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On-line Access: 2022-06-17
Received: 2021-05-04
Revision Accepted: 2022-07-05
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https://orcid.org/0000-0003-1826-1850
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Li WEIGANG, Liriam Michi ENAMOTO, Denise Leyi LI, Geraldo Pereira ROCHA FILHO. New directions for artificial intelligence: human, machine, biological, and quantum intelligence[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.2100227 @article{title="New directions for artificial intelligence: human, machine, biological, and quantum intelligence", %0 Journal Article TY - JOUR
人工智能新方向:类人、机器、仿生和量子智能1巴西利亚大学计算机科学系,巴西巴西利亚市,70910-900 2圣保罗大学经济、管理、会计和审计学院,巴西圣保罗市,05508-010 摘要:本评论回顾1998年提出的"一次性学习"(once learning,OLM)机制,和随后出现的用于图像分类的"一瞥学习"(one-shot learning)以及用于目标检测的"你仅看一次"(you only look once,YOLO)。基于目前人工智能(AI)研究现状,提出将其划分为以下子学科:人工类人智能、人工机器智能、人工仿生智能和人工量子智能。这些被认为是AI研发的主要方向,并按以下分类标准区分:(1)以类人、机器、仿生或量子计算为本的AI研发;(2)升维或降维的信息输入;(3)小样本或大数据知识学习。 关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
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