https://m2.mtmt.hu/ hun 2026-04-30 22:04 BookChapter 33087078 APPROVED true IEEE Control Systems Chapter, Hungary; IEEE Hungary Section; IEEE Joint Chapter of IES and RAS, Hungary; IEEE SMC Chapter, Hungary Conference code: 179566 Export Date: 9 September 2022 0 false 2023-07-07T10:32:31.005+0000 2022-09-11T13:38:46.796+0000 2022-09-09T11:58:52.471+0000 true 10072271 Andódy Katalin /api/admin/10072271 Admin Andódy Katalin (BME admin4 - INAKTÍV) true 2024-02-02T08:36:43.288+0000 false false true 25 25 /api/publicationtype/25 PublicationType Könyvrészlet 2 true 25 BookChapter true 10000312 Conference paper true 25 25 /api/publicationtype/25 PublicationType Könyvrészlet 2 true 25 BookChapter /api/subtype/10000312 Konferenciaközlemény SubType Konferenciaközlemény (Könyvrészlet) 228 true 10000312 true 1 /api/category/1 Category Tudományos true 1 Pomsar, L. 461 466 461 6 2022 In the last several years, there has been a big boom in the field of AI, and particularly in a subset called deep learning. The models used in deep learning are often relatively computationally expensive and problematic to execute in real-time in environments with computational and energetic constraints. In order to do so, specialized hardware, so-called AI Accelerators are often utilized. The term AI Accelerators encompass a wide variety of different devices using different technologies. This work surveys a market and introduces an overview of such accelerators for a network's edge constrained by electrical energy. © 2022 IEEE. 2022 true true true true false false NONE 2023-07-07 false 0 0 0 0 0 0 0 0 0 0 0 0 1 1 false false false false 2022-12-10T14:38:46.458+0000 1 5 0 3 0 true 507 true 10002 English /api/language/10002 Angol Language Angol true 2 false true 10824 true 10028 /api/country/10028 Country Szlovákia true 2144988 /api/city/10824 City Poprad, Szlovákia true 1367111 true 20708495 /api/publicationidentifier/20708495 https://www.worldcat.org/search?q=isbn%3A9781665497046 9781665497046 PublicationIdentifier ISBN: 9781665497046 true 122 ISBN https://www.worldcat.org/search?q=isbn%3A@@@ /api/publicationsource/122 ISBN PlainSource ISBN true true 10002 /api/publicationsourcetype/10002 PublicationSourceType Egyéb true false 122 true false true 20708496 /api/publicationidentifier/20708496 https://www.worldcat.org/search?q=isbn%3A9781665497039 9781665497039 PublicationIdentifier ISBN: 9781665497039 true 122 ISBN https://www.worldcat.org/search?q=isbn%3A@@@ /api/publicationsource/122 ISBN PlainSource ISBN true true 10002 /api/publicationsourcetype/10002 PublicationSourceType Egyéb true false 122 true false /api/publication/32596945 IEEE [szerk.]. IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022): Proceedings. (2022) ISBN:9781665497046; 9781665497039 true true 23 23 /api/publicationtype/23 PublicationType Könyv 3 true 23 Book false true 32596945 true true true true true 10000144 Conference proceedings true 23 23 /api/publicationtype/23 PublicationType Könyv 3 true 23 Book /api/subtype/10000144 Konferenciakötet SubType Konferenciakötet (Könyv) 345 true 10000144 false Book 2022 true 1 /api/category/1 Category Tudományos true 1 false Language 10002 /api/language/10002 Angol Angol English true 2 true PersonAuthorship 103365085 /api/authorship/103365085 Pomsar, L. 1 0.33333334 true false false Pomsar L. true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 103365086 /api/authorship/103365086 Brecko, A. 2 0.33333334 false false false Brecko A. true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 103365087 /api/authorship/103365087 Zolotova, I. 3 0.33333334 false true false Zolotova I. true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PublicationIdentifier 21665619 /api/publicationidentifier/21665619 DOI: 10.1109/SAMI54271.2022.9780669 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI54271.2022.9780669 https://doi.org/10.1109/SAMI54271.2022.9780669 false true PublicationIdentifier 21665618 /api/publicationidentifier/21665618 Scopus: 85132163495 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85132163495 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132163495 false true Keyword 3692 /api/keyword/3692 Learning systems true 3692 true Keyword 1012259 /api/keyword/1012259 Acceleration true 1012259 true Keyword 1013677 /api/keyword/1013677 Electrical energy true 1013677 true Keyword 1427322 /api/keyword/1427322 Deep learning true 1427322 true Keyword 1428249 /api/keyword/1428249 Edge Computing true 1428249 true Keyword 1428249 /api/keyword/1428249 Edge Computing true 1428249 true Keyword 1428249 /api/keyword/1428249 Edge Computing true 1428249 true Keyword 1545147 /api/keyword/1545147 Energy-constrained true true Keyword 1730834 /api/keyword/1730834 Specialized hardware true true Keyword 2352081 /api/keyword/2352081 Real- time true true Keyword 2704259 /api/keyword/2704259 edge AI true true Keyword 2704259 /api/keyword/2704259 edge AI true true Keyword 2738359 /api/keyword/2738359 AI accelerator true true Keyword 2738359 /api/keyword/2738359 AI accelerator true true Keyword 2738360 /api/keyword/2738360 Edge AI accelerator true true Keyword 2738360 /api/keyword/2738360 Edge AI accelerator true true Keyword 2738361 /api/keyword/2738361 Network edges true true Reference 33477455 /api/reference/33477455 1. 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(2022) Megjelent: IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) pp. 461-466<div class="BookChapter Publication long-list"> <div class="authors"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" >Pomsar L. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Brecko A. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Zolotova I. </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;33087078" target="_blank">Brief overview of Edge AI accelerators for energy-constrained edge</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors"> <div class="autype autype-1"> <span class="author-affil">IEEE</span> (szerk.) </div> </div> <div class="booktitle"><a href="/gui2/?mode=browse&params=publication;32596945" target="_blank">IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022) : Proceedings </a></div> <div class="conference"> Konferencia helye, ideje: <span class="location">Poprad, Szlovákia <span class="conference-date">2022.03.02. - 2022.03.05.</span> </div> <span class="publishedAt">Poprad: <span class="publishers">IEEE</span>, <span class="page"> pp 461-466 </span> <span class="year">(2022)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1109/SAMI54271.2022.9780669" target="_blank" href="https://doi.org/10.1109/SAMI54271.2022.9780669"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85132163495" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85132163495"> Scopus </a> </span> </span> <span class="bookchapter-ids">Befoglaló link(ek):</span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9781665497046" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9781665497046"> 9781665497046 </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9781665497039" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9781665497039"> 9781665497039 </a> </span> </span> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;33087078&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 1 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 33087078</span> | <span class="status-data status-APPROVED"> Nyilvános </span> <span class="long-book-mtid">Befoglaló: 32596945</span> Idéző | <span class="type-subtype">Könyvrészlet ( Konferenciaközlemény ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">Scopus</span> </div> <div class="lastModified">Utolsó módosítás: 2022.09.11. 15:38 Andódy Katalin (BME admin4) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: IEEE Control Systems Chapter, Hungary; IEEE Hungary Section; IEEE Joint Chapter of IES and RAS, Hungary; IEEE SMC Chapter, Hungary Conference code: 179566 Export Date: 9 September 2022</pre> </div> </div>