Thinking Machine

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Bibliographic Details
Title: Thinking Machine
Description: This book delves into the ultimate goal and peak direction of artificial intelligence, reflecting the author's foresight and courage. This book's content differs from general monographs. Instead of merely delving deeply into one or a few critical technical fields, it encompasses the entire process of thinking machines and elucidates key viewpoints, theories, and technologies with examples. This book serves as an invaluable resource for computer science students, offering insights into the knowledge and challenges inherent in designing, developing, and maintaining complex algorithms. It also paves the way for the creation of super large-scale interpretable machine intelligence systems in the field of natural language understanding, which is different from large language models. It provides students with diverse potential directions for their future research.
Authors: Ping Zhu
Resource Type: eBook.
Subjects: Artificial intelligence--Data processing, Machine learning
Categories: COMPUTERS / Artificial Intelligence / Natural Language Processing
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 4076369
RelevancyScore: 1123
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1122.83581542969
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  Data: Thinking Machine
– Name: Abstract
  Label: Description
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  Data: This book delves into the ultimate goal and peak direction of artificial intelligence, reflecting the author's foresight and courage. This book's content differs from general monographs. Instead of merely delving deeply into one or a few critical technical fields, it encompasses the entire process of thinking machines and elucidates key viewpoints, theories, and technologies with examples. This book serves as an invaluable resource for computer science students, offering insights into the knowledge and challenges inherent in designing, developing, and maintaining complex algorithms. It also paves the way for the creation of super large-scale interpretable machine intelligence systems in the field of natural language understanding, which is different from large language models. It provides students with diverse potential directions for their future research.
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  Data: <searchLink fieldCode="AR" term="%22Ping+Zhu%22">Ping Zhu</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Artificial intelligence--Data processing
        Type: general
      – SubjectFull: Machine learning
        Type: general
    Titles:
      – TitleFull: Thinking Machine
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Ping Zhu
      – PersonEntity:
          Name:
            NameFull: Ping Zhu
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2024
            – D: 12
              M: 12
              Type: profile
              Y: 2025
          Identifiers:
            – Type: isbn-print
              Value: 9798895302033
            – Type: isbn-electronic
              Value: 9798895302743
          Titles:
            – TitleFull: Thinking Machine
              Type: main
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