The plan explicitly states that by 2027, the numerical control rate of key processes in large-scale  electronic information manufacturing enterprises will exceed 85%, highlighting technological  breakthroughs in deep learning and smart manufacturing that drive comprehensive intelligent  upgrades. The application of deep learning-based automated control, intelligent sensing  technologies, and large-scale neural networks has significantly improved production efficiency and  product quality, bringing profound transformations to the industry.  

Meanwhile, the development of advanced computing platforms and industry-scale large models  enables enterprises to achieve cross-modal data processing in complex task environments,  empowering a "new engine" for smart manufacturing. These technological innovations continuously  promote integration and collaboration across the industrial chain, demonstrating strong market  competitiveness. Unlike traditional automated production lines, modern electronic information  manufacturing relies on intelligent control systems optimized by deep learning algorithms, which not  only enable precise process regulation but also drastically reduce R&D cycles and production time,  helping companies maintain a technological edge in the global market.  

Industry data shows that in 2025, the AI adoption rate in global electronic information manufacturing  has surpassed 60%, with projections to exceed 80% by 2030, making it a key driver of industrial  upgrading. Chinese enterprises continue to achieve breakthroughs in foundational AI technologies,  core algorithms, and scenario applications. In the future, the integration of emerging technologies  such as 5G, edge computing, and virtual reality will unlock richer scenarios and applications for  digital transformation in the industry, propelling it toward higher-end global value chains.  

Industry experts widely agree that the deep application of AI technology not only enhances industrial  efficiency but also leads the formulation of industry standards, establishing a comprehensive digital  ecosystem. At the same time, sustained efforts in R&D investment, technical collaboration, and talent  development provide a solid foundation for the industry’s long-term growth.  

In summary, as 2025 marks a critical milestone for electronic information manufacturing’s transition  toward smart manufacturing, the continuous breakthroughs and innovations in AI technology will  profoundly reshape the industry landscape, strengthen China’s competitive advantages in the global  supply chain, and usher in a new era of comprehensive digitalization and intelligence for the sector.