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Patent Technology Networks and Technology Development Trends of Neuromorphic Systems

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Mobile and Wireless Technology 2018 (ICMWT 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 513))

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Abstract

Neuromorphic systems have been recognized by developed countries as the most promising research area in AI computing. However, previous studies on neuromorphic systems have mostly focused on technical details or specific devices or products, failing to actively indicate the technological focus and recent development trends. Therefore, this study used neuromorphic system patents to construct a technology network through patent technology network analysis. The results show that the technological focuses of neuromorphic systems are biological models; specific functions and applications of digital computing; and detection, measurement, and recording for diagnostic purposes. In addition, the development of medical diagnosis and measurement technology as well as equipment such as speech recognition and optical apparatuses has flourished in recent years. This study proposed a technological map of neuromorphic systems that can provide the government with valuable information for exploring development trends in this field.

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Authors and Affiliations

  1. Science & Technology Policy Research and Information Center, National Applied Research Laboratories, 14F., No. 106, Sec. 2, Heping E. Rd., Taipei, 10636, Da’an District, Taiwan, China

    Shu-Hao Chang & Chin-Yuan Fan

Authors
  1. Shu-Hao Chang
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  2. Chin-Yuan Fan
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Corresponding author

Correspondence to Chin-Yuan Fan .

Editor information

Editors and Affiliations

  1. iCatse, Suwon, Kyonggi-do, Korea (Republic of)

    Kuinam J. Kim

  2. Computer Science, Namseoul University, Cheonan, Ch’ungch’ŏng-namdo, Korea (Republic of)

    Hyuncheol Kim

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Chang, SH., Fan, CY. (2019). Patent Technology Networks and Technology Development Trends of Neuromorphic Systems. In: Kim, K., Kim, H. (eds) Mobile and Wireless Technology 2018. ICMWT 2018. Lecture Notes in Electrical Engineering, vol 513. Springer, Singapore. https://doi.org/10.1007/978-981-13-1059-1_27

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  • DOI: https://doi.org/10.1007/978-981-13-1059-1_27

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1058-4

  • Online ISBN: 978-981-13-1059-1

  • eBook Packages: EngineeringEngineering (R0)

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