As a typical representative of general technology, artificial intelligence is deeply penetrating various fields through intelligent algorithms and data analysis, breaking through the bottleneck of traditional industrial efficiency. Han Jian, a Sadie think tank, pointed out that the integration model of “artificial intelligence + traditional industry” has significantly improved production efficiency and product quality. For example, in process-based industries such as steel and petrochemicals, AI optimizes production parameters through real-time data, reducing energy consumption by 10%-15%, and improving the good product rate by 8%-1. 2%. At the same time, the collaborative innovation of AI, cloud computing and big data has formed a technology cluster effect. The “Wenxin Big Model + Industrial Internet” solution launched by Baidu Intelligent Cloud has shortened the process design cycle by 40% and reduced the research and development cost by 35% in the 3C manufacturing field.
At the level of social governance, the inclusive value of “artificial intelligence +” is increasingly prominent. Beijing, Shanghai and other places have optimized the timing of traffic lights through AI visual recognition technology, improving the efficiency of main roads by 25%; Zhejiang’s “Healthy Brain” platform uses the AI prediction model to reduce the misdiagnosis rate of primary medical care by 18%. Zhao Gang of Saizhi Industrial Research Institute stressed that this technology penetration not only improves the accuracy of public services, but also creates new volumes through digital consumption scenarios (such as smart retail and unmanned distribution). In 2024, the market size of China’s intelligent consumer equipment will exceed 1.2 trillion yuan, an increase of 28% year-on-year.
Industrial ecology is becoming more and more complete, and the gathering of factors releases the momentum of development
China’s artificial intelligence industry has formed a “chip-algorithm-data-application” full-chain layout. By the end of 2024, the number of domestic artificial intelligence patent applications will account for 60% of the world. Cambrian, Horizon and other enterprises have achieved technological breakthroughs in the field of edge computing chips; the multi-modal large models released by Baidu, Science and Technology University Xunfei and other enterprises are close to the international advanced level in terms of language understanding, image generation and other dimensions. The construction of the data element market has accelerated synchronously. The national industrial data center has gathered more than 50PB of data from 20 key industries, supporting Sanyi Heavy Industry and other enterprises to build “digital twin factories”, and the accuracy of equipment predictive maintenance has been increased to 92%.
With the empowerment of policies, the effect of industrial clustering is remarkable. 11 national artificial intelligence pilot zones have formed a differentiated development pattern: Shanghai Pudong focuses on AI + finance to build an intelligent risk control system; Shenzhen Nanshan relies on the hardware industry foundation to promote the industrialization of intelligent robots. In terms of financial support, the 60 billion yuan national artificial intelligence fund has invested in 43 projects, focusing on the layout of computing infrastructure and open source ecology. At the enterprise level, more than 400 “specialized and new” enterprises have achieved import substitution in intelligent sensors, industrial software and other subdivisions, among which the global market share of MEMS microphones of Suzhou Minxin Co., Ltd. has reached 15%.
The implementation of the scene becomes the key, and the government and enterprises work together to accelerate the realization of technology
“Scenario-driven” has become the core logic of artificial intelligence industrialization. Wave Cloud innovates the “front store and back factory” model. The Hairuo Model Experience Center set up in Jinan has docked with more than 200 manufacturing enterprises, landing intelligent quality inspection, process optimization and other scenarios, reducing costs and increasing efficiency by more than 30% on average; the large model factory behind it realizes data closed-loop training, so that the model is repeated. The generation cycle is compressed from 3 months to 7 days. The super intelligent matrix released by Lenovo Group has launched the “AI dual-teacher classroom” in the field of education, covering 32 provinces across the country, increasing the efficiency of high-quality educational resources by 5 times.
At the policy level, the Ministry of Industry and Information Technology has clarified the path of “application traction”: through the “unveiling the list” mechanism, open up 100 key scenarios in high-end equipment, biomedicine and other fields; establish industry empowerment centers, such as the National Institute of Intelligent Manufacturing Industry, which has output more than 200 AI solutions. Plan. Chief engineer Xie Shaofeng said that the next step will focus on promoting the application of AI in aerospace, nuclear energy and other “stuck neck” fields, while accelerating the formulation of standards in cutting-edge fields such as brain-computer interface and autonomous driving, and plans to release 50 key technical standards by 2025.
China’s path under global competition: from technology to ecological guidance
In the global AI competition, China is shifting from a single technology breakthrough to ecological system construction. The “model hegemony” model dominated by international giants such as OpenAI is facing challenges. China has created a new ecology of technology equality through open source strategy – Huawei Shengsi MindSpore has more than 4 million open source community developers, and the model downloads have exceeded 1 billion times, in visual Identification, natural language processing and other fields have formed local advantages. At the same time, the “Belt and Road” AI cooperation plan has landed 30 smart park projects in ASEAN and Central and Eastern Europe, pushing China’s mature AI + security and AI + energy solutions to the world.
Facing the challenges of ethical governance and data security, China took the lead in establishing an artificial intelligence ethics committee and issued the Interim Measures for the Management of Generative Artificial Intelligence Services to clarify the requirements of algorithm transparency and data compliance. This model of “eual emphasis on development and governance” not only leaves enough space for technological innovation, but also builds a solid bottom line of security and provides Chinese solutions for global AI governance.
Related topic:
