Results 111 to 120 of about 2,032,630 (292)

Neuromorphic Computing with Antiferromagnetic Artificial Neurons [PDF]

The increasing focus on Artificial Intelligence (AI) presents notable challenges, especially in the power requirements essential for training AI models.
Bradley, Hannah D
core   +1 more source

Dynamic Instability and Time Domain Response of a Model Halide Perovskite Memristor for Artificial Neurons. [PDF]

J Phys Chem Lett, 2022
Bisquert J, Guerrero A.
europepmc   +1 more source

Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing

Advanced Functional Materials, EarlyView.
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam, Jihyun Kim, Soobeen Ji, In Soo Kim, Sejin Kim, Eungseon Yeon, Do Kyung Hwang, Iva Plutnarová, Zdeněk Sofer, Sang Min Won, Joohoon Kang   +10 more
wiley   +1 more source

Artificial Neurons Based on Ag/V₂C/W Threshold Switching Memristors. [PDF]

Nanomaterials (Basel), 2021
Wang Y, Chen X, Shen D, Zhang M, Chen X, Chen X, Shao W, Gu H, Xu J, Hu E, Wang L, Xu R, Tong Y.   +12 more
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Artificial Neurons and Synapses Based on Al/a-SiN_xO_y:H/P⁺-Si Device with Tunable Resistive Switching from Threshold to Memory. [PDF]

Nanomaterials (Basel), 2022
Leng K, Zhu X, Ma Z, Yu X, Xu J, Xu L, Li W, Chen K.   +7 more
europepmc   +1 more source

Bio‐Inspired Artificial Ionic Mechanoreceptor

Advanced Functional Materials, EarlyView.
A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari, Jeppe Don, Lasse A. N. Pedersen, John Noee, Rassoul Tabassian   +4 more
wiley   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

Multistage, Self‐Sensing Artificial Muscles With Coordination From Liquid Crystal Elastomer‐Graphene Composite Fibers

Advanced Functional Materials, EarlyView.
Inspired by skeletal muscles’ precision and endurance, CoilLCE integrates a self‐sensing liquid crystal elastomer/graphene artificial muscle with an embedded Joule‐heating copper coil, enabling closed‐loop multistage actuation with programmable intermediate states (strain accuracy of 2%), and antagonistic coordination (32% total strain). These features
Ziyun Zhang, Xuelin Wu, Yinding Chi, Qingya Huang, Yaoye Hong, Antonio Proctor Martinez, Jingxian Wu, Bingzhi He, Cynthia Sung, Shu Yang   +9 more
wiley   +1 more source

An artificial visual neuron with multiplexed rate and time-to-first-spike coding

Nature Communications
Human visual neurons rely on event-driven, energy-efficient spikes for communication, while silicon image sensors do not. The energy-budget mismatch between biological systems and machine vision technology has inspired the development of artificial ...
Fanfan Li, Dingwei Li, Chuanqing Wang, Guolei Liu, Rui Wang, Huihui Ren, Yingjie Tang, Yan Wang, Yitong Chen, Kun Liang, Qi Huang, Mohamad Sawan, Min Qiu, Hong Wang, Bowen Zhu   +14 more
doaj   +1 more source