Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Nassim Abderrahmane"'
Publikováno v:
ACM Transactions on Embedded Computing Systems. 21:1-26
Spiking neural networks are expected to bring high resources, power, and energy efficiency to machine learning hardware implementations. In this regard, they could facilitate the integration of Artificial Intelligence in highly constrained embedded s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c58e912ff5a928436738dc28aa3025b6
https://doi.org/10.1145/3520133
https://doi.org/10.1145/3520133
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ad1366278140e2db565c4f400277a36
https://doi.org/10.1109/ijcnn55064.2022.9892277
https://doi.org/10.1109/ijcnn55064.2022.9892277
Publikováno v:
Neural Networks
Neural Networks, Elsevier, 2020, 121, pp.366-386. ⟨10.1016/j.neunet.2019.09.024⟩
Neural Networks, Elsevier, 2020, 121, pp.366-386. ⟨10.1016/j.neunet.2019.09.024⟩
International audience; Machine learning is yielding unprecedented interest in research and industry, due to recent success in many applied contexts such as image classification and object recognition. However, the deployment of these systems require
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::196bec2079bb92057cd81ae9d2ef1da0
https://doi.org/10.1016/j.neunet.2019.09.024
https://doi.org/10.1016/j.neunet.2019.09.024
Publikováno v:
Journal of Systems Architecture. 133:102765
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4196ce16f30e06e9cd9ef9737650bb2
https://doi.org/10.1016/j.sysarc.2022.102765
https://doi.org/10.1016/j.sysarc.2022.102765
Autor:
Frédéric Férésin, Erwann Kervennic, Yves Bobichon, Edgar Lemaire, Nassim Abderrahmane, Gaétan Bahl, Ingrid Grenet, Matthieu Moretti, Michael Benguigui
During the OBPDC-2020 conference held last year, we presented the publication “Onboard image processing using AI to reduce data transmission: example of OPS-SAT cloud segmentation”. In this paper, we explained how we implemented three Artificial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6063ea5fd500f4e9020b25487333f59a
Autor:
Benoit Miramond, Nassim Abderrahmane
Publikováno v:
IEEE World Congress on Computational Intelligence (WCCI) 2020
IEEE World Congress on Computational Intelligence (WCCI) 2020, Jul 2020, Glasgow, United Kingdom. pp.8, ⟨10.1109/IJCNN48605.2020.9207702⟩
IJCNN
IEEE World Congress on Computational Intelligence (WCCI) 2020, Jul 2020, Glasgow, United Kingdom. pp.8
HAL
IEEE World Congress on Computational Intelligence (WCCI) 2020, Jul 2020, Glasgow, United Kingdom. pp.8, ⟨10.1109/IJCNN48605.2020.9207702⟩
IJCNN
IEEE World Congress on Computational Intelligence (WCCI) 2020, Jul 2020, Glasgow, United Kingdom. pp.8
HAL
International audience; Recent literature considers that Spiking Neural Networks are now a serious alternative of Formal Neural Networksfor embedded artificial intelligence. The changes in the information coding and the elementary neural computation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2edc2dd5f3dce10538f8e883c0173aad
https://hal.archives-ouvertes.fr/hal-02515109
https://hal.archives-ouvertes.fr/hal-02515109
Autor:
Nassim Abderrahmane, Benoit Miramond
Publikováno v:
DSD
Euromicro DSD/SEAA 2019
Euromicro DSD/SEAA 2019, Aug 2019, Kallithea,Chalkidiki, Greece. pp.291-298, ⟨10.1109/DSD.2019.00050⟩
Euromicro DSD/SEAA 2019
Euromicro DSD/SEAA 2019, Aug 2019, Kallithea,Chalkidiki, Greece. pp.291-298, ⟨10.1109/DSD.2019.00050⟩
International audience; Inspired from the brain, neuromorphic computing would be the right alternative to traditional Von-Neumann architecture computing that knows its end of growth as predicted by Moore’s law. In this paper, we explore bio-inspire
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::654829e9a5754ae06097a352a6a56c33
https://doi.org/10.1109/dsd.2019.00050
https://doi.org/10.1109/dsd.2019.00050
Publikováno v:
IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE
IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, Jul 2018, Rio de Janeiro, Brazil. pp.1-8, ⟨10.1109/IJCNN.2018.8489241⟩
BASE-Bielefeld Academic Search Engine
Proceedings of the International Joint Conference on Neural Networks
IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, Jul 2018, Rio de Janeiro, Brazil. ⟨10.1109/IJCNN.2018.8489241⟩
IJCNN
IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, Jul 2018, Rio de Janeiro, Brazil. pp.1-8, ⟨10.1109/IJCNN.2018.8489241⟩
BASE-Bielefeld Academic Search Engine
Proceedings of the International Joint Conference on Neural Networks
IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, Jul 2018, Rio de Janeiro, Brazil. ⟨10.1109/IJCNN.2018.8489241⟩
IJCNN
International audience; Artificial neural networks are experiencing today an unprecedented interest thanks to two main changes: the explosion of open data that is necessary for their training, and the increasing computing power of today's computers t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::664301b18166ee8f22fd0115d11a73a1
http://www.scopus.com/inward/record.url?eid=2-s2.0-85056512810&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85056512810&partnerID=MN8TOARS