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Journal of Zhejiang University SCIENCE C 1998 Vol.-1 No.-1 P.

http://doi.org/10.1631/FITEE.2100227


New directions for artificial intelligence: human,machine, biological, and quantum intelligence


Author(s):  Li WEIGANG, Liriam Michi ENAMOTO, Denise Leyi LI, Geraldo Pereira ROCHA FILHO

Affiliation(s):  Department of Computer Science, University of Brasilia, Brasilia - DF, Brazil; more

Corresponding email(s):   weigang@unb.br, liriam.enamoto@gmail.com, denise.leyi@gmail.com, geraldof@unb.br

Key Words:  Artificial Intelligence, Machine learning, Once learning, One-shot learning, Quantum computing


Li WEIGANG, Liriam Michi ENAMOTO, Denise Leyi LI, Geraldo Pereira ROCHA FILHO. New directions for artificial intelligence: human,machine, biological, and quantum intelligence[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .

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publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2100227"
}

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Abstract: 
This comment reviews the “once learning” mechanism that was proposed in 1998, the subsequent successes of “one-shot learning” in object categories and “You Only Look Once – YOLO” in objective detection. Upon analyzing the current state of research in artificial Intelligence (AI), we propose dividing AI into the following basic theory categories: Artificial Human Intelligence (AHI), Artificial Machine Intelligence (AMI), Artificial Biological Intelligence (ABI), and Artificial Quantum Intelligence (AQI). These can also be considered as the main directions of research and development within AI and are distinguished by the following classification standards and methods: 1) Human-oriented, machine-oriented, biological-oriented and quantum-oriented AI R&D; 2) Information input processed by Dimensionality-increase or Dimensionality-reduction; 3) The use of one/few or large samples for knowledge learning, and others.

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