• DocumentCode
    288559
  • Title

    Analog VLSI hardware: what is missing for industrial realisations?

  • Author

    Arreguit, X. ; Vittoz, E.A.

  • Author_Institution
    CSEM SA, Neuchatel, Switzerland
  • Volume
    3
  • fYear
    1994
  • fDate
    27 Jun-2 Jul 1994
  • Firstpage
    1883
  • Abstract
    Although several papers have shown the potential of analog VLSI to build artificial neural networks or perceptive systems inspired from biology that are orders of magnitude more effective to solve specific problems than previous solutions, it seems that industrial realisations are not emerging as fast. This presentation addresses some open questions and issues that still need to be answered in order to meet the requirements for successful industrial realisations and reviews some efficient solutions in terms of area and power consumption
  • Keywords
    analogue processing circuits; neural chips; analog VLSI hardware; artificial neural networks; industrial realisations; perceptive systems; Analog circuits; Analog computers; Circuit testing; Energy consumption; Hardware; Optical sensors; Silicon; System testing; Systems biology; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1901-X
  • Type

    conf

  • DOI
    10.1109/ICNN.1994.374445
  • Filename
    374445