<div class="csl-bib-body">
<div class="csl-entry">Marchisio, A., & Shafique, M. (2023). Embedded Neuromorphic Using Intel’s Loihi Processor. In S. Pasricha & M. Shafique (Eds.), <i>Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing : Use Cases and Emerging Challenges</i> (pp. 137–172). Springer. https://doi.org/10.1007/978-3-031-39932-9_6</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/191927
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dc.description.abstract
Recently, spiking neural networks (SNNs) have demonstrated great success due to their high-performance and low-energy consumption, which makes them suitable for being implemented on embedded devices, such as neuromorphic chips. This chapter presents an overview of event-based SNNs on neuromorphic hardware and their applications. It provides outlooks on the neuromorphic computing platforms, with a special focus on the Intel Loihi research chip. Afterward, a case study on a “car vs. background” classifier implemented on Loihi is discussed in detail.
en
dc.language.iso
en
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dc.subject
spiking neural networks
en
dc.subject
neuromorphic architecture
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dc.subject
loihi
en
dc.subject
event-based vision
en
dc.title
Embedded Neuromorphic Using Intel’s Loihi Processor
en
dc.type
Book Contribution
en
dc.type
Buchbeitrag
de
dc.contributor.affiliation
New York University Abu Dhabi, United Arab Emirates (the)
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dc.relation.isbn
978-3-031-39932-9
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dc.description.startpage
137
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dc.description.endpage
172
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dc.type.category
Edited Volume Contribution
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tuw.booktitle
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing : Use Cases and Emerging Challenges
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tuw.relation.publisher
Springer
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tuw.relation.publisherplace
Cham
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tuw.researchTopic.id
I2
-
tuw.researchTopic.name
Computer Engineering and Software-Intensive Systems
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E191-02 - Forschungsbereich Embedded Computing Systems
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tuw.publisher.doi
10.1007/978-3-031-39932-9_6
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dc.description.numberOfPages
36
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tuw.author.orcid
0000-0002-0689-4776
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.value
100
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item.languageiso639-1
en
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item.openairetype
book part
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item.grantfulltext
restricted
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_3248
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crisitem.author.dept
E191-02 - Forschungsbereich Embedded Computing Systems
-
crisitem.author.dept
E191-02 - Forschungsbereich Embedded Computing Systems
