Building next-generation AI systems: Co-optimization of algorithms, architectures, and nanoscale memristive devices

Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou

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

Abstract

Computing systems inspired by the architecture of the human brain is poised to revolutionize the engines for information processing and data analytics. However, the efficiency and performance of these platforms pale in comparison with the human brain, especially when benchmarked in terms of metrics such as intelligence per Watt per square mm. In this paper, we review some recent progress and future prospects of building artificial intelligence systems that target the efficiency of the brain, leveraging the unique properties of nanoscale memristive device technologies.

Original languageEnglish (US)
Title of host publication2019 IEEE 11th International Memory Workshop, IMW 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728109817
DOIs
StatePublished - May 2019
Event11th IEEE International Memory Workshop, IMW 2019 - Montterey, United States
Duration: May 12 2019May 15 2019

Publication series

Name2019 IEEE 11th International Memory Workshop, IMW 2019

Conference

Conference11th IEEE International Memory Workshop, IMW 2019
CountryUnited States
CityMontterey
Period5/12/195/15/19

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

Keywords

  • Spiking neural network
  • crossbar array
  • in-memory computing
  • memristive devices
  • on-chip learning

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