高校人工智能实验室的规划与建设  

Planning and construction of artificial intelligence laboratory in colleges and universities

作　　者：吴湘宁 彭建怡 罗勋鹤 刘远兴 李敏[3] WU Xiangning;PENG Jianyi;LUO Xunhe;LIU Yuanxing;LI Min(School of Computer Science,China University of Geosciences(Wuhan),Wuhan 430078,China;Office of Laboratory and Equipment Management,China University of Geosciences(Wuhan),Wuhan 430074,China;School of Computer Engineering,Jingchu University of Technology,Jingmen 448000,China)

机构地区：[1]中国地质大学(武汉)计算机学院,湖北武汉430078 [2]中国地质大学(武汉)实验室与设备管理处,湖北武汉430074 [3]荆楚理工学院计算机工程学院,湖北荆门448000

出　　处：《实验技术与管理》2020年第10期244-250,共7页Experimental Technology and Management

基　　金：中国地质大学(武汉)中央高校教改基金(本科教学工程)项目(2019G51);中国地质大学(武汉)实验技术研究项目(SJ-201825)。

摘　　要：该文讨论了高校在建设人工智能实验室时,需考虑的计算能力、训练数据集、算法及框架这三大要素,设计了人工智能实验室的架构,并重点介绍了单机深度学习实验平台和基于CPU加速云服务的共享深度学习实验平台的设计思路和技术方案。此外,还介绍了人工智能实验课程的体系和实验项目。This paper discusses the three major elements in the construction of an artificial intelligence laboratory in colleges and universities such as computing power,training data set,algorithm and framework,designs the architecture of an artificial intelligence laboratory,and focuses on the design ideas and technical solutions of single machine deep learning experimental platform and sharing deep learning experimental platform based on CPU accelerated cloud service.In addition,the system and project of artificial intelligence experiment curriculum are introduced.

关 键 词：人工智能 实验室建设 实验课程体系 

分 类 号：G482[文化科学—教育学] TP399[文化科学—教育技术学]