sensitive to their environment, including the substrate. By fabricating various suspended molybdenum disulfide devices, this study demonstrates that the suspended structure can shield the influence of the substrate on the properties of 2DMs, thereby enabling better ...
Jiahao Yan, Xu Han, Dongke Rong, Zhaoxu Chen, Xinyue Li, Yehua Yang, Yingbei Huang, Tongtong Xue, Jiakai Wang, Zihao Guo, Shiqi Yang, JingHan Zhao, Yunyun Dai, Yang Chai, Jian‐gang Guo, Xia Liu, Yuan Huang, Yeliang Wang   +17 more
wiley   +1 more source

Gate tunable MoS2 memristive neuron for early fusion of visual and acoustic signals spiking neural network

InfoMat, EarlyView.
Current brain‐inspired computing chips require complex additional circuits to operate effectively, making them bulky and inefficient. We have created a single adjustable artificial neuron device made from MoS2 that can dynamically modulate its behavior on demand, eliminating the need for extra circuits and enabling it to process different types of ...
Yanming Liu, Yuyang Peng, Yuwan Hong, Peigen Zhang, Daixuan Wu, Fan Wu, Zhoujie Pan, Jingtai Wu, Yuxin Jin, Tian‐Ling Ren, He Tian   +10 more
wiley   +1 more source

Enhanced 2D MoTe₂ Analogue Switching through Laser Processing and ALD-Passivation for Dual-Function Neuromorphic Devices. [PDF]

Nano Lett
Radwan M, Hosseini-Shokouh SH, Shafi AM, Dias C, Khalid F, Rajeevan S, Hyttinen H, Ali F, Ahmed F, Sun Z, Lipsanen H.   +10 more
europepmc   +1 more source

Organic neuromorphic electronics powering intelligent sensory and edge computing systems

InfoMat, EarlyView.
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, Minji Chung, Hyun Woo Song, Seoyoung Kim, Eun Kwang Lee, Joon Hak Oh   +5 more
wiley   +1 more source

Memristor-based adaptive analog-to-digital conversion for efficient and accurate compute-in-memory. [PDF]

Nat Commun
Hong H, Du Z, Jiang M, Mao R, Ren Y, Li F, Mao W, Peng M, Zhang W, Liu Z, Li C, Wong N.   +11 more
europepmc   +1 more source