Science & Technology Review
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2022, 40(22): 12-19
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Life cycle dynamic comparison and evolutionary path survey of the core technologies in artificial intelligence industry of China and the USA
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YUAN Ye, WU Chaonan, LI Jingying, TAO Yuxiang
Affiliations
School of Economics and Management, Chongqing University of Post and Telecommunications, Chongqing 400065, China
Published: 2022-11-28
doi: 10.3981/j.issn.1000-7857.2022.22.002
Outline
By using Logistic model, the core technology life cycle characteristics in the artificial intelligence industry were dynamically compared between China and the USA. The evolution trend of the core technologies in artificial intelligence industry of China and the USA was discussed by integrating technology life cycle and RTA Index. It discovers that:(1) 2025-2030 will be the key period for the development and breakthrough of core technologies in artificial intelligence industry in China, and China should firmly grasp the critical period to achieve catching-up. (2) During the evolution of the core technologies in artificial intelligence industry, China had technological advantages in computer vision and intelligent adaptive learning, rather than comprehensive technical fields such as cross-media analysis and reasoning and swarm intelligence. Due to the brain-computer interface and smart chip not entering the mature period, China should be aware of the core technique lock-in and defense strategies of the first-mover. Relying on the broad markets and the wide range of application scenarios, natural language processing and autonomous unmanned system were developed rapidly.
artificial intelligence industry
/
core technology
/
technology life cycle
YUAN Ye, WU Chaonan, LI Jingying, TAO Yuxiang.
Life cycle dynamic comparison and evolutionary path survey of the core technologies in artificial intelligence industry of China and the USA[J].
Science & Technology Review,
2022
, 40
(22)
: 12
-19
.
DOI: 10.3981/j.issn.1000-7857.2022.22.002
Year 2022 volume 40 Issue 22
PDF
682
67
Cite this Article
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Article Info
doi: 10.3981/j.issn.1000-7857.2022.22.002
- Receive Date:2021-08-14
- Online Date:2022-12-13
- Published:2022-11-28