2024 College AI Creativity Competition (C4-AI)

Introduction

The "China University Computer Contest - Artificial Intelligence Creativity Contest" (hereinafter referred to as the "Contest") is a scientific and technological innovation competition for students of all majors in universities around the world. It is organized by the Ministry of Education's Computer Teaching Steering Committee, the Ministry of Education's Software Engineering Teaching Steering Committee The Ministry of Education University Computer Course Teaching Steering Committee and the National University Computer Education Research Association were jointly founded in 2018, which has had a wide impact on universities at home and abroad, and has been included in the "National University Discipline Competition Ranking Competition" of the Chinese Association of Higher Education. The sixth (2023) competition is sponsored by the National Association for Computer Education in Colleges and Universities, and co organized by Zhejiang University and Baidu. The purpose of the competition is to stimulate students' innovative awareness, improve the ability of AI innovation practice and application, cultivate the spirit of teamwork, promote intercollegiate exchanges, enrich the academic atmosphere on campus, and promote talent cultivation under the "AI+X" knowledge system.

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Schedule

Deadline for submission of application and preliminary materials
August 15, 2023
Submission deadline of materials for semi-finals
September 30, 2023
On site defense of national finals
Mid late November 2023
August 15, 2023
Deadline for submission of application and preliminary materials
September 30, 2023
Submission deadline of materials for semi-finals
Mid late November 2023
On site defense of national finals

The time and place of the excellent team training camp and award ceremony will be notified separately

Contest registration

The entries must focus on the core technology of artificial intelligence and explore the creative scheme of technology application with specific landing scenarios, such as the application and exploration of artificial intelligence technology in aerospace, industry, agriculture, medical care, culture, education, finance, transportation, public safety, daily life, public welfare and other industries.

The competition adopts an open proposition, and the entries must use Baidu AI open platform related technologies and follow the relevant design, development guidelines and specifications. Participants should give full play to their innovative ability, explore application scenarios freely and obtain relevant data by themselves, and finally submit original entries that can be displayed in visual applications.

The competition is divided into three groups: the enabling group (EasyDL/BML/AI Studio), the innovation group (flying oars) and the aerospace group (flying oars). Each team can choose any group according to its own interests and technical ability. The same team member (team) is allowed to enter only one group.

Open source deep learning platform for flying oars

Based on Baidu's years of in-depth learning technology research and business application, Feizhuan integrates the core framework of in-depth learning, basic model library, end-to-end development kit, tool components and service platform. It was officially open source in 2016, and is an industrial level in-depth learning platform with comprehensive open source, advanced technology and complete functions in China.

EasyDL

EasyDL is an AI development platform launched by Baidu for enterprise developers. It provides full process functions such as intelligent tagging, model training, service deployment, etc., has a rich built-in pre training model, and supports flexible deployment methods such as public cloud/privatization/device side. EasyDL provides classic, professional and retail products for different people, and has been launched in industries, retail, manufacturing, medical and other fields.

AI Studio

Flying Propeller AI Studio is a one-stop development and training platform for AI learners. The platform integrates a wealth of free AI courses, in-depth learning sample projects, classic data sets in various fields, cloud based super strong GPU computing power and storage resources, and a lucrative elite algorithm contest. AI Studio makes AI learning easier, and systematic courses start the AI learning journey.

BML full function AI development platform

BML full-featured AI development platform is an integrated development environment for machine learning for enterprise and individual developers. It provides full lifecycle management services from data processing, model training, model management to model reasoning for classic machine learning and deep learning, and helps users build, train and deploy models faster.

EasyDL-EdgeBoard

The EasyDL EdgeBoard software and hardware integration scheme is a software and hardware integration scheme launched by Baidu for customized in-depth learning image analysis on the device side, which helps developers easily implement the edge deployment of EasyDL model, and supports offline computing of image classification and object detection customized models.

