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This short monograph looks at artificial intelligence (AI) from a point of view that may be different to the current ones that exploit the computational power of current computers to analyze “big data” using many layers in a neural network in which nodes within receive and capture localized data from their input layer(s) and deliver these to their output layer(s).

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A Theoretical Introduction

  • 章节

  • 发表日期：

    2025年

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  • Paolo Massimo Buscema,
  • Weldon A. Lodwick,
  • Giulia Massini,
  • Pier Luigi Sacco,
  • Masoud Asadi-Zeydabadi,
  • Francis Newman,
  • Riccardo Petritoli,
  • Marco Breda

摘要

This short monograph looks at artificial intelligence (AI) from a point of view that may be different to the current ones that exploit the computational power of current computers to analyze “big data” using many layers in a neural network in which nodes within receive and capture localized data from their input layer(s) and deliver these to their output layer(s).