Ikechukwu, Ogbodo Mark and Dang, Nam Khanh and Abdallah, Abderazek Ben (2021) Energy-efficient Spike-based Scalable Architecture for Next-generation Cognitive AI Computing Systems. In: International Symposium on Ubiquitous Networking 2021. (In Press)
This is the latest version of this item.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Electronics and Communications > Electronics and Computer Engineering Information Technology (IT) ISI/Scopus indexed conference |
| Divisions: | Key Laboratory for Smart Integrated Systems (SISLAB) |
| Depositing User: | Khanh N. Dang |
| Date Deposited: | 31 Oct 2021 00:42 |
| Last Modified: | 31 Oct 2021 00:42 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/4618 |
Available Versions of this Item
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Energy-efficient Spike-based Scalable Architecture for Next-generation Cognitive AI Computing Systems. (deposited 18 Jun 2021 11:06)
- Energy-efficient Spike-based Scalable Architecture for Next-generation Cognitive AI Computing Systems. (deposited 31 Oct 2021 00:42) [Currently Displayed]
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