News Agency NewsEnter the 2024 National Two Sessions. Xiaomi's official Weibo release,Lei Jun, deputy to the National People's Congress, founder, chairman and CEO of XiaomiFour recommendations to the General Assembly were prepared:Accelerate the construction of a green and low-carbon manufacturing chain;Strengthen the training of artificial intelligence talents to meet the needs of scientific and technological change;Further standardize the safety application of intelligent driving products;Increase support for intelligent manufacturing and accelerate the development of integrated advanced technologies
As the world accelerates towards the era of carbon neutrality, international "green barriers" are gradually emerging. China's manufacturing industry plays an important role in achieving the "double carbon" goal, but also faces the dilemma of the whole link of the first chain, the lack of carbon database in the domestic industry, and the pressure of low-carbon transformation of the first chain.
On accelerating the construction of a green and low-carbon manufacturing chain,Lei Jun put forward three suggestions: accelerate the establishment of a background database of carbon footprints in the manufacturing industry, and promote international convergence and mutual recognition;Support the creation of a green digital chain system to achieve collaborative connectivity within the chainExplore the establishment of a national trading mechanism for green electricity, and promote the main enterprises of the chain to lead the green transformation of the first chain.
From the long-term trend, the demand for manpower to master the basic skills of artificial intelligence in all walks of life is growing sharply, and from the perspective of the actual technical level of generative artificial intelligence in China, there is still an obvious shortage of top artificial intelligence talent reserves, and there is a shortage of artificial intelligence compound talents.
On strengthening the training of artificial intelligence talents to meet the needs of scientific and technological changeLei Jun put forward three suggestions: popularize artificial intelligence literacy education from the compulsory education stage;Vigorously promote the construction of artificial intelligence-related majors in colleges and universities;Support large-scale science and technology enterprises and education and training institutions to cultivate artificial intelligence application talents.
In order to better provide a safe and comfortable product experience to smart car users and further enhance the competitive advantage of China's automobile brands in the field of intelligent driving, it is necessary to promote the implementation of relevant regulations, standards and product supervision and management measures as soon as possible, and standardize the safe application of intelligent driving products.
Regarding further standardizing the safety application of intelligent driving products,Lei Jun put forward three suggestions: standardize the application of assisted driving functions and create a safe driving experience;Standardize the application of autonomous valet parking function to ensure the safety of unmanned scene experience;Standardize the use of vehicle-end data and improve the safety level of intelligent driving products.
At present, major countries in the world have focused on intelligent manufacturing and introduced manufacturing development strategies. In the face of the new situation and new competition, the development of intelligent manufacturing in China still has problems such as insufficient coordination and coordination of existing standards, the level of application and promotion needs to be improved, and key technologies and equipment are restricted.
On increasing the support for intelligent manufacturing and accelerating the development of integrated advanced technology,Lei Jun put forward three suggestions: promote the integration and innovation of advanced intelligent technology and manufacturing, and accelerate the deployment of industrial modelsImprove the construction of the standard system and explore the "Chinese paradigm" of intelligent manufacturingSupport leading enterprises to undertake major projects of intelligent manufacturing and tackle key technologies and equipment.
Photo: Wang Yingping).