On October 29th, at the 2017 Future Science Awards Ceremony and Future Forum Annual Meeting held today, Li Yongfei, a tenured professor of computer science at Stanford University, director of artificial intelligence laboratory, and chief scientist of Google Cloud artificial intelligence and machine learning, Dawn SONG, Professor of Computer Science, University of California, Berkeley, founder of JingChi Corp., former Senior Vice President of Baidu, General Manager of Automated Driving Division, Wang Jin, Associate Professor of Electronic Engineering, Tsinghua University, Wang Yu, Professor of Hong Kong University of Science and Technology, Institute of Electrical and Electronics Engineers Academician (IEEE), Academician of the International Association for the Promotion of Artificial Intelligence (AAAI) Yang Qiang, Deputy Director of the Department of Computer Science and Technology of Nanjing University, Academician of the International Computer Society (ACM), Academician of the Institute of Electrical and Electronics Engineers (IEEE), and International Association for the Promotion of Artificial Intelligence ( Academician Zhou Zhihua of AAAI) shared relevant topics at the scene.
Science and technology also acted as a strategic partner to broadcast live on the future forum, and also made a simple review of the dialogue and discussion issues:
Q: How do you see the opportunity to combine AI and car?
Wang Jin: The car is facing a very big opportunity. China, the United States, Germany and Japan are engaged in comprehensive competition. One is competition for technology and talent, the other is competition for industry, and the third is competition for laws and regulations at the national level and acceptance of the people. From an application point of view, AI has many applications in the automotive field, not just automatic driving.
Q: What is the pattern of talent competition in the US market?
Li Feifei: Four words can be summarized, the world is scarce, this is a problem of golbal. In the academic world, I have been advocating the need to invest more in basic education and research. Although we have seen some exciting effects and scenes, there is still a long way to go. Without increasing support, There is a crisis. In the industry, because I am in Google, I also saw Google’s emphasis on talent. We have always emphasized the visualization of AI, and we are also encouraging the growth of AI talent from all aspects.
Dawn SONG: On the one hand, everyone sees the scarcity of workers and AI talents, and the business community and the academic community should work together to cultivate talents. In addition, the reason why we have various problems now, our understanding of AI and deep learning is not enough. Such problems may be less of a concern in the corporate world, but in the long run, it has a great impact on the application of AI around the world. For the entire emerging field in the corporate or academic world, a lot of research and a lot of investment are needed.
Q: If you compare with the development of the Internet, what kind of node is the AI ​​in today's era, may it be in the stage of Internet development in 1995?
Zhou Zhihua: Actually, from the academic point of view, artificial intelligence is not an outbreak, but a little bit ahead. This is the period in which the development results of the past 20 years have been concentrated.
Wang Jin: Whether I am in a company Baidu or the current company JingChi Corp, I can see the demand for AI talents, and compared with foreign countries, China needs AI talents.
Li Feifei: I especially want to remind everyone: AI is a science with only 60 years. Intelligence is a particularly profound topic. We look at the development of modern physics in the past few hundred years. Newton’s significance to physics, if viewed from this perspective, Artificial intelligence has not yet reached Newtonian mechanics, whether it is an algorithm or other problems. Recently, I have been thinking about whether we are in the era of the Galli era or the understanding of the ruins... How many steps have been taken and are still developing. So from the perspective of artificial intelligence, I look at this field with a very humble i heart. From a scientific point of view, any science is crossed to a certain extent.
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