Publication:

Neuromorphic Near-Sensor Computing: From Event-Based Sensing to Edge Learning

 
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0001-5768-8633
cris.virtual.orcid0000-0002-3599-8515
cris.virtualsource.department6e3be827-e7c7-4cc8-8185-47665adb77c0
cris.virtualsource.department7a992f6f-feea-493d-b4d8-c297450cff52
cris.virtualsource.orcid6e3be827-e7c7-4cc8-8185-47665adb77c0
cris.virtualsource.orcid7a992f6f-feea-493d-b4d8-c297450cff52
dc.contributor.authorSafa, Ali
dc.contributor.authorVan Assche, Jonah
dc.contributor.authorAlea, Mark Daniel
dc.contributor.authorCatthoor, Francky
dc.contributor.authorGielen, Georges
dc.contributor.imecauthorSafa, Ali
dc.contributor.imecauthorCatthoor, Francky
dc.contributor.imecauthorGielen, Georges
dc.contributor.orcidimecSafa, Ali::0000-0001-5768-8633
dc.contributor.orcidimecCatthoor, Francky::0000-0002-3599-8515
dc.date.accessioned2023-02-23T13:22:29Z
dc.date.available2022-11-17T03:13:05Z
dc.date.available2023-02-23T13:22:29Z
dc.date.embargo2022-11-01
dc.date.issued2022
dc.description.wosFundingTextThe authors would like to thank Yuming He for kindly lending the diagrams in Figure 3, as well as Lars Keuninckx and Ilja Ocket for useful discussions. This research received funding from the Flemish Government under the "Onderzoeksprogramma Artifici_ele Intelligentie (AI) Vlaanderen" program, the INTUITIVE-EU Horizon 2020 project under Grant 861166 and the KUL internal grant "Time is money."
dc.identifier.doi10.1109/MM.2022.3195634
dc.identifier.issn0272-1732
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40753
dc.publisherIEEE COMPUTER SOC
dc.source.beginpage88
dc.source.endpage95
dc.source.issue6
dc.source.journalIEEE MICRO
dc.source.numberofpages8
dc.source.volume42
dc.title

Neuromorphic Near-Sensor Computing: From Event-Based Sensing to Edge Learning

dc.typeJournal article
dspace.entity.typePublication
Files

Original bundle

Name:
MicroSI_2022_02_0016_R1_Safa.pdf
Size:
1.15 MB
Format:
Adobe Portable Document Format
Description:
Accepted version
Publication available in collections: