{"title":"A Flexible Remote Laboratory Platform for Interactive AI Experiments with Hardware and Software Facilities","authors":"Rui Yang, Yutao Qi, Jun Deng, Zhiyang Liu, Mingzhang Luo, Xiaolong Yuan","doi":"10.1109/ICCSI53130.2021.9736168","DOIUrl":null,"url":null,"abstract":"With the rapid development of AI technology, colleges and universities are gradually starting to build AI laboratories to meet the growing demand for AI talent cultivation. AI experiments include a variety of hardware and software facilities, and the operation methods of different facilities are different. So this requires that the AI experimental platforms must adapt to different experimental facilities conveniently and flexibly, and realize the sharing of different types of experimental resources. Based on Social computing technology, this paper implements a flexible remote laboratory platform for interactive AI experiments with hardware and software facilities. The platform is compatible with a variety of experimental equipments and a unified communication module, which can flexibly integrate different kinds of AI experiments and various platform experimental resources. At the same time, the platform implements a new online programmable experiment environment based on the Wiki system, which makes students' online experiments easier. The platform implemented in this paper has a strong teaching effect and provides a very convenient remote teaching way for the AI experimental course.","PeriodicalId":175851,"journal":{"name":"2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSI53130.2021.9736168","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the rapid development of AI technology, colleges and universities are gradually starting to build AI laboratories to meet the growing demand for AI talent cultivation. AI experiments include a variety of hardware and software facilities, and the operation methods of different facilities are different. So this requires that the AI experimental platforms must adapt to different experimental facilities conveniently and flexibly, and realize the sharing of different types of experimental resources. Based on Social computing technology, this paper implements a flexible remote laboratory platform for interactive AI experiments with hardware and software facilities. The platform is compatible with a variety of experimental equipments and a unified communication module, which can flexibly integrate different kinds of AI experiments and various platform experimental resources. At the same time, the platform implements a new online programmable experiment environment based on the Wiki system, which makes students' online experiments easier. The platform implemented in this paper has a strong teaching effect and provides a very convenient remote teaching way for the AI experimental course.