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With the recent boom in artificial intelligence, various learning methods and information are pouring out. However, there are many abbreviations and jargons to read without knowing the history and development trend of artificial intelligence, which is a barrier to entry.

With the recent boom in artificial intelligence, various learning methods and information are pouring out. However, there are many abbreviations and jargons to read without knowing the history and development trend of artificial intelligence, which is a barrier to entry. This study predicts the future development direction by synthesizing the concept of Neuro symbolic AI, which is a new direction of artificial intelligence, the history of artificial intelligence from which such concept came out, and applied studies, and by synthesizing and summarizing the limitations of the current research projects. It is a guide for those who want to study neural symbols. In this paper, it describes the history of artificial intelligence and the historical background of the emergence of neural symbols. In the development trend, the challenges faced by the neural symbolic, measures to overcome, and the Neuro Symbolic A.I. applied in various fields are described. (Knowledge based Question Answering, VQA(Visual Question Answering), image retrieve, etc.). It predicts the future development direction of neuro symbolic artificial intelligence based on the contents obtained through previous studies.
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    Title
    • Neuro Symbolic Artificial Intelligence Pioneer to Overcome the Limits of Machine Learn
    Contributors
    Date Created
    2021
    Resource Type
  • Text
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    Note
    • Partial requirement for: M.S., Arizona State University, 2021
    • Field of study: Computer Science

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