eprintid: 4457
rev_number: 9
eprint_status: archive
userid: 375
dir: disk0/00/00/44/57
datestamp: 2021-06-18 11:06:19
lastmod: 2021-06-18 11:06:19
status_changed: 2021-06-18 11:06:19
type: conference_item
metadata_visibility: no_search
creators_name: Ikechukwu, Ogbodo Mark
creators_name: Dang, Nam Khanh
creators_name: Abdallah, Abderazek Ben
creators_id: dnk0904@gmail.com
creators_id: benab@u-aizu.ac.jp
title: Energy-efficient Spike-based Scalable Architecture for Next-generation Cognitive AI Computing Systems
ispublished: inpress
subjects: ElectronicsandComputerEngineering
subjects: IT
subjects: isi_scopus_conf
date: 2021
full_text_status: none
pres_type: paper
event_title: International Symposium on Ubiquitous Networking 2021
event_type: conference
refereed: TRUE
citation:   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)