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.
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.
R
Once Learning
"Once learning"
A
"
R
Learning
learning"
A
"
R
Once-YOLO
Once - YOLO"
R
AI
Artificial Intelligence (AI)
D
AI R
R
D should be human-oriented
Human-oriented
A
AI R
A
D
R
The information input is
Information input
R
dimensionality-reduction; and
Dimensionality-reduction;
R
One
The use of one
R
Few
few
D
are used