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.

翻译：本条回顾了23年前提出的“一次学习”机制,以及随后在图像分类和客观检测方面“你只看一次-YOLO”的“一次性学习”和“你只看一次-YOLO”的成功。在分析目前人造情报(AI)的发展情况时,建议AI应明确分为以下几类:人工人类情报(AHI)、人工机器情报(AMI)和人工生物情报(ABI),后者也是AI理论和应用发展的主要方向。作为AI分支的一个分水岭,讨论了一些分类标准和方法:(1) 面向人类、机器导向和生物导向的AIR&D;(2) 由尺寸提高或尺寸降低处理的信息投入;(3) 利用一个/一个/一个或一个或大样本进行知识学习。