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    "https://arxiv.org/abs/2104.13155",
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  "dcterms:title": [
    "Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence"
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    "Li Weigang",
    "Liriam Enamoto",
    "Denise Leyi Li",
    "Geraldo Pereira Rocha Filho"
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    "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 Artificial Intelligence (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) Human-oriented, machine-oriented, and biological-oriented AI R&D; 2) Information input processed by Dimensionality-up or Dimensionality-reduction; 3) The use of one/few or large samples for knowledge learning."
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  "dcterms:subject": [
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  "dcterms:language": [
    "en"
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  "dcterms:issued": [
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