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China Aerospace Academy of Systems Science and Engineering

ISSN 1671-0940

CN 11-4673/V

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AEROSPACE CHINA ›› 2021, Vol. 22 ›› Issue (1): 12-19.doi: 10.3969/j.issn.1671-0940.2021.01.002

• ARTIFICIAL INTELLIGENCE + AEROSPACE • Previous Articles     Next Articles

Brain-Inspired Artificial Intelligence: Advances and Applications

  

  1. 1 School of Artificial Intelligence, Beijing Normal University, Beijing 100875
    2 Administration for Research and Development, Beijing Normal University, Beijing 100875
    3 National Key Laboratory of Science and Technology on Aerospace Intelligence Control, Beijing 100854
    4 Beijing Aerospace Automatic Control Institute, Beijing 100070

  • Online:2021-05-28 Published:2021-05-28
  • Contact: WU Xia, a professor at the School of Artificial Intelligence, Beijing Normal University. She is mainly engaged in the research of brain signal processing and analysis, brain-inspired intelligence, affective computing, and machine learning. WANG Liya, a research associate at the Administration for Research and Development of Beijing Normal University. Her main research direction is scientific achievements management.
  • About author:JIA Tianyuan (1998- ), is currently pursuing a Master degree in the School of Artificial Intelligence of Beijing Normal University. She is engaged in transfer learning, brain signal processing, and brain-inspired intelligence.

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Abstract:  Recent advances in Artificial Intelligence (AI) have indicated that inspirations from the brain can effectively improve the level of intelligence for AI computational models, even if just local and partial inspirations. Nevertheless, realizing and exceeding intelligence at a human level still needs a deeper investigation and inspirations from the brain. The goal of brain-inspired intelligence is to achieve human intelligence inspired from brain neural mechanism and cognitive behavior mechanism. To this end, in this paper we introduce the relationship between AI and neuroscience, the current status of brain-inspired intelligence, the future work in intelligent control systems, and its profound influence in other fields.

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