• DocumentCode
    1480442
  • Title

    CNN universal chips crank up the computing power

  • Author

    Chua, L.O. ; Roska, T. ; Kozek, T. ; Zarándy, A.

  • Author_Institution
    Electron. Res. Lab., California Univ., Berkeley, CA, USA
  • Volume
    12
  • Issue
    4
  • fYear
    1996
  • fDate
    7/1/1996 12:00:00 AM
  • Firstpage
    18
  • Lastpage
    28
  • Abstract
    New cellular neural network chips, with stored-program capability and analog-and-logic architecture, are poised to challenge all-digital processing. In this article, we highlight the key ideas leading to the CNN Universal Machine, using simple circuit interpretations. We also illustrate the system, software, and application aspects
  • Keywords
    cellular neural nets; neural chips; CNN universal machine; analog-and-logic architecture; cellular neural network chip; computing power; stored-program capability; CMOS logic circuits; Cellular neural networks; Integrated circuit interconnections; Karhunen-Loeve transforms; Logic arrays; Logic design; Microprocessors; Semiconductor device modeling; Solid modeling; Voltage control;
  • fLanguage
    English
  • Journal_Title
    Circuits and Devices Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    8755-3996
  • Type

    jour

  • DOI
    10.1109/101.526876
  • Filename
    526876
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1480442