Results 81 to 90 of about 1,614,108 (280)

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

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

Dynamic event-based optical identification and communication

Frontiers in Neurorobotics
Optical identification is often done with spatial or temporal visual pattern recognition and localization. Temporal pattern recognition, depending on the technology, involves a trade-off between communication frequency, range, and accurate tracking.
Axel von Arnim, Jules Lecomte, Naima Elosegui Borras, Naima Elosegui Borras, Stanisław Woźniak, Angeliki Pantazi   +5 more
doaj   +1 more source

Recent Progress of Protein‐Based Data Storage and Neuromorphic Devices

Advanced Intelligent Systems, 2021
By virtue of energy efficiency, high speed, and parallelism, brain‐inspired neuromorphic computing is a promising technology to overcome the von Neumann bottleneck and capable of processing massive sophisticated tasks in the background of big data.
Junjie Wang, Fangsheng Qian, Shenming Huang, Ziyu Lv, Yan Wang, Xuechao Xing, Meng Chen, Su-Ting Han, Ye Zhou   +8 more
doaj   +1 more source

Electrically Induced Phase Transition and Synaptic Functionality in MoTe2/Graphene Memristors

Advanced Functional Materials, EarlyView.
An electrically induced reversible 2H ↔ 1T′ phase transition is demonstrated in a vertical Au/Ti/MoTe2/graphene memristor with a laterally contacted graphene electrode. Resistive switching proceeds through a compositionally invariant amorphous/2H ↔ amorphous/1T′ transformation, in which a self‐formed amorphous MoTe2 interfacial region is proposed to ...
Chien‐Hua Wang, Mu‐Pai Lee, Jhen‐Dong Tsai, Liang‐Ying Hsieh, Jui‐Yuan Chen, Chun‐Wei Huang, Yen‐Fu Lin, Wen‐Wei Wu   +7 more
wiley   +1 more source

LiNbO3-based memristors for neuromorphic computing applications: a review

Frontiers in Electronic Materials
Neuromorphic computing is a promising paradigm for developing energy-efficient and high-performance artificial intelligence systems. The unique properties of lithium niobate-based (LiNbO3)-based memristors, such as low power consumption, non-volatility ...
Caxton Griffith Kibebe, Yue Liu
doaj   +1 more source

Binding events through the mutual synchronization of spintronic nano-neurons

Nature Communications, 2022
Spin-torque nano-oscillators have sparked interest for their potential in neuromorphic computing, however concrete demonstration are limited. Here, Romera et al show how spin-torque nano-oscillators can mutually synchronise and recognize temporal ...
Miguel Romera, Philippe Talatchian, Sumito Tsunegi, Kay Yakushiji, Akio Fukushima, Hitoshi Kubota, Shinji Yuasa, Vincent Cros, Paolo Bortolotti, Maxence Ernoult, Damien Querlioz, Julie Grollier   +11 more
doaj   +1 more source

Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites

Advanced Functional Materials, EarlyView.
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto, Javier Zamudio‐García, Abraham Sánchez‐Caballero, David Marrero‐López, Vincenzo Esposito   +4 more
wiley   +1 more source

Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices

Advanced Functional Materials, EarlyView.
This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies, Bin Han, Paolo Samorì   +2 more
wiley   +1 more source

2D materials-based crossbar array for neuromorphic computing hardware

Neuromorphic Computing and Engineering
The growing demand for artificial intelligence has faced challenges for traditional computing architectures. As a result, neuromorphic computing systems have emerged as possible candidates for next-generation computing systems.
Hyeon Ji Lee, Sungwoo Park, Juhui Kim, Min Hyuk Park, Jihyun Kim, Jung Ah Lim, Ho Won Jang   +6 more
doaj   +1 more source