URN |
etd-0727120-151047 |
Statistics |
This thesis had been viewed 158 times. Download 1 times.
|
Author |
Chueh-Cheng Yang |
Author's Email Address |
jj019808@gmail.com |
Department |
Institute of Electrical Engineering |
Year |
2019 |
Semester |
2 |
Degree |
Master |
Type of Document |
Master's Thesis |
Language |
zh-TW.Big5 Chinese |
Page Count |
121 |
Title |
Study on the Promoted Strategy of Artificial Intelligence by Government-AI Innovation Research Center Established by Ministry of Science and Technology |
Keyword |
Government Research Bulletin
Deep learning
Artificial intelligence
Artificial intelligence
Deep learning
Government Research Bulletin
|
Abstract |
This paper investigate the policy direction and performance of the government in promoting artificial intelligence by the project announced by the Ministry of Science and Technology. The projects of 5-year period with an estimated investment of 1 billion per year as the promotion policy are expected to deepen the promotion of artificial intelligence technology. After reviewing the plan concept, the Ministry of Science and Technology formally established AI innovation research centers in four major fields and approved the accepted project of AI since 2018. The information of the accepted project of AI from 2018 to 2020 selected from the website of "Government Research Bulletin" are further statistically analyzes. According to the presented data, it can be found that project information about the accepted ratio and the project funding of national universities, private universities, academic research, hospital institutions and legal institutions. In addition, the highest appeared times of keywords in the names of projects are counted to be the "artificial intelligence" and "deep learning", which are considerable for applying AI project. |
Advisor Committee |
Yueh-Chien Lee - advisor
His-Chiang Chou - co-chair
Chia-Ti Wu - chair
|
Files |
indicate in-campus access immediately and off-campus access at 5 years |
Date of Defense |
2020-07-16 |
Date of Submission |
2020-07-27 |