Rule Details Register now

Competition video

Preliminary Sprint Training Course

College students use AI to
Wandering Earth 3 Help

Film and TV play

Trolley 1224

Waste sorting smiley face

Mechanical war police

"Pest expert" is going to lose his job?

Four college students spent one holiday, creating an intelligent peach sorter

Organization

Information of the Organizing Committee

    • Competition Steering Committee
    • Director: Pan Yunhe (Zhejiang University)
    • Members: (sorted by the strokes of the surname)
    • Wang Haifeng (Baidu)
    • Gu Tianlong (Guilin University of Electronic Science and Technology)
    • Zhuang Yueting (Zhejiang University)
    • Liu Ting (Harbin Institute of Technology)
    • Liu Chenglin (University of Chinese Academy of Sciences)
    • Li Bo (Beijing University of Aeronautics and Astronautics)
    • Zhou Jie (Tsinghua University)
    • Gao Xinbo (Chongqing University of Posts and Telecommunications)
    • Yellow River Swallow (Beijing University of Technology)
    • Jiao Licheng (Xi'an University of Electronic Science and Technology)
    • Zeng Zhigang (Huazhong University of Science and Technology)
    • Competition Expert Committee
    • Director: Wu Fei (Zhejiang University)
    • Deputy Director: Xue Xiangyang (Fudan University)
    • Members: (sorted by the strokes of the surname)
    • Ma Zhixin (Lanzhou University)
    • Wang Wanliang (Zhejiang University of Technology)
    • Wang Yuanzhuo (Institute of Computing Technology, Chinese Academy of Sciences)
    • Wang Hanli (Tongji University)
    • Zhu Qiang (Zhejiang University)
    • Sun Lingyun (Zhejiang University)
    • Li Xuanya (Baidu)
    • Li Houqiang (University of Science and Technology of China)
    • Xiao Chunxia (Wuhan University)
    • Wu Fan (Shanghai Jiaotong University)
    • Shen Hongbin (Shanghai Jiaotong University)
    • Zhang Xiaoqin (Wenzhou University)
    • Chen Songcan (Nanjing University of Aeronautics and Astronautics)
    • Jin Xiaogang (Zhejiang University)
    • Zhao Tiejun (Harbin Institute of Technology)
    • Zha Zhengjun (University of Science and Technology of China)
    • Hou Biao (Xi'an University of Electronic Science and Technology)
    • Yu Jun (Hangzhou University of Electronic Science and Technology)
    • Chang Yi (Jilin University)
    • Peng Yuxin (Peking University)
    • Han Yahong (Tianjin University)
    • Cui Yuanhao (South University of Science and Technology)
    • Li Ming (Nanjing University)
    • Xue Jianru (Xi'an Jiaotong University)
    • Competition Organizing Committee
    • Director: He Qinming (Zhejiang University)
    • Deputy Director: Ji Xiangting (Baidu)
    • Secretariat: (sorted by the strokes of the surname)
    • Zhang Xiaoshi (Baidu)
    • Wu Chen (Zhejiang University)
    • Members: (sorted by the strokes of the surname)
    • Mao Xinjun (National University of Defense Technology)
    • Liu Guisong (Southwestern University of Finance and Economics)
    • Chen Limeng (Zhejiang University)
    • Zhang Yu (Harbin Institute of Technology)
    • Lin Fei (Hangzhou University of Electronic Science and Technology)
    • Ouyang Yuanxin (Beijing University of Aeronautics and Astronautics)
    • Mei Kuizhi (Xi'an Jiaotong University)
    • Cheng Jieren (Hainan University)

contact us

The competition organizing committee office is located in the School of Computer Science and Technology, Zhejiang University

  • Competition QQ group: 853144590
  • Email: AI_Creative@163.com

The sponsor of the China University Computer Competition (CCCC) has the final right to interpret the competition. For any infringement, we will reserve the right to investigate the legal liability of the infringer.

Jing ICP Bei 15042672-1