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Supporting Green Neuromorphic Computing: Machine Learning Guided Microfabrication for Resistive Random Access Memory

  • Abdi Yamil Vicenciodelmoral
  • , Md Mehedi Hasan Tanim
  • , Feng Zhao
  • , Xinghui Zhao
  • Washington State University Vancouver

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE/ACM 9th International Conference on Big Data Computing, Applications and Technologies, BDCAT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages154-157
Number of pages4
ISBN (Electronic)9781665460903
DOIs
StatePublished - 2022
Externally publishedYes
Event9th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2022 - Vancouver, United States
Duration: Dec 6 2022Dec 9 2022

Publication series

NameProceedings - 2022 IEEE/ACM 9th International Conference on Big Data Computing, Applications and Technologies, BDCAT 2022

Conference

Conference9th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2022
Country/TerritoryUnited States
CityVancouver
Period12/6/2212/9/22

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

Keywords

  • Big Data
  • Machine Learning
  • Microfabrication
  • Neuromorphic Computing
  • Resistive Random Access Memory

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