Rebooting Computers as Learning Machines

DeBenedictis, Erik P.

doi:10.1109/mc.2016.156

Title: Rebooting Computers as Learning Machines

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Abstract

Artificial neural networks could become the technological driver that replaces Moore's law, boosting computers' utlity through a process akin to automatic programming--although physics and computer architecture would are also a factor.

Authors:

DeBenedictis, Erik P. ^[1]

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Publication Date:: 2016-06-13

Research Org.:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org.:: USDOE National Nuclear Security Administration (NNSA)

OSTI Identifier:: 1411876

Report Number(s):: SAND2017-8677J
Journal ID: ISSN 0018-9162; 656722

Grant/Contract Number:: AC04-94AL85000

Resource Type:: Accepted Manuscript

Journal Name:: Computer

Additional Journal Information:: Journal Volume: 49; Journal Issue: 6; Journal ID: ISSN 0018-9162

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING

Citation Formats


                    DeBenedictis, Erik P. Rebooting Computers as Learning Machines.  United States: N. p., 2016. 
Web.  doi:10.1109/mc.2016.156.

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                    DeBenedictis, Erik P. Rebooting Computers as Learning Machines.  United States.  https://doi.org/10.1109/mc.2016.156

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                    DeBenedictis, Erik P. Mon .  
"Rebooting Computers as Learning Machines".  United States.  https://doi.org/10.1109/mc.2016.156.  https://www.osti.gov/servlets/purl/1411876.

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@article{osti_1411876,

  title        = {Rebooting Computers as Learning Machines},

  author       = {DeBenedictis, Erik P.},

  abstractNote = {Artificial neural networks could become the technological driver that replaces Moore's law, boosting computers' utlity through a process akin to automatic programming--although physics and computer architecture would are also a factor.},

  doi          = {10.1109/mc.2016.156},

  journal      = {Computer},

  number       = 6,

  volume       = 49,

  place        = {United States},

  year         = {2016},

  month        = {6}

}

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