Analog-digital hybrid computing with SnS
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
19 May 2022
19 May 2022
Historique:
received:
27
02
2022
accepted:
04
05
2022
entrez:
19
5
2022
pubmed:
20
5
2022
medline:
20
5
2022
Statut:
epublish
Résumé
Algorithms for intelligent drone flights based on sensor fusion are usually implemented using conventional digital computing platforms. However, alternative energy-efficient computing platforms are required for robust flight control in a variety of environments to reduce the burden on both the battery and computing power. In this study, we demonstrated an analog-digital hybrid computing platform based on SnS
Identifiants
pubmed: 35589720
doi: 10.1038/s41467-022-30564-5
pii: 10.1038/s41467-022-30564-5
pmc: PMC9119935
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2804Subventions
Organisme : National Research Foundation of Korea (NRF)
ID : 2019R1A2C1002491
Organisme : National Research Foundation of Korea (NRF)
ID : 2020R1A6A1A03038540
Informations de copyright
© 2022. The Author(s).
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