BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

330 related articles for article (PubMed ID: 36067752)

  • 1. Thermal Management in Neuromorphic Materials, Devices, and Networks.
    Torres F; Basaran AC; Schuller IK
    Adv Mater; 2023 Sep; 35(37):e2205098. PubMed ID: 36067752
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence.
    Abderrahmane N; Lemaire E; Miramond B
    Neural Netw; 2020 Jan; 121():366-386. PubMed ID: 31593842
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Hybrid oxide brain-inspired neuromorphic devices for hardware implementation of artificial intelligence.
    Wang J; Zhuge X; Zhuge F
    Sci Technol Adv Mater; 2021 May; 22(1):326-344. PubMed ID: 34025215
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Memristors for Neuromorphic Circuits and Artificial Intelligence Applications.
    Miranda E; Suñé J
    Materials (Basel); 2020 Feb; 13(4):. PubMed ID: 32093164
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Emerging Materials for Neuromorphic Devices and Systems.
    Kim MK; Park Y; Kim IJ; Lee JS
    iScience; 2020 Dec; 23(12):101846. PubMed ID: 33319174
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Synapse-Mimetic Hardware-Implemented Resistive Random-Access Memory for Artificial Neural Network.
    Seok H; Son S; Jathar SB; Lee J; Kim T
    Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991829
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Memristive and CMOS Devices for Neuromorphic Computing.
    Milo V; Malavena G; Monzio Compagnoni C; Ielmini D
    Materials (Basel); 2020 Jan; 13(1):. PubMed ID: 31906325
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Emerging Memristive Artificial Synapses and Neurons for Energy-Efficient Neuromorphic Computing.
    Choi S; Yang J; Wang G
    Adv Mater; 2020 Dec; 32(51):e2004659. PubMed ID: 33006204
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Neuromorphic Engineering: From Biological to Spike-Based Hardware Nervous Systems.
    Yang JQ; Wang R; Ren Y; Mao JY; Wang ZP; Zhou Y; Han ST
    Adv Mater; 2020 Dec; 32(52):e2003610. PubMed ID: 33165986
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Supervised Learning in All FeFET-Based Spiking Neural Network: Opportunities and Challenges.
    Dutta S; Schafer C; Gomez J; Ni K; Joshi S; Datta S
    Front Neurosci; 2020; 14():634. PubMed ID: 32670012
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Emerging photoelectric devices for neuromorphic vision applications: principles, developments, and outlooks.
    Zhang Y; Huang Z; Jiang J
    Sci Technol Adv Mater; 2023; 24(1):2186689. PubMed ID: 37007672
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artificial Neuron and Synapse Devices Based on 2D Materials.
    Lee G; Baek JH; Ren F; Pearton SJ; Lee GH; Kim J
    Small; 2021 May; 17(20):e2100640. PubMed ID: 33817985
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Advancements in Algorithms and Neuromorphic Hardware for Spiking Neural Networks.
    Javanshir A; Nguyen TT; Mahmud MAP; Kouzani AZ
    Neural Comput; 2022 May; 34(6):1289-1328. PubMed ID: 35534005
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Neuromorphic artificial intelligence systems.
    Ivanov D; Chezhegov A; Kiselev M; Grunin A; Larionov D
    Front Neurosci; 2022; 16():959626. PubMed ID: 36188479
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Roadmap on emerging hardware and technology for machine learning.
    Berggren K; Xia Q; Likharev KK; Strukov DB; Jiang H; Mikolajick T; Querlioz D; Salinga M; Erickson JR; Pi S; Xiong F; Lin P; Li C; Chen Y; Xiong S; Hoskins BD; Daniels MW; Madhavan A; Liddle JA; McClelland JJ; Yang Y; Rupp J; Nonnenmann SS; Cheng KT; Gong N; Lastras-Montaño MA; Talin AA; Salleo A; Shastri BJ; de Lima TF; Prucnal P; Tait AN; Shen Y; Meng H; Roques-Carmes C; Cheng Z; Bhaskaran H; Jariwala D; Wang H; Shainline JM; Segall K; Yang JJ; Roy K; Datta S; Raychowdhury A
    Nanotechnology; 2021 Jan; 32(1):012002. PubMed ID: 32679577
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Stimuli-Responsive Memristive Materials for Artificial Synapses and Neuromorphic Computing.
    Bian H; Goh YY; Liu Y; Ling H; Xie L; Liu X
    Adv Mater; 2021 Nov; 33(46):e2006469. PubMed ID: 33837601
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Resistive Switching Devices for Neuromorphic Computing: From Foundations to Chip Level Innovations.
    Udaya Mohanan K
    Nanomaterials (Basel); 2024 Mar; 14(6):. PubMed ID: 38535676
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Towards spike-based machine intelligence with neuromorphic computing.
    Roy K; Jaiswal A; Panda P
    Nature; 2019 Nov; 575(7784):607-617. PubMed ID: 31776490
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Memristive Artificial Synapses for Neuromorphic Computing.
    Huang W; Xia X; Zhu C; Steichen P; Quan W; Mao W; Yang J; Chu L; Li X
    Nanomicro Lett; 2021 Mar; 13(1):85. PubMed ID: 34138298
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Magnetic Elements for Neuromorphic Computing.
    Blachowicz T; Ehrmann A
    Molecules; 2020 May; 25(11):. PubMed ID: 32486173
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.