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Brain Intelligence: Go beyond Artificial Intelligence

Mobile networks and applications, 2018-04, Vol.23 (2), p.368-375 [Peer Reviewed Journal]

Springer Science+Business Media, LLC 2017 ;Mobile Networks and Applications is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 1383-469X ;EISSN: 1572-8153 ;DOI: 10.1007/s11036-017-0932-8

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  • Title:
    Brain Intelligence: Go beyond Artificial Intelligence
  • Author: Lu, Huimin ; Li, Yujie ; Chen, Min ; Kim, Hyoungseop ; Serikawa, Seiichi
  • Subjects: Artificial intelligence ; Automation ; Brain ; Cognition ; Communications Engineering ; Computer Communication Networks ; Data management ; Developing countries ; Economics ; Electrical Engineering ; Engineering ; Industrial robots ; Information technology ; IT in Business ; LDCs ; Networks ; Social problems
  • Is Part Of: Mobile networks and applications, 2018-04, Vol.23 (2), p.368-375
  • Description: Artificial intelligence (AI) is an important technology that supports daily social life and economic activities. It contributes greatly to the sustainable growth of Japan’s economy and solves various social problems. In recent years, AI has attracted attention as a key for growth in developed countries such as Europe and the United States and developing countries such as China and India. The attention has been focused mainly on developing new artificial intelligence information communication technology (ICT) and robot technology (RT). Although recently developed AI technology certainly excels in extracting certain patterns, there are many limitations. Most ICT models are overly dependent on big data, lack a self-idea function, and are complicated. In this paper, rather than merely developing next-generation artificial intelligence technology, we aim to develop a new concept of general-purpose intelligence cognition technology called “Beyond AI”. Specifically, we plan to develop an intelligent learning model called “Brain Intelligence (BI)” that generates new ideas about events without having experienced them by using artificial life with an imagine function. We will also conduct demonstrations of the developed BI intelligence learning model on automatic driving, precision medical care, and industrial robots.
  • Publisher: New York: Springer US
  • Language: English
  • Identifier: ISSN: 1383-469X
    EISSN: 1572-8153
    DOI: 10.1007/s11036-017-0932-8
  • Source: ProQuest Central
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