Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence

• URL: http://arxiv.org/abs/2104.13155v1
• Date: Tue, 27 Apr 2021 13:03:25 GMT
• Title: Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence
• Authors: Li Weigang, Liriam Enamoto, Denise Leyi Li, Geraldo Pereira Rocha Filho
• Abstract summary: This article reviews the Once Learning mechanism that was proposed 23 years ago and the subsequent successes of One-shot Learning in image classification and You Only Look Once-YOLO in objective detection. The proposal is that AI should be clearly divided into the following categories: Artificial Human Intelligence (AHI), Artificial Machine Intelligence (AMI), and Artificial Biological Intelligence (ABI)
• Score: 0.2580765958706853
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This article reviews the Once Learning mechanism that was proposed 23 years ago and the subsequent successes of One-shot Learning in image classification and You Only Look Once-YOLO in objective detection. Analyzing the current development of AI, the proposal is that AI should be clearly divided into the following categories: Artificial Human Intelligence (AHI), Artificial Machine Intelligence (AMI), and Artificial Biological Intelligence (ABI), which will also be the main directions of theory and application development for AI. As a watershed for the branches of AI, some classification standards and methods are discussed: 1) AI R&D should be human-oriented, machine-oriented, and biological-oriented; 2) The information input is processed by Dimensionality-up or dimensionality-reduction; and 3) One/Few or large samples are used for knowledge learning.

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