Research on Training System for Artificial Intelligence Talents&nbsp;against the Background of New Engineering

YAN Yuan-ting; ZHANG Yi-wen; CHEN Jie; ZHANG Yan-ping

doi:10.12152/j.issn.1672-2868.2019.03.017

Journal of Chaohu University >

2019 , Vol. 21 >Issue 3: 119 - 125

DOI: https://doi.org/10.12152/j.issn.1672-2868.2019.03.017

Research on Training System for Artificial Intelligence Talents against the Background of New Engineering

YAN Yuan-ting ,
ZHANG Yi-wen ,
CHEN Jie ,
ZHANG Yan-ping

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School of Computer Science and Technology, Anhui University, Hefei Anhui 230601

Received date: 2018-12-18

Online published: 2019-05-25

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Abstract

China is now in a critical period of economic transition, innovative talents with innovative spirit and ability are the core supporting force to promote social and economic transition. Advanced technologies with artificial intelligence as the representative are playing an increasingly important role in the new economy. The "new engineering" project which aims to cultivate innovative talents has become a consensus of engineering education circle of China. In artificial intelligence (AI) innovation action plan, Ministry of Education states that the construction of new engineering project should be promoted and the AI talent training system be improved. Against this background,this paper first analyzes the characteristics of artificial intelligence and the experience of famous foreign universities, and then discusses the construction ideas for AI talent training system from three aspects, including the formulation of flexible training program for AI talent, the construction of curriculum system for AI talent training, and the design of bachelor-master-doctoral talent training path.

Key words： new engineering; artificial intelligence; training system

Cite this article

YAN Yuan-ting , ZHANG Yi-wen , CHEN Jie , ZHANG Yan-ping . Research on Training System for Artificial Intelligence Talents against the Background of New Engineering[J]. Journal of Chaohu University, 2019 , 21(3) : 119 -125 . DOI: 10.12152/j.issn.1672-2868.2019.03.017

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