AI产业的东方叙事为全球智能时代写下新的注脚 在全球人工智能竞争日趋白热化的当下，中国AI产业不仅在技术创新上持续领跑，更在商业化模式上探索出"中国式方案"——以丰富的场景化应用为载 体，以全域大模型技术迭代为核心支撑，正悄然重构全球AI产业的发展格局。 如今的中国AI，早已跳出技术概念的框架，深度融入生产生活的每一个角落：大模型被装进手机成为随身智能助手，嵌入供应链实现产销精准匹配，走进 医院辅助诊疗决策，扎根生产线优化制造流程，赋能城市管理提升治理效能……这些从"实验室"走向"生产生活一线"的突破，不再是孤立的技术亮点，而 是形成了"技术研发-场景落地-产业反哺"的完整闭环——这正是"中国式方案"最鲜明的特质：以场景需求驱动技术迭代，用规模化应用让AI真正赋能千行 百业。 当"中国式方案"持续改写全球AI发展逻辑，我们不禁好奇：它将如何进一步重构AI产业格局？中国AI企业又将以怎样的实践，重新定义"场景化智能"的 边界？ 8月27日，由36氪与中欧国际工商学院联合主办、中国人工智能学会支持的"2025 AI Partner百业大会"将于北京中关村软件园举办。作为36氪聚焦AI场景 端和应用端的核心IP盛会 ...

Group 1 - The core viewpoint of the news is that Zhengzhou has introduced a special policy to drive innovation in artificial intelligence (AI) through a scene-driven approach, aiming to establish itself as a national hub for AI development by 2027 [1][2][3] - The "Action Plan" sets specific goals, including the establishment of 10 innovation platforms and the creation of 20 deep integration application scenarios by the end of 2025, with the AI core industry and related industries expected to exceed 35 billion and 200 billion respectively [1] - By the end of 2027, Zhengzhou aims to develop a robust AI industry ecosystem characterized by active enterprise vitality, vibrant innovation clusters, and widespread application scenarios [1] Group 2 - Zhengzhou's focus on a scene-driven approach is based on its current strengths and development needs, as it ranks 24th in the national AI technology industry city competitiveness index, lagging behind cities like Wuhan and Hefei [3] - The city possesses rich talent and data resources, supported by a comprehensive manufacturing sector that includes 37 out of 41 industrial categories, providing ample development scenarios for AI [3][4] - The "Action Plan" emphasizes the importance of finding suitable application scenarios for AI technology, which is crucial for its maturity and market adoption [4] Group 3 - Zhengzhou is exploring the establishment of a cross-regional computing power network in collaboration with Gansu and Xinjiang, aiming to enhance its computing infrastructure [7] - The city is advancing its 5G network, currently ranking sixth in the nation with 41.34 5G base stations per 10,000 people, and is focused on building major projects like the national supercomputing center [7] - The "Action Plan" also includes initiatives for data governance and sharing, aiming to enhance public data utilization and support AI development [7] Group 4 - Zhengzhou can learn from successful models in other cities, such as Hefei's establishment of a market scene innovation promotion center, which has effectively served over 1,000 enterprises and identified more than 600 scene demands [8] - The city is encouraged to create specialized teams for scene innovation, similar to initiatives in Chengdu, to enhance collaboration across various sectors and drive industrial upgrades [8]

Group 1 - The core idea of the news is the successful collaboration between the Yangzhou Ecological Technology New City and a team of experts from top universities, which has led to significant advancements in local industry through technology transfer and talent cultivation [1][2] - The "talent + project + industry" three-dimensional linkage mechanism has facilitated over 10 university-enterprise cooperation projects and attracted more than 30 high-level talents, accelerating high-quality regional industrial development [1] - The collaboration has resulted in the establishment of a smart design system that enhances design efficiency by 30%, showcasing the effective application of academic research in practical industry settings [1] Group 2 - The team has engaged in the construction of five major specialized classes, creating a full-chain service mechanism from technology tackling to industrial landing, emphasizing the importance of transforming technological innovations into practical applications [2] - The establishment of a low-altitude economy joint laboratory and the intention to build a testing platform for integrated circuits highlight the focus on strategic emerging industries and the potential for incubating high-tech enterprises [1][2] - The introduction of a "scene-based talent recruitment" model and the establishment of a talent training base in collaboration with East China Aviation Valley demonstrate a commitment to aligning educational outcomes with industry needs, ensuring a seamless transition from education to employment [1][2]