48 0

Comparative analysis of US and China artificial intelligence patents trends

Title
Comparative analysis of US and China artificial intelligence patents trends
Author
류호경
Keywords
Artificial Intelligence; AI Patents; National patents comparative analysis; Patent application trends; Patent trends analysis; IPC code
Issue Date
2019-01
Publisher
한국컴퓨터정보학회
Citation
한국컴퓨터정보학회논문지, v. 24, NO 1, Page. 25-32
Abstract
With the rapid development of artificial intelligence technology, the patenting activities related to the fields of AI is increasing worldwide. In particular, a share of patent filed in China has exploded in recent years and overtakes the numbers in the US. In the present study, we focus our attention on the patenting activity of China and the US. We analyzed 6,281 and 13,664 patent applications in the US and China respectively between 2008 and 2018, and belonging to the “G06F(Electric Digital Data Processing)”, “G06N(Computer Systems Based on Specific Computational Models)”, “H04L(Transmission of Digital Information)” and nine more relevant technological classes, as indicated by the International Patent Classification(IPC). Our analysis contributes to: first, the understanding of patent application trends from foreign countries filed in the US and China, 2) patent application status by applicants category such as companies, universities and individuals, 3) the development direction and forecasting vacant technology of AI according to main IPC code. Through the analysis of this paper, we can suggest some implications for patent research related to artificial intelligence in Korea. Plus, by analyzing the most recent patent data, we can provide important information for future artificial intelligence technology research.
URI
http://koreascience.or.kr/article/JAKO201911338886607.pagehttp://repository.hanyang.ac.kr/handle/20.500.11754/102774
ISSN
1598-849X; 2383-9945
DOI
10.9708/jksci.2019.24.01.025
Appears in Collections:
GRADUATE SCHOOL OF TECHNOLOGY & INNOVATION MANAGEMENT[S](기술경영전문대학원) > TECHNOLOGY MANAGEMENT(기술경영학과) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE