Youth AI Summer Camp Registration
ü Best research resources (Experience research life in AI lab and meet scientists in the field of AI)
ü Open-source tool (Use MMEdu, an open-source tool for teenagers based on OpenMMLab to carry out science and technology projects)
ü Excellent science and technology projects (Complete an AI science and technology project and get the certificate of the summer camp under the guidance of researchers from Shanghai Jiao Tong University, University of Chinese Academy of Sciences, Fudan University, ShanghaiTech University and other prestigious universities)
ü Top-notch faculty (Meet experts from Shanghai AI Laboratory, The Chinese University of Hong Kong, Shanghai Jiao Tong University, University of Science and Technology of China and Sense Time; take classes from Xie Zuoru, the pioneering figure of Maker Education in China)
ü First-class platform to showcase your projects (Each project will participate in a workshop and receive customized guidance from top experts. The best projects will have the opportunity to be published in magazine columns and shown in international AI conferences and forums)
ü AI Community for teenagers (A community for AI fans will be established, where resources of AI science and technology will be shared regularly and questions concerning this field will get answered)
Organizers of the summer camp
This summer camp is hosted by Shanghai AI Laboratory, with the Global Artificial Intelligence Academic Alliance (GAIAA) as its undertaker and Sense Time providing technical support. The excellent works of students will be published by Magazines WXD Hands-on Electronics and i-ROBOT.
Instructors of the summer camp
Lin Dahua
He is an expert in deep learning and computer as well as a professor at the Chinese University of Hong Kong and Shanghai Artificial Intelligence Laboratory. He has extensive research experience in computer vision, probabilistic inference and deep learning, and has got outstanding results in various topics. He has published more than 200 papers in top conferences and journals on computer vision and machine learning such as CVPR/ICCV/ECCV/NIPS/PAMI. He won the best student paper award in NIPS, the most prestigious conference on machine learning, in year 2010. He also received the outstanding reviewer awards in ICCV 2009 and ICCV 2011. He supervised or co-supervised CUHK teams in international competitions and won multiple awards in ImageNet 2016, ActivityNet 2016 & 2017, COCO 2018 & 2019. In addition, he serves as an area chair for multiple conferences, including CVPR, ECCV, BMVC, and ACM Multimedia. He also serves on the editorial board of the International Journel of Computer Vision (IJCV).
Lu Cewu
Lu Cewu is a professor and doctoral advisor at Shanghai Jiao Tong University (SJTU), the class tutor of Guozhi Class, and a research fellow at Stanford University AI Laboratory working under Prof. Li Fei-Fei. In 2018, he was selected as 35 Innovators Under 35 (MIT TR35) by MIT Technology Review. In 2019, he was awarded Qiu Shi Outstanding Young Scholar. He is a reviewer in AI for the journal Nature and Science and the area chair for CVPR 2020.
Xie Zuoru
He is a consultant of AI Education Center at Shanghai Artificial Intelligence Laboratory, the head of Artificial Intelligence Laboratory in Zhejiang Wenzhou High School, a “special-grade teacher” of Zhejiang Province, a “senior teacher”, one of the "Ten Thousand Teaching Masters in Zhejiang Province", the deputy director of the Modern Education Technology Branch of the Chinese Institute of Electronics, and an executive director of the Information Technology Education Committee of the China Association for Educational Technology. He is the editor-in-chief of the high school information technology textbook of Zhejiang Education Publishing House, and the deputy editor-in-chief of the information technology textbook of the experimental textbook writing group of Tsinghua University.
Related Information
l Registration
Registration Time: June 22nd – July 10th
Participants: students interested in AI from 7th Grade to 12th Grade
Summer Camp Dates: July 11th – July 17th
l Online Classes and Assessment
Content: Lectures by Scientists in Shanghai AI Lab, Dialogue with Guozhi Class, Shanghai Jiao Tong University, Introduction to Deep Learning, Deep Learning for Image Classification, Solving Real World Problems with AI
Instructors: scientists at Shanghai AI Laboratory, professors from Shanghai Jiao Tong University, famous experts in AI education
Assessment Time: July 18th – July 24th
Assessment Methods: CV, homework and interview
Offline Schedule
Time: 9:00-20:00, July 25th – July 31st
Place: Shanghai AI Laboratory
Fee: free classes (board and lodging expenses are not covered)
Theme: Students are encouraged to carry out projects around the theme of "Artificial Intelligence for Smart Living". Each student entering the offline summer camp will receive customized guidance for his/her project, and researchers from Shanghai AI Lab will guide them through the project.
TELL:15888777163 EMAIL:AIEDU@pjlab.org.cn