高校计算机专业实验室建设的探索与实践  

Exploration and Practice in the Construction of Computer Science Laboratory in Higher Education Institutions

作　　者：史慧洋 刘大伟 张科 Shi Huiyang;Liu Dawei;Zhang Ke(School of Computer Science and Technology,University of Chinese Academy of Sciences,Beijing 101408,China;Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China)

机构地区：[1]中国科学院大学计算机科学与技术学院,北京101408 [2]中国科学院计算技术研究所,北京101408

出　　处：《高校实验室科学技术》2024年第1期105-112,共8页

基　　金：教育部计算机系统与处理器芯片课程虚拟教研室(教高厅函〔2022〕13号);教育部第二批基础学科拔尖学生培养计划2.0基地——中国科学院大学计算机科学与技术拔尖学生培养基地;中国科学院大学管理支撑创新能力提升专项(292022000407)。

摘　　要：在新时代背景下,深度学习技术在各个领域的应用愈发广泛,特别是近期ChatGPT等大语言模型技术的涌现,将极大推动相关产业的发展与变革,也势必对高校计算机专业实验类教学以及实验室环境建设提出更高要求。然而,传统的实验室受限于设备和管理等方面的限制,难以适应当下的教学与科研需求。因此,本文提出一种高校实验室建设方案,并以中国科学院大学计算机学院计算机专业人工智能实验室建设为实例,列举关键思路与做法,旨在建设教学与科研相融合的开放性创新实验室。In the context of the new era,the application of deep learning technology in various fields is becoming increasingly widespread,especially the recent emergence of big language model technologies such as ChatGPT,which will greatly promote the development and transformation of related industries.This will also inevitably put forward higher requirements for experimental teaching and laboratory environment construction in computer science majors in universities.However,traditional laboratories are limited by equipment and management,making it difficult to adapt to current teaching and research needs.Therefore,this paper proposes a university laboratory construction scheme,and takes the construction of the artificial intelligence laboratory of the School of Computer Science,University of Chinese Academy of Sciences as an example,enumerates the key ideas and practices,aiming at building an open and innovative laboratory integrating teaching and scientific research.

关 键 词：实验室建设 人工智能 科教融合 AI算力集群 

分 类 号：G451.2[文化科学—教育学]