Patent Technology Networks and Technology Development Trends of Neuromorphic Systems
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.
KeywordsNeuromorphic system Technology network Network analysis Technology trend Patent analysis
- 5.Garnter (2016) Gartner’s 2016 hype cycle for emerging technologies identifies three key trends that organizations must track to gain competitive advantage. Garnter, Stamford, CTGoogle Scholar
- 10.MarketsandMarkets (2016) Neuromorphic computing market by offering (hardware, software), application (image recognition, signal recognition, data mining), industry (aerospace & defense, IT & telecom, automotive, medical & industrial) and geography-global forecast to 2022. MarketsandMarkets, Seattle, WAGoogle Scholar
- 14.OBRC (2017) Global neuromorphic chip market insights, opportunity analysis, market shares and forecast, 2017–2023. Occams Business Research & Consultancy, MumbaiGoogle Scholar