scholarly journals The Training Mode of Design Talents in Colleges and Universities from the Perspective of Artificial Intelligence

2021 ◽  
Vol 1881 (2) ◽  
pp. 022052
Author(s):  
Yuzhen Shang
2022 ◽  
Vol 6 (1) ◽  
pp. 1-6
Author(s):  
Yi Qian

In order to serve the local economic development, this study investigates the demand for local talents and analyzes the characteristics of the talent training in artificial intelligence in local colleges and universities. Subsequently, the talent training objectives of artificial intelligence specialty have been formulated, and a curriculum system that integrates the industry and education has been constructed in hope to continuously provide high-quality talents in artificial intelligence for the society.


2021 ◽  
pp. 1-10
Author(s):  
Xuying Sun ◽  
Yu Zhang

The importance of the management of ideological and political theory courses in colleges and universities is objective to the importance of ideological and political theory courses. At present, the management of ideological and political theory courses in colleges and universities has big problems in both macro and micro aspects. This paper combines artificial intelligence technology to build an intelligent management system for ideological and political education in colleges and universities based on artificial intelligence, and conducts classroom supervision through intelligent recognition of student status. The KNN outlier detection algorithm based on KD-Tree is proposed to extract the state information of class students. Through data simulation, it can be known that the KD-KNN outlier detection algorithm proposed in this paper significantly improves the efficiency of the algorithm while ensuring the accuracy of the KNN algorithm classification. Through experimental research, it can be seen that the construction of this system not only clarifies the direction of management from a macro perspective, but also reveals specific methods of management from a micro perspective, and to a certain extent effectively solves the problems in the management of ideological and political theory courses in colleges and universities.


2020 ◽  
pp. 1-11
Author(s):  
Zhang Yingying

Public art communication in colleges and universities needs to be launched with the support of artificial intelligence systems. According to the current situation of public art communication in colleges and universities, this paper builds a smart cloud platform for public art communication in colleges and universities with the support of artificial intelligence algorithms. Moreover, this paper introduces the bandwidth offset coefficient to judge the change of network throughput, introduces the slice download rate difference to first judge the consistency change trend of bandwidth, and then further proposes the calculation method of bandwidth prediction value by situation. In addition, this paper proposes a flexible transmission mechanism based on smart collaborative networks. Through in-depth perception of network status and component behavior, this mechanism implements the selection of the optimal path in the network according to the current network status and user service requirements to complete the transmission of service resources. If the current transmission path fails, the mechanism should ensure the continuity and reliability of the service. The research results show that the system constructed in this paper has good performance and can be applied to practice.


2021 ◽  
Vol 235 ◽  
pp. 02079
Author(s):  
Jing Yang ◽  
Yang Li

Firstly, it introduces the current situation of talent training mode of economics major in the context of integration production and education. Then, it analyses the current situation and the cause of the problem of the cultivation mode of economic professionals in colleges and universities. Finally, the cultivation mode of economic professionals in colleges and universities under the background of industry and education integration is constructed.


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