Memristors for Neuromorphic Circuits and Artificial Intelligence Applications (Record no. 6380)

MARC details
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003 - CONTROL NUMBER IDENTIFIER
control field BUT
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230406121836.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 20210211s2020 xx |||||o ||| eng|| d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783039285761
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783039285778
040 ## - CATALOGING SOURCE
Original cataloging agency oapen
Transcribing agency oapen
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
080 ## - UNIVERSAL DECIMAL CLASSIFICATION NUMBER
Universal Decimal Classification number 004.8
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Suñé, Jordi
Relationship auth
245 10 - TITLE STATEMENT
Title Memristors for Neuromorphic Circuits and Artificial Intelligence Applications
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. MDPI - Multidisciplinary Digital Publishing Institute
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (244 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. Artificial Intelligence (AI) has found many applications in the past decade due to the ever increasing computing power. Artificial Neural Networks are inspired in the brain structure and consist in the interconnection of artificial neurons through artificial synapses. Training these systems requires huge amounts of data and, after the network is trained, it can recognize unforeseen data and provide useful information. The so-called Spiking Neural Networks behave similarly to how the brain functions and are very energy efficient. Up to this moment, both spiking and conventional neural networks have been implemented in software programs running on conventional computing units. However, this approach requires high computing power, a large physical space and is energy inefficient. Thus, there is an increasing interest in developing AI tools directly implemented in hardware. The first hardware demonstrations have been based on CMOS circuits for neurons and specific communication protocols for synapses. However, to further increase training speed and energy efficiency while decreasing system size, the combination of CMOS neurons with memristor synapses is being explored. The memristor is a resistor with memory which behaves similarly to biological synapses. This book explores the state-of-the-art of neuromorphic circuits implementing neural networks with memristors for AI applications.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by-nc-nd/4.0/
Source of term cc
546 ## - LANGUAGE NOTE
Language note English
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9 (RLIN) 4518
Topical term or geographic name entry element Искусственный интеллект
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Uncontrolled term graphene oxide
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Uncontrolled term synaptic plasticity
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://mdpi.com/books/pdfview/book/2171">https://mdpi.com/books/pdfview/book/2171</a>
Access status 0
Public note Download
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/53144">https://directory.doabooks.org/handle/20.500.12854/53144</a>
Access status 0
Public note Description
909 ## - Составили записи
-- 4
-- Darya Shvetsova
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Универсальная десятичная классификация
Koha item type Electronic edition
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type Public note
    Универсальная десятичная классификация     Computers Bucheon University Library Bucheon University Library MDPI books 06.04.2023   004.8 M54 1010683 06.04.2023 06.04.2023 Electronic edition View (pdf)