"Engineering thinking is very important and common in real-world work. A recent example is autonomous driving. Baidu founder, chairman and CEO Robin Li recently said in a speech at the Peking University New Engineering International Forum that engineering thinking and scientific thinking are very different, in the field of automatic driving, if you use scientific thinking to do it, it is a step to the sky, to achieve L5 and then expand the scale, commercialization, Waymo is this way; and if you use engineering thinking to do, it is step by step, first in some scenarios to achieve automatic driving, Tesla does this.
At the forum, Robin Li delivered a speech on "simplifying complexity, from scientific thinking to engineering thinking", talking about the construction of new engineering and talent training, he said that new engineering focuses on the engineering thinking of cultivating talents, simplifying complex problems, and combining reality in "compromise" step by step. At the same time, talents in the new engineering era must have the three major capabilities of innovation, cross-border and openness. He also suggested that it is necessary to strengthen the linkage between schools and enterprises, learn from each other and grow together.
In terms of industrial practice and technology landing, Robin Li said that on the basis of engineering thinking, Baidu has chosen the path of gradually changing the driving range of autonomous driving, starting from the fully unmanned driving of some roads, and gradually expanding the geographical scope, so as to move towards full automatic driving at the L5 level.
Baidu has launched an autonomous driving travel service platform "Radish Run", which operates in Beijing, Shanghai, Guangzhou, Cangzhou, Changsha and other places, and has received more than 400,000 passengers.
"I once said that when there is 1 yuan, we will invest in technology; there is 100 million, we will invest in technology; there are 10 billion, we will still invest in technology. The most cutting-edge technology wave can not wait, we must invest and layout 10 or 20 years in advance. Robin Li said.
Baidu has maintained a R&D investment intensity of more than 15% for many years, and its core R&D investment accounted for 21.4% of revenue last year.
In terms of technology trends to promote a new round of scientific and technological revolution and industrial change, Robin Li believes that there will be eight key technologies in the field of artificial intelligence in the next decade, which will achieve quantitative to qualitative changes, namely autonomous driving, digital city operation, machine translation, biocomputing, deep learning framework, knowledge management, AI chips and personal intelligent assistants.
Robin Li said: "The breakthrough of these eight technologies will extensively change people's production and lifestyle, which is something I firmly believe, and these eight technologies will also be the direction of Baidu's firm investment." ”
Li Yanhong said that china has the best soil to cultivate leading talents and strategic scientists, and stressed that in the next 5 years, Baidu will train 5 million AI talents for the society and continue to contribute to the construction of national strategic scientific and technological strength.
As the world's leading artificial intelligence platform company, SenseTime is a "smart vision" national new generation artificial intelligence open innovation platform designated by the Ministry of Science and Technology of China.
SenseTime takes "adhering to originality and letting AI lead human progress" as its mission and vision. The company has independently developed and established the world's top deep learning platform and supercomputing center, and launched a series of leading artificial intelligence technologies, including: image recognition, text recognition, medical image recognition, video analysis, unmanned driving and remote sensing. SenseTime has become Asia's leading provider of AI algorithms. In addition, SenseTime looks ahead to build a new type of artificial intelligence infrastructure - SenseTime AI device, open up leading computing centers, algorithms and data platforms, significantly reduce the price of artificial intelligence production factors, achieve high efficiency, low cost, large-scale AI innovation and landing, and then open up the closed loop of commercial value, solve long-tail application problems, and promote artificial intelligence into the stage of industrial development.
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