In recent years, China's informatization level has increased significantly. With the maturity of the Internet and the rapid development of artificial intelligence technology and applications, it has also brought about a more lasting and profound thinking impact and change. This new thinking is manifested in how to create new value in a new dimension based on data driven.
On February 11, China Internet Network Information Center (CNNIC) held the 2017 Internet Basic Resources Series Technical Report Conference in Beijing. At the meeting, CNNIC and the Chinese Academy of Sciences Science and Technology Strategy Consulting Institute released the "Blue Book of China's Artificial Intelligence Innovation and Development". Professor Yu Jiang, a researcher at the Science and Technology Strategy Consulting Institute of the Chinese Academy of Sciences, introduced the main contents of the report.
Professor Yu Jiang, a researcher at the Science and Technology Strategy Consulting Institute of the Chinese Academy of Sciences, introduced the main contents of the report.
Yu Jiang mentioned that the rapid development of artificial intelligence technology and applications has brought about changes from “internet thinking†to “artificial intelligence thinkingâ€. Compared with the openness and participation emphasized by Internet thinking, the improvement of productivity in artificial intelligence thinking is mainly reflected in more efficient and larger scale to meet diversified needs. The transition from "people looking for information" to "information looking for people" is an example.
"People looking for information" means that users in the Internet era search for the resources they need in a huge amount of information through various search tools. Users will generate data every time they click, forward, collect, and other network activities.
These data record very personal behavioral data, and comprehensively evaluate users through the integrated analysis of these data, and push the information resources of interest to users according to user preferences. This has realized the transformation of “people looking for information†to “information looking for peopleâ€.
The core value of data-driven artificial intelligence thinking is the ability to continuously and efficiently extract knowledge and learn knowledge from data. This is also a new insight into the information and capabilities of information. “Exploring to create new value in the new value latitude, rather than simply innovating cost-effectiveness around the application of massive users, as in the past.†Yu Jiang stressed.
Yu Jiang said that the report jointly issued by the Chinese Academy of Sciences and CNNIC is more concerned with the development of artificial intelligence, global depth and policy forward-looking compared with related artificial intelligence reports issued by other institutions.
In an interview with a reporter from the future network, Yu Jiang also said, “Compared with other reports related to artificial intelligence, we have invested more. There are thousands of Chinese Academy of Sciences experts in the field of production and research have conducted two rounds of investigations. In the forefront, we also list ten artificial intelligence technologies that will be critical to China in 2030."
It is reported that the report is based on the analysis of current situation and trend of China's new generation of artificial intelligence related discipline development, theoretical modeling, technological innovation, software and hardware upgrades, and the development of artificial innovation in the field of artificial intelligence in the context of globalization. Strategy, identify the key technologies supporting the future development of artificial intelligence and intelligent society in China, deeply analyze potential threats and challenges, further promote the in-depth understanding of the development trend and law of artificial intelligence and value norms, and attract global innovation resources to participate in China with a more open platform. The development of artificial intelligence, and put forward operational policy recommendations, around the new stage of China's artificial intelligence development, foster new competitive advantages and tap new potential for development.
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