China News Service, Beijing, April 9 (Reporter Sun Zifa) What is the relationship between artificial intelligence (AI) technology and other technologies in the application field? Li Guojie, academician of the Chinese Academy of Engineering and former director of the Institute of Computing Technology of the Chinese Academy of Sciences, gave an image answer on the 9th that artificial intelligence is the cheese on the cake, "We always say not to move my cheese, but (should) not move. Cakes, you should think of cakes more seriously. "
The academic department of the Chinese Academy of Sciences, the China Science News, and the Tencent Science Association jointly launched the second phase of the Frontier Technology Forum on the same day. Academicians Li Guojie and other experts and scholars carried out online videos around the theme of "Artificial Intelligence: A New Engine for the Integration of Technology and Economy" Online seminar exchange.
Artificial intelligence is the cheese on the cake
Li Guojie pointed out that the application of artificial intelligence technology that performed well during the new coronary pneumonia epidemic, such as non-contact automatic temperature measurement, epidemic tracking, automatic question answering by computers and residents in the outbreak investigation, are mostly application scenarios with more data accumulation in the past However, due to the lack of sufficient labeled data for the detection of the spread of the spread of the virus and the traceability of the source of the virus, the effect is worse.
He put forward two suggestions for the direction of future development of artificial intelligence: one is to attach great importance to "soft infrastructure" and vigorously build a shared artificial intelligence training platform, basic data platform and soft and hard tool chain; second, to distinguish basic research on artificial intelligence The two different goals and tasks of artificial intelligence application should emphasize technology integration and solve practical problems in application and industrial development.
"Don't treat artificial intelligence as a separate technology development, don't think that artificial intelligence is the boss, it's not like this, it's the other way around, and many of them are combined with artificial intelligence." Li Guojie stressed in response to media questions that artificial intelligence is on the cake Cheese, make the cake heavier.
Shiguang Shi, a researcher at the Institute of Computing Technology of the Chinese Academy of Sciences, also believes that when artificial intelligence is combined with industry, it is all industries plus AI, not AI plus all industries. "If you really want to apply AI technology to the industry, you need a lot of industry support and how to apply it. It is used in existing systems. "
AI infrastructure includes software and hardware smartware
At the forum, Shan Shiguang also made a report under the title of "AI Innovative Software and Hardware Infrastructure". The infrastructure in the AI era includes hardware, software, and smartware. However, the existing AI methodology is not enough to support AI capabilities. upgrade. In terms of current AI application research, the gap between China and the US and Europe is not large, but the gap in AI basic research and infrastructure should not be underestimated.
People are generally familiar with software and hardware. What are smartware? Shan Shiguang introduced that the AI smartware infrastructure is mainly composed of three parts: "AI algorithm, model and technology and its development to the AI smartware center", "national knowledge system" and "big data center".
He said that in addition to long-term investment in basic algorithms, research on basic smartware systems should also be strengthened. In the past, there were computing centers and data centers in hardware. In the future, it is necessary to establish AI algorithm centers and knowledge centers that strengthen the research of basic smartware systems, and National knowledge center, human knowledge center (general knowledge + domain knowledge) and machine knowledge center (AI algorithm and model center).
AI is coming from application to application
At the forum on the same day, many experts and scholars also conducted discussions on the application and development of artificial intelligence. Researcher Wang Jinqiao of the Institute of Automation, Chinese Academy of Sciences pointed out that it is necessary to grasp the boundaries of artificial intelligence applications, strengthen artificial intelligence governance, and prevent the abuse of artificial intelligence technology and related legal issues. Cao Cungen, a researcher at the Institute of Computing Technology of the Chinese Academy of Sciences, believes that AI can play a role in social governance, and the state should uniformly deploy some large AI public service facilities.
Peng Silong, a researcher at the Institute of Automation of the Chinese Academy of Sciences, said that how to enable low-end traditional industries to achieve intelligent upgrades at the lowest cost may be a very important direction for the future development of artificial intelligence.
"AI has to come from the application to the application." Huang Junzhou, director of Tencent AI Medical Center, said that at present, many industries have not prepared the data needed for deep learning. At this time, algorithms should be developed similar to transfer learning and self-learning. Wait for new methodologies, at the same time accumulate experience and combine with new knowledge in the industry.
Li Xiuquan, a researcher at the China Academy of Science and Technology Development Strategy, believes that the construction of new artificial intelligence infrastructures such as public AI computing power, open platforms, and knowledge centers should not only help the landing of technology and accelerate technological breakthroughs, but also play a role in promoting the development of shared sharing among different groups. Important roles include improving the conditions for innovation of small and medium-sized enterprises and entrepreneurs, improving the intelligent infrastructure in underdeveloped areas, and making intelligent transformation towards inclusive development and shared development. (Finish)