Flexible embedded AI system with high-speed neuromorphic controller

Young Hyun Yoon, Su Yeon Jang, Do Young Choi, Seung Eun Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In this paper, we propose a flexible embedded artificial intelligence (AI) system with high-speed neuromorphic controller. With the designed neuromorphic controller, the system receives data in high-speed and makes the neuro-processors to process the received data in parallel, efficiently. Also, the embedded system operates with the variable number of the neuro-processors that are available to apply in the various embedded systems. The neuromorphic controller was demonstrated with the field programmable gate array (FPGA) and we verified the feasibility of the entire system with the proposed controller.

Original languageEnglish
Title of host publicationProceedings - 2019 International SoC Design Conference, ISOCC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages265-266
Number of pages2
ISBN (Electronic)9781728124780
DOIs
StatePublished - Oct 2019
Event16th International System-on-Chip Design Conference, ISOCC 2019 - Jeju, Korea, Republic of
Duration: 6 Oct 20199 Oct 2019

Publication series

NameProceedings - 2019 International SoC Design Conference, ISOCC 2019
Volume2019-January

Conference

Conference16th International System-on-Chip Design Conference, ISOCC 2019
Country/TerritoryKorea, Republic of
CityJeju
Period6/10/199/10/19

Keywords

  • Artificial intelligence
  • Embedded system
  • Multiple neuromorphic processor
  • Parallel processing

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