The next generation of neural network chips

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There have been many national and international neural networks research initiatives: USA (DARPA, NIBS), Canada (IRIS), Japan (HFSP) and Europe (BRAIN, GALA TEA, NERVES, ELENE NERVES 2) -- just to mention a few. Recent developments in the field of neural networks, cognitive science, bioengineering and electrical engineering have made it possible to understand more about the functioning of large ensembles of identical processing elements. There are more research papers than ever proposing solutions and hardware implementations are by no means an exception. Two fields (computing and neuroscience) are interacting in ways nobody could imagine just several years ago, and -- ... continued below

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16 p.

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Beiu, V. August 1, 1997.

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There have been many national and international neural networks research initiatives: USA (DARPA, NIBS), Canada (IRIS), Japan (HFSP) and Europe (BRAIN, GALA TEA, NERVES, ELENE NERVES 2) -- just to mention a few. Recent developments in the field of neural networks, cognitive science, bioengineering and electrical engineering have made it possible to understand more about the functioning of large ensembles of identical processing elements. There are more research papers than ever proposing solutions and hardware implementations are by no means an exception. Two fields (computing and neuroscience) are interacting in ways nobody could imagine just several years ago, and -- with the advent of new technologies -- researchers are focusing on trying to copy the Brain. Such an exciting confluence may quite shortly lead to revolutionary new computers and it is the aim of this invited session to bring to light some of the challenging research aspects dealing with the hardware realizability of future intelligent chips. Present-day (conventional) technology is (still) mostly digital and, thus, occupies wider areas and consumes much more power than the solutions envisaged. The innovative algorithmic and architectural ideals should represent important breakthroughs, paving the way towards making neural network chips available to the industry at competitive prices, in relatively small packages and consuming a fraction of the power required by equivalent digital solutions.

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16 p.

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OSTI as DE97008148

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  • EIS `97: international symposium on engineering of intelligent systems, Tenerife (Spain), 11-13 Feb 1998

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  • Other: DE97008148
  • Report No.: LA-UR--97-1917
  • Report No.: CONF-980216--
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 658317
  • Archival Resource Key: ark:/67531/metadc711731

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  • August 1, 1997

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  • Sept. 12, 2015, 6:31 a.m.

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  • May 5, 2016, 7:38 p.m.

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Beiu, V. The next generation of neural network chips, article, August 1, 1997; New Mexico. (digital.library.unt.edu/ark:/67531/metadc711731/: accessed August 19, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.