Thesis ID: CBB355588382

Neuro Symbolic Artificial Intelligence Pioneer to Overcome the Limits of Machine Learn (2021)

unapi

Yezhou Yang (Advisor)
Kum Hee Choy (Author)


Yezhou Yang
Arizona State University
Publication date: 2021
Language: English


Publication Date: 2021
Physical Details: 38

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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Authors & Contributors
Asaro, Peter M.
Austin, Andrea
Bowman, Diana M.
Copeland, B. Jack
Dick, Stephanie
Evans, James
Journals
IEEE Technology and Society Magazine
Laboratorio dell'ISPF
IEEE Annals of the History of Computing
Isis: International Review Devoted to the History of Science and Its Cultural Influences
Osiris: A Research Journal Devoted to the History of Science and Its Cultural Influences
Publishers
MIT Press
Princeton University
Columbia University
Duke University
Oxford University Press
Concepts
Artificial intelligence
Technology and society
Human-machine interaction
Machine learning
Computers and computing
Technology and ethics
People
Turing, Alan Mathison
Time Periods
21st century
20th century, late
20th century
19th century
Places
Great Britain
United States
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