Title page for etd-0727120-151047


URN etd-0727120-151047 Statistics This thesis had been viewed 107 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

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