Selected article for: "artificial intelligence and image classification"

Author: Weigang, Li; Enamoto, Liriam; Li, Denise Leyi; Filho, Geraldo Pereira Rocha
Title: Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence
  • Cord-id: l1kp0ftt
  • Document date: 2021_4_27
  • ID: l1kp0ftt
    Snippet: 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
    Document: 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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