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Original title: CICC’s latest research and judgment: Smart car architecture may welcome comprehensive changes, and there will be more Chinese companies in the top five industries in the future
Source: Stock Market Red Weekly
On July 20, Yuncong Technology’s listing application was reviewed and approved. Yuncong Technology may become the first company in the “AI Four Little Dragons” to successfully go public. According to reports, SenseTime, another leading artificial intelligence company in China, is also planning to impact the listing of A+H shares.according toCICCStatistics show that by the end of 2020, 22 AI-related companies have been listed on the Science and Technology Innovation Board.
“Companies in the artificial intelligence industry continue to receive full attention in the capital market, especially after the reform of the sci-tech innovation board and the growth enterprise board registration system have created a very good financing environment for technology companies.” Peng Hu, chief analyst of the technology hardware industry of CICC Sharing at the AI-themed media conference held by Golden Company. In his view, China’s AI chip design industry is ushering in a new direction of customization, and carbon neutrality will become another important application prospect for artificial intelligence to play its role.
Chen Hao, an analyst in the technology and hardware industry of CICC, has made an in-depth analysis of the smart car industry. In his opinion, more than half of the TOP5 or TOP10 companies in the smart car field in the future will be Chinese companies. At present, in the process of automobile intelligence, the architecture has undergone a comprehensive change. The central processing chip has become the most powerful link, and the technical route of high-level intelligent driving hardware is embedded, which has left the foundation for the later OTA upgrade iteration. And this is where the strengths of Internet leaders lie, and therefore Internet companies can enter the game.
In the future, AI chips will focus on customized routes
Chinese companies are progressing fast and have a lot of room for growth
According to statistics from CICC, by the end of 2020, 22 AI-related companies have been listed on the Science and Technology Innovation Board. There are more than 20 artificial intelligence-related investment funds, and the total management scale exceeds 10 billion. It is a technology with a relatively large number of funds and scales. Subdivided areas. Deloitte statistics show that the total investment in China’s artificial intelligence market in 2020 has exceeded 170 billion, an increase of more than 70% year-on-year. The linkage between the primary and secondary markets has provided a strong financial boost for the development of the AI industry.
“The four most critical dimensions of artificial intelligence are computing power (semiconductors), algorithms, data, and terminal requirements (scenarios). The United States started early, and some technologies are still in the leading position.” Peng Hu said. But at the same time, he emphasized that domestic companies are making rapid progress in AI chip design, and a large amount of capital and talent investment has promoted the iteration of product technology, and they are quickly catching up with leading overseas companies.
In addition, he also added that chip design is showing a new development direction. In the future, AI chips may no longer only emphasize the computing power of a single chip, but judge requirements based on specific scenarios and require AI chips to achieve different effects. “For example, the built-in voice recognition chip in the headset requires lower power consumption to extend battery life. In the future, the AI chip built in smart home appliances requires only a small amount of memory to fully run the IoT operating system. All functions; on the contrary, AI chips in applications such as weather forecasting will be more inclined to require super computing power per unit of time, so a powerful computing cluster is needed to work together to improve computing power.”
Chen Hao is also optimistic about the gap between algorithms and data. He pointed out that many of the algorithms that AI technology relies on are public. A large part of the development of AI products comes from the contribution of data. Therefore, the Chinese companies that have the largest amount of data It also has more room for growth.
“AI+” innovative applications accelerate the landing in traditional industries
Improve the efficiency of smart cars and indirectly solve consumer mileage anxiety
Peng Hu emphasized that “AI+” innovative applications are accelerating their implementation in traditional industries, and are integrated with typical scenarios such as cities, manufacturing, automobiles, and electric power, and are beneficial to reduce emissions, increase efficiency, improve quality, and reduce consumption in different links in multiple industries. Try, in the future, carbon neutrality will become another important application prospect of artificial intelligence.
For example, he said that Hangzhou’s smart transportation project is a very representative example of AI assisting smart city implementation.It succeeded in optimizing traffic operation by relying on the “urban brain”, combined with meteorological, public transportation and other linksMassive Data, Predict the flow of vehicles and pedestrians in the city, and optimize the control of traffic lights. According to data from the National Information Center, after AI adjustment, Hangzhou’s city congestion ranking has dropped from the top three in 2015 to 48th in 2020, and the average road traffic speed of the traffic light automatic timing section has increased by 11%.
Chen Hao introduced how AI empowers the development of the automotive industry from the three directions of smart cockpit, smart driving and smart services. In his view, smart driving technology is committed to liberating the hands and feet of the driver, but the realization of smart driving technology will gradually increase the number of sensing units and processing units in the car. In order to enhance the interactive experience between passengers and the car, the installation of smart large screens, etc. The hardware builds an intelligent cockpit to assist the driver in processing more information and enhance the control experience. The intelligent cockpit also contains detailed functions such as intelligent lighting, intelligent sound effects, and personalized settings for driving habits and experience, which actually contains Huge market space.
Mentioning that car intelligence is still difficult to solve the problem of mileage anxiety, Chen Hao said that the application of AI is not to solve the pain points of electric vehicles, but to improve efficiency and driving experience. Higher efficiency will actually help cars improve in disguise. mileage. “We know that some bad driving habits, such as sudden oil and sudden braking, are actually a waste of energy. The use of intelligent driving will greatly improve this waste phenomenon,” he explained.
Smart cars may welcome comprehensive changes in architecture
The top five smart car companies in the future will have Chinese companies
Chen Hao pointed out that there are three obvious trends in the current development of the smart car industry. First, consumers’ attention to smart cars has risen to a whole new level. Since the second half of last year, consumers’ recognition of smart cars has increased significantly. This industry phenomenon is very similar to the initial stage of the promotion of smart phones. The penetration rate of smart cars will gradually increase in the future.
The automotive architecture has undergone a comprehensive change. Automobiles have adopted a brand-new electrical architecture in the process of developing towards intelligence. The central processing chip occupies an important position in the automobile, which may affect the future development of the entire industry. In addition, the brand-new architecture also provides new opportunities for leading Internet companies and other new car-building forces.
Intelligent driving cars are also expected to adopt embedded high-level hardware, leaving room for later OTA upgrade iterations. In the future, smart cars will be able to continuously upgrade their software and hardware through OTA, realizing the iteration from Level2 to Level4.
“In the future, there will be more Chinese companies in the TOP5 or TOP10 companies on the smart car track,” Chen Hao said in anticipation. He further explained that although it is difficult to judge specific companies in the short term, Chinese companies have strong overall capabilities. Potential, the future can be expected.
Third, the friendliness of the capital market has greatly improved, and the financing of related companies has become smoother.
Peng Hu added: “We maintain a relatively optimistic attitude towards the entire track. Similar to the Chinese mobile phone industry, the rise of China’s AI industry can be said to be another successful case. Although there may be repetitions in the development of the industry, we believe that China’s AI industry The prospects for development are broad.”
He explained that this is not only because of the continuous investment of domestic related companies in technological innovation, national policy support is in place, the domestic upstream and downstream industrial chain is complete, and all links from chips to algorithms to systems and application scenarios have been formed. Very good synergy.
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