On the afternoon of June 11, a symposium with academician Pan Yunhe and an AI Project Update Meeting were held in Zhejiang Lab. The symposium marked the fourth lecture from a leading expert since the symposium was set up. More than one hundred delegates from Zhejiang Lab, Zhejiang University, Alibaba, NetEase, Dahua Technology, HiVision, DAS Security and enterprises in China AI Town attended, listening to the latest findings of the leading scholar.
At the symposium, Director Zhu Shiqiang thanked Professor Pan for taking the time to share the latest research topics and developments in AI. He said that Zhejiang Symposium was a regular academic event open to young researchers, an event where experts and scholars were invited to deliver inspirational lectures on the latest developments in cutting-edge fields. As a highly influential AI expert, Professor Pan has a broad academic vision and would surely offer guidance for the future research of the lab.
Professor Pan started by discussing the recent rise of AI across the world, the structure of the industry at home and abroad and the development of AI over the past six decades and raised a series of questions that he analyzed for the audience. In his lecture, entitled “The Future of AI 2.0”, he elaborated on the history of AI, the future of AI research, and the latest developments and applications of the new generation of AI. Finally, he emphasized the importance of talents in strategic implementation.
He also pointed out that, new demands by the public and a different information environment had brought profound changes to the basic theories and goals of AI, which is causing it to move in new directions. Currently, AI 2.0 has a lot of new features, particularly the deep learning based on big data and self-play game evolution technology represented by the well-known AlphaGo. Other new technological applications are emerging, including network-based group intelligence, mixed intelligence oriented towards man-machine integration technologies, AI with cross-media reasoning and autonomous intelligent equipment.
Opportunities and challenges go hand in hand. How to create new intelligent products and application systems and how to make social governance more intelligent are urgent problems awaiting a solution. At the end of the lecture, Pan again emphasized the importance of team building and training. He proposed that government, enterprises and universities should work together and build a national team for tackling key problems in AI, more support should be given to the training of AI professionals and the establishment of the discipline, and new-generation AI research centers should be set up for government-industry-university collaborations in some provinces and municipalities, so as to boost the development of research, engineering and education.
As the Deputy Director of Academic Advisory Committee, Professor Pan appreciated what the lab had done so far. He pointed out that, as a major innovation platform aiming to become a national lab, Zhejiang Lab must make sound plans for application while specifying research areas and directions. He expected Zhejiang Lab to make significant contributions to innovation in China and become a national AI and network information lab with global influence.
After Pan’s speech, Wu Fei, leader of the advanced AI algorithm platform project, Li Jinsong, leader of the intelligent biomedical IT platform project based on multicenter cooperation, and Liu Xu, leader of the brain observation and brain-computer integration project, reported on their project implementation plans and Pan made comments.