2022, Volume 23, Issue 6
Frontiers of Information Technology & Electronic Engineering >> 2022, Volume 23, Issue 6 doi: 10.1631/FITEE.2100227
New directions for artificial intelligence: human, machine, biological, and quantum intelligence
1.Department of Computer Science, University of Brasilia, Brasilia-DF 70910-900, Brazil;
2.Faculty of Economics, Administration, Accounting and Actuaries, University of Sao Paulo, Sao Paulo 05508-010, Brazil; less
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Abstract
This comment reviews the “once learning” mechanism (OLM) that was proposed byWeigang (1998), the subsequent success of “one-shot learning” in object categories (Li FF et al., 2003), and “you only look once” (YOLO) in objective detection (Redmon et al., 2016). Upon analyzing the current state of research in artificial intelligence (AI), we propose to divide 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 (R&D) within AI, and distinguished by the following classification standards and methods: (1) human-, machine-, biological-, and quantum-oriented AI R&D; (2) information input processed by dimensionality increase or reduction; (3) the use of one/a few or a large number of samples for knowledge learning.
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