Intelligent workshops, AI quality inspection, autonomous driving, voice interaction, service robots, and various artificial intelligence applications have entered production and life, serving thousands of households, making positive progress in technological innovation, industrial ecology, and other aspects. According to data released by the China Academy of Information and Communications, the scale of China's artificial intelligence core industry reached 508 billion yuan in 2022, an increase of 18% year-on-year. Experts believe that artificial intelligence is an important driving force for the new round of technological revolution and industrial transformation. Accelerating the development of the new generation of artificial intelligence is a strategic issue related to whether China can seize the opportunities of the new round of technological revolution and industrial transformation. The "China Intelligent Manufacturing" scene innovation assembly line features robotic arms waving and flipping, intelligent transportation robots automatically shuttling, and the numbers recording product information constantly pulsing on the screen. Entering the Guangdong Galanz Digital Intelligence Base, a dynamic "Digital Intelligence" scene emerges: each production line has more than 10 robots, digitally controlled by computers, which can instantly switch between different working modes. "In the past, manual coordination and communication between various workshop departments were required from receiving orders to shipping, which made it difficult to quickly respond to the market. In addition, customers from outside Shanghai have increasingly detailed personalized requirements for batch products, making it difficult to provide personalized customized services for production and operation processes. In recent years, Glanz has explored digital transformation and opened up all aspects of the industrial chain through digital empowerment. From market orders to completing production, a microwave oven used to require 20 "Over days, the process can now be shortened to 7 days, with a 40% improvement in labor efficiency, and a 67% reduction in order delivery time." The relevant person in charge of Galanz Group said. In Guangzhou's GAC Honda factory, traditional quality inspection mainly relies on "human eyes+experience". First, two large mirrors are placed in the front and rear of the vehicle under inspection, and then a quality inspector sits in the vehicle to observe the four mirrors. While overcoming light interference, experience is used to identify different vehicle types and their matching lights, and then paper forms are used to manually register the test results. Now, with the help of Baidu AI Cloud "Kaiwu", GAC Honda has installed 7 ball cameras on the production line, and started all-round inspection, showing accurate, fast and comprehensive quality inspection results. For example, for more than 20 types of lights on a single vehicle model, the system can synchronously capture and calculate 120 detailed images through 7 cameras, and the entire detection process only takes a few seconds. In response to the demand for industrial digital transformation and upgrading, Tencent provides artificial intelligence solutions that have been implemented and applied in industries such as industry, manufacturing, media, culture and tourism, and finance. The Ministry of Industry and Information Technology recently released the "2022 Industrial Internet APP Excellent Solution List", and Tencent's "Industrial Quality Inspection APP Solution" was selected. "AI product testing capabilities exceed the manual level, enabling continuous and stable work throughout the day, and the testing efficiency is improved by 10 times compared to manual quality inspection, which can save labor costs for manufacturing enterprises," said the relevant person in charge of Tencent. The above examples epitomize the significant improvement of China's AI innovation capability. "AI technology is continuously evolving in the direction of pursuing higher accuracy, challenging more complex tasks, and expanding capability boundaries. Scenario innovation has become a new path for AI technology upgrading and industrial growth." Zhao Zhiyun, director of the China Institute of Science and Technology Information, believes that human beings