Zobrazeno 1 - 10
of 259
pro vyhledávání: '"Skavhaug, Amund"'
Publikováno v:
In Computers and Electronics in Agriculture April 2016 123:142-148
Publikováno v:
In Energy Procedia 2015 80:177-184
Autor:
Zhu, Zeqi, Pourtaherian, Arash, Waeijen, Luc, Bamberg, Lennart, Bondarev, Egor, Moreira, Orlando, Fabelo, Himar, Ortega, Samuel, Skavhaug, Amund
Publikováno v:
Proceedings-2022 25th Euromicro Conference on Digital System Design, DSD 2022, 415-422
STARTPAGE=415;ENDPAGE=422;TITLE=Proceedings-2022 25th Euromicro Conference on Digital System Design, DSD 2022
STARTPAGE=415;ENDPAGE=422;TITLE=Proceedings-2022 25th Euromicro Conference on Digital System Design, DSD 2022
Brain-inspired event-based processors have attracted considerable attention for edge deployment because of their ability to efficiently process Convolutional Neural Networks (CNNs) by exploiting sparsity. On such processors, one critical feature is t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9d65184c93060c6f999f303da2cd8dd
https://research.tue.nl/nl/publications/13a9913d-d4cf-43bd-827d-46ae005e2853
https://research.tue.nl/nl/publications/13a9913d-d4cf-43bd-827d-46ae005e2853
Publikováno v:
2022 25th Euromicro Conference on Digital System Design (DSD), 373-382
STARTPAGE=373;ENDPAGE=382;TITLE=2022 25th Euromicro Conference on Digital System Design (DSD)
STARTPAGE=373;ENDPAGE=382;TITLE=2022 25th Euromicro Conference on Digital System Design (DSD)
Machine learning, and specifically Deep Neural Networks (DNNs) impact all parts of daily life. Although DNNs can be large and compute intensive, requiring processing on big servers (like in the cloud), we see a move of DNNs into loT-edge based system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::864a495ab4c2687f48bc9ac7905cb759
https://research.tue.nl/nl/publications/7d0d91e9-4dd9-483b-8a18-47216d6c0586
https://research.tue.nl/nl/publications/7d0d91e9-4dd9-483b-8a18-47216d6c0586
Publikováno v:
In Energy Procedia 2014 53:239-247