Zobrazeno 1 - 10
of 8 069
pro vyhledávání: '"Crossbar"'
Publikováno v:
ETRI Journal, Vol 46, Iss 5, Pp 865-877 (2024)
This paper presents a membrane computation error-minimized mixed-mode spiking neural network (SNN) crossbar array. Our approach involves imple-menting an embedded dummy switch scheme and a mid-node pre-charge scheme to construct a high-precision curr
Externí odkaz:
https://doaj.org/article/f7ddd1eb2f51412fb390eccb58edd96f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Self-rectifying memristive devices have emerged as promising contenders for low-power in-memory computing, presenting numerous advantages. However, characterizing the functional behavior of passive crossbar arrays incorporating these devices
Externí odkaz:
https://doaj.org/article/a41dc7d84a80413786fd80c0addbd591
Autor:
Se Yeon Jeong, Jaeho Jung, Hyun Kyu Seo, Jae-Seung Jeong, June Hyuk Lee, Gun Hwan Kim, Min Kyu Yang
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 102906- (2024)
With the accelerated development of artificial intelligence-oriented hardware components, research on low-power, high-density memory devices is actively being conducted. Among various memory devices, resistive switching devices with crossbar structur
Externí odkaz:
https://doaj.org/article/031f9ec3fb1f49658bbf3fe0b522c090
Publikováno v:
Advanced Electronic Materials, Vol 10, Iss 10, Pp n/a-n/a (2024)
Abstract Self‐attention mechanism is critically central to the state‐of‐the‐art transformer models. Because the standard full self‐attention has quadratic complexity with respect to the input's length L, resulting in prohibitively large mem
Externí odkaz:
https://doaj.org/article/29808aeb5d76400dbe10823b154107f1
Publikováno v:
Nano Convergence, Vol 11, Iss 1, Pp 1-20 (2024)
Abstract Two-dimensional (2D) materials have emerged as promising building blocks for next generation memristive devices, owing to their unique electronic, mechanical, and thermal properties, resulting in effective switching mechanisms for charge tra
Externí odkaz:
https://doaj.org/article/de0fc83be1914918a14b196bac5e0ea2
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 4883-4896 (2024)
Abstract The performance improvement of CMOS computer fails to meet the enormous data processing requirement of artificial intelligence progressively. The memristive neural network is one of the most promising circuit hardwares to make a breakthrough
Externí odkaz:
https://doaj.org/article/7b68cd735f3a48c88a7e69c8d3e2997e
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract Sand cat swarm optimization algorithm is a meta-heuristic algorithm created to replicate the hunting behavior observed by sand cats. The presented sand cat swarm optimization method (CWXSCSO) addresses the issues of low convergence precision
Externí odkaz:
https://doaj.org/article/e6d550e9029949b4866cea70c7e7a26f
Autor:
TUNALI, ONUR1 onur.tunali@itu.edu.tr, ALTUN, MUSTAFA1 altunmus@itu.edu.tr
Publikováno v:
ACM Computing Surveys. Nov2018, Vol. 50 Issue 6, p1-35. 35p. 10 Diagrams, 20 Charts, 2 Graphs.
Akademický článek
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Autor:
Jeong, Se Yeon a, 1, Jung, Jaeho b, 1, Seo, Hyun Kyu a, 1, Jeong, Jae-Seung a, 1, Lee, June Hyuk a, Kim, Gun Hwan b, c, ⁎⁎, Yang, Min Kyu a, ⁎
Publikováno v:
In Results in Engineering December 2024 24