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The Premature Obituary of Programming: Why deep learning will not replace programming.

The article focuses on why deep learning (DL) will not replace programming. The author examines what he calls "deep programming" (DP) and large transformer language models, explores new machine and network architectures, and discusses integrating search-based program synthesis with DP. He argues tha...

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Published in:Communications of the ACM Vol. 66; no. 2; pp. 41 - 45
Main Author: Yellin, Daniel M.
Format: Article
Published: Association for Computing Machinery Feb2023
Subjects:
Deep learning
Machine learning
Computer programming
Computer programmers
Artificial neural networks
Language models
Computer software
Electronic information resource searching
Online Access:View this record in EBSCOhost
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        au: Yellin, Daniel M.
        affil: Vice President, IBM Cloud, and IBM Distinguished Engineer at IBM in Armonk, NY, USA
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        Deep learning
        Machine learning
        Computer programming
        Computer programmers
        Artificial neural networks
        Language models
        Computer software
        Electronic information resource searching
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          Deep learning
          Machine learning
          Computer programming
          Computer programmers
          Artificial neural networks
          Language models
          Computer software
          Electronic information resource searching
      ab: The article focuses on why deep learning (DL) will not replace programming. The author examines what he calls "deep programming" (DP) and large transformer language models, explores new machine and network architectures, and discusses integrating search-based program synthesis with DP. He argues that computers will not replace coding by humans.
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    language: English
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