The 2023 World Artificial Intelligence Conference opened this morning (July 6) at the Shanghai World Expo Center. With the theme of "Intelligent Connected World, Generating the Future", this year's conference discussed the trends and laws of artificial intelligence development, the opportunities and challenges faced, and worked together to create a better intelligent world.
The talent section of the 2023 World Artificial Intelligence Conference continues to improve, and for the diverse talent echelons such as academic leaders, industry leaders, developers, and young talents, give full play to the resource gathering and linking functions of international conferences, create a good talent development environment, and provide important talent support for industrial development.
In the roundtable discussion session of the opening ceremony, among the four people in the group, except for Yao Zhizhi, winner of the Turing Award, academician of the Chinese Academy of Sciences, and dean of the Institute of Interdisciplinary Information Studies of Tsinghua University, the other three scholars had an average age of less than 33 years old.
Yao Zhizhi introduced that there is a young Chinese scholar Gao Yang at the Institute of Interdisciplinary Information Studies of Tsinghua University, who achieved an algorithm breakthrough in reinforcement learning more than a year ago, not only completed the application progress, but also made theoretical contributions, which has attracted widespread international attention.
After Chattgpt, the next important goal of AI research is to enable robots with multiple perception capabilities to learn new skills independently in different environments. The contribution of this young Chinese scholar is to increase the learning speed of robots by hundreds of times. "In the usual way of reinforcement learning for robots, it often takes months to learn new technologies, which is too slow." Yao said that thanks to the young scholar's research, reinforcement learning can now be completed in just a few hours.
In the past six or seven years, there has been a "battle of routes" at the top of the artificial intelligence community, that is, whether to take the road of reinforcement learning. Yao Zhizhi believes that the breakthrough of young Chinese scholars has tilted the scales, allowing people to see the road of reinforcement learning and understand that there is still a long way to go.
Professor Tang Xiaoou of the Chinese University of Hong Kong also shared the experiences of his three students at the scene. The experiences of the three students represent different stages of the development of the AI industry: Wang Xiaogang sowed a lot of original seeds in the early years of the rise of deep learning, He Kaiming laid a very solid and deep foundation of deep learning, and Lin Dahua made everyone's efforts flourish through the development and large model. Just two weeks ago, the large model of autonomous driving researched by Tang Xiaoou's team stood out from 9155 articles and won the CVPR 2023 Best Paper Award. According to Google Scholar statistics, this is the first international computer vision top paper completed by Chinese scholars in more than 40 years of reform and opening up.
Different sharing points to China's young scientific research talents. "In deep learning, the big trees planted by a group of scientific research creators have begun to blossom and bear fruit. A new generation of students has already successfully started in Shanghai. Tang Xiaoou said.