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      Artificial brains. A million spiking-neuron integrated circuit with a scalable communication network and interface.

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          Abstract

          Inspired by the brain's structure, we have developed an efficient, scalable, and flexible non-von Neumann architecture that leverages contemporary silicon technology. To demonstrate, we built a 5.4-billion-transistor chip with 4096 neurosynaptic cores interconnected via an intrachip network that integrates 1 million programmable spiking neurons and 256 million configurable synapses. Chips can be tiled in two dimensions via an interchip communication interface, seamlessly scaling the architecture to a cortexlike sheet of arbitrary size. The architecture is well suited to many applications that use complex neural networks in real time, for example, multiobject detection and classification. With 400-pixel-by-240-pixel video input at 30 frames per second, the chip consumes 63 milliwatts.

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          Author and article information

          Journal
          Science
          Science (New York, N.Y.)
          American Association for the Advancement of Science (AAAS)
          1095-9203
          0036-8075
          Aug 08 2014
          : 345
          : 6197
          Affiliations
          [1 ] IBM Research-Almaden, 650 Harry Road, San Jose, CA 95120, USA.
          [2 ] IBM Research-Austin, 11501 Burnet Road, Austin, TX 78758, USA.
          [3 ] Cornell University, 358 Upson Hall, Ithaca, NY 14853 USA.
          [4 ] IBM Engineering and Technology Services, San Jose Design Center, 650 Harry Road, San Jose, CA 95120, USA.
          [5 ] IBM Research-Tokyo, Nippon Building Fund Toyosu Canal Front Building, 5-6-52 Toyosu, Koto-ku Tokyo 135-8511, Japan.
          [6 ] IBM T. J. Watson Research Center, 101 Kitchawan Road, Yorktown Heights, NY 10598, USA.
          [7 ] Cornell Tech, 111 Eighth Avenue No. 302, New York, NY 10011, USA.
          [8 ] IBM Research-Almaden, 650 Harry Road, San Jose, CA 95120, USA. dmodha@us.ibm.com.
          Article
          345/6197/668
          10.1126/science.1254642
          25104385
          21631dae-896a-4b7c-a027-d87941588469
          Copyright © 2014, American Association for the Advancement of Science.
          History

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