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AI Challenger Global AI Contest
“AI Challenger Global AI Contest” is a platform of open datasets and programming competitions for artificial intelligence talents around the world. AI Challenger's goal is to support the development of AI talents by providing with high quality and rich data resources, and to solve real world problems by accelerating the integration of research and applications. 8892 teams from 65 countries participated in the inaugural AI Challenger competitions in 2017, which has made it the largest dataset platform for scientific research and the largest non-commercial competition platform in China. AI Challenger 2018 brings over 10 brand-new datasets and corresponding competitions, and 450,000+ USD prize. Let's solve real world problems with AI! More details
Messages from Hosts
Kai-Fu Lee
Chairman & CEO of Sinovation Ventures
Hope everyone of you, AI Challenger participants, AI researchers and students, will cherish the Age of AI, and leverage big data to create the best technologies!
Xiaochuan Wang
CEO of Sogou
Hope you will find the balance between data and algorithm, so as to make innovative breakthroughs. Everyone can be an AI Challenger!
Daofeng Luo
CTO of Meituan-Dianping
AI has been a part of our lives, but there're are still many challenges in solving real world problems with AI. Looking forward to more AI Challengers!
Xinhong Wu
Founder & CEO of Meitu
Hope to see more state-of-the-art AI technologies and exploration of new possibilities. Wish all contestants will go beyond their best performance!
Judging Committee
(in alphabetical order)
Natual Language Processing
Shujian Huang
Nanjing University
Yang Liu
Tsinghua University
Xiaodong Shi
Xiamen University
Ji-Rong Wen
Renmin University of China
Tiejun Zhao
Harbin Institute of Technology
Xiaoyan Zhu
Tsinghua University
Computer Vision
Xiang Bai
Huazhong University of Science and Technology
Shixia Liu
Tsinghua University
Tao Mei
JD.com, IAPR Fellow
Jian Sun
Megvii Technology
Liang Wang
Chinese Academy of Sciences
Wenjun Zeng
Microsoft Research, IEEE Fellow
Autonomous Driving and etc
白翔
白翔
Xiaofei He
fabu.ai, IAPR Fellow
Ching-Yao Chan
Berkeley DeepDrive
Co-hosts
Partners
Co-organizers / Supporters
Co-organizer
Beijign International Artificial Intelligence Research Institute
Co-organizer
Institute of Urban Meteorology, CMA, Beijing
Data Support
Peking University
Data Support
Berkeley DeepDrive
Data Support
Nanjing University of Science and Technology
Data Support
JiangSu Province Hospital
Data Support
Xinke Science & Technology
Technical Support
TensorFlow
Online Learning Platform Supporter
Udacity
Online Learning Platform Supporter
China Hadoop
AI GPU Cloud Support
Ucloud
Guided by
Administrative Committee of Zhongguancun Science Park
Beijing Municipal Commission of Economy and Information Technology
All for AI Talents!
In additional to the online community on challenger.ai, WeChat and Slack groups, AI Challenger 2018 will run tech forums at universities in many cities around the globe.
China: Beijing, Chengdu, Chongqing, Guangzhou, Hangzhou, Harbin, Hefei, Hong Kong, Hsinchu, Nanjing, Shanghai, Shenyang, Suzhou, Taipei, Tainan, Wuhan, Xi'an, Xiamen, etc.
North America: Berkeley, Boston, Chicago, Ithaca, Los Angeles, Michigan, New York, Palo Alto, Pittsburgh, Seattle, Washington, etc. in USA; Toronto, Edmonton, etc. in Canada.
Europe: Cambridge, Dublin, Liverpool, London, Manchester, Nottingham, Oxford, etc. in UK. Munich Germany, Paris France, Delft the Netherlands, Moscow Russia, etc.
Asia-Pacific: Sydney Australia, Delhi India, Tokyo Japan, Seoul Korea, Kuala Lumpur Malaysia, Singapore, etc.

AI Challenger also supports The International AI Training Program For Chinese Universities, which plans to train over 500 school faculties and 5,000 students in becoming future AI talents, impacting hundreds of thousands more AI talents within 5 years. In 2018, this program has trained 100 teachers from the top 50 computer science universities in China, and 300 students from 85 universities worldwide (out of 7,000 applicants from over 600 universities). More details