Baidu layout of the yuan universe, Robin Li: training 5 million AI talents in five years

2021-12-28

Baidu, an Internet giant that has been deeply cultivated in the field of artificial intelligence for many years, has focused on the meta universe. On December 27, Baidu create 2021 (Baidu AI Developer Conference) was held in the "Xi soil" app, which is the first conference held in the meta universe in China. The birth of the "Xi soil" app is an important symbol for Baidu to test the water and enter the meta universe. It is also the first "domestic meta universe" product in China. It is reported that NVIDIA and blue cursor have reached a cooperation agreement with Baidu "Xi soil" to build the meta universe. According to the Research Report of CITIC Securities, the ultimate form of metauniverse is the synthesis of a series of "connecting points into lines" technological innovation. The next 3-5 years will be the embryonic exploration period of metauniverse, and progressive technological breakthroughs and business model innovation in VR, AR, NFT, AI and other fields will emerge one after another. Insiders also told times Finance: "metauniverse is the integration of these large base bottom layers at the technical level. Baidu's layout in metauniverse should focus on the improvement and integration of AI, VR and other technologies." In fact, today's hot universe is only part of the AI application scenario. Baidu founder, chairman and CEO Robin Li said at the conference that the era of human-computer interaction is coming, and that creators will usher in the golden 10 years of Chinese AI. AI will become a powerful tool to change the world. "Traffic and purchase restrictions are not required in 5 years, and congestion will be basically solved in 10 years" In this meta universe conference, artificial intelligence, as one of the basic technologies for the realization of meta universe and Baidu's technical field for many years, has naturally become the focus of people. According to official disclosure, Baidu's daily consumption of brain has exceeded 1 trillion times. Among them, the propeller deep learning platform, Kunlun chip, as well as core AI technologies and platforms such as voice, vision, knowledge atlas and natural language processing, have become a new infrastructure to help all walks of life. Robin Li believes that Baidu brain provides AI toolbox for creators, and has become the technology "big base" for intelligent transformation of industries. It is reported that Baidu deep learning platform has gathered 4.06 million developers, served more than 157000 enterprises and institutions, and created 476000 models; The self driving travel service platform "turnip express" will expand to 65 cities in 2025 and 100 cities in 2030; Jidu's first car robot will also appear in 2022 and be mass produced in 2023. In many application scenarios, baidu sees the importance and feasibility of intelligent transportation. Robin Li said: "intelligent transportation will be a major change that will affect the next 10-40 years". According to his judgment, intelligent transportation can solve three major problems: first, reduce 90% of road safety accidents. Second, the system solves the problem of congestion. Third, autonomous driving and intelligent transportation can help reduce carbon emissions. Meanwhile, with the AI technology entering the industrial boom, Robin Li believes that this will make China's first tier cities no longer need to purchase and limit the industry within 5 years, and basically solve the congestion problem within 10 years. "When all intersections in a city have realized intelligence and urban level regional information control optimization, the traffic efficiency can be improved by 15% - 30% He said. Robin Li also revealed that Baidu's "self driving travel service", a city's other important city in the field of intelligent transportation, will expand to 65 cities in 2025 and expand to 100 cities in 2030. At the same time, the focus car with special attention from the outside world will also be unveiled in 2022, and mass production will be realized in 2023. The application of artificial intelligence has entered the aerospace era. Baidu plans to train 5 million AI talents in five years In addition to the daily application scenarios in various industrial fields, the application boundary of artificial intelligence technology is still expanding infinitely. Recently, baidu also reached a strategic partnership with China's lunar exploration and aerospace project. The two sides will carry out cooperation in aerospace technology and artificial intelligence technology in the field of deep space exploration, including lunar exploration and planetary exploration. On the scene of the conference, Ouyang Ziyuan, a famous astrochemist and geochemist, the first chief scientist of China's lunar exploration project and academician of the Chinese Academy of Sciences, said that China's deep space exploration has made great achievements. In the future, the establishment of a lunar scientific research station, the realization of manned landing on the moon, and going to Mars and more distant deep space will be the next step of China's aerospace. AI will be deeply integrated with aerospace and play a great role. Relying on a large number of demands and application scenarios of artificial intelligence technology, the talent demand of AI technology is still an important problem. At the meeting, Robin Li awarded Baidu scholarships to 10 outstanding young students. The scholarship was set up in 2013 to encourage China's students in the field of artificial intelligence, who have great potential and huge potential. Now they have invested nearly 20 million yuan in special funds. According to Baidu's official data, the company has trained more than 1 million artificial intelligence talents for the society. Robin Li further said: "Baidu will continue to promote AI talents training in the future, and train 5 million AI talents for the society in five years." "A new artificial intelligence society is coming. I have always had firm confidence in it." Robin Li said. (Xinhua News Agency)

Edit:Li Ling    Responsible editor:Chen Jie

Source:Time News

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