arrow
Return

Cognitive Computing: Architecture,Technologies and Intelligent Applications

delete2018-01-01
delete145
delete
OA
AI
陈敏 (Min Chen) *
F
Francisco Herrera
K
Kai Hwang
DOI:10.1109/ACCESS.2018.2791469delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
With the development of network-enabled sensors and artificial intelligence algorithms, various human-centered smart systems are proposed to provide services with higher quality, such as smart healthcare, affective interaction, and autonomous driving. Considering cognitive computing is an indispensable technology to develop these smart systems, this paper proposes human-centered computing assisted by cognitive computing and cloud computing. First, we provide a comprehensive investigation of cognitive computing, including its evolution from knowledge discovery, cognitive science, and big data. Then, the system architecture of cognitive computing is proposed, which consists of three critical technologies, i.e., networking (e.g., Internet of Things), analytics (e.g., reinforcement learning and deep learning), and cloud computing. Finally, it describes the representative applications of human-centered cognitive computing, including robot technology, emotional communication system, and medical cognitive system.
Keywords:
Cognitive computing
big data analysis
Internet of Things
cloud computing
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Access cover
IEEE Access
IF:
3.6
Papers:
9.8W
Citations:
29.4W

Organization

U
university of southern california
Scholars:
4.6W
Papers: 3.8W
Citations: 51
U
University of Granada
Scholars:
2.3W
Papers: 1.9W
Citations: 24