党的二十届四中全会提出，"全面实施'人工智能+'行动"。"四川数据资源丰富、产业体系完备、 应用场景广阔，加快推动人工智能赋能新型工业化大有可为。"省经济和信息化厅相关负责人介 绍。2024年，全省人工智能产业营收超1300亿元，同比增长超25%，智能化发展底座坚实。 行动方案明确了四川推动人工智能赋能新型工业化的阶段性目标。具体而言，到2027年，全省规 模以上工业企业实现数字化转型全覆盖，打造50个以上数字产业园区，培育90家以上人工智能领 域国家制造业单项冠军企业、专精特新"小巨人"企业等。 行动方案提出5大重点任务，涉及强化科技研发创新、产品迭代升级、场景应用牵引、治理机制构 建、产业生态打造等方面，并细分为18项子任务。 ●到2027年，全省规模以上工业企业实现数字化转型全覆盖，打造50个以上数字产业园区，培育 90家以上人工智能领域国家制造业单项冠军企业、专精特新"小巨人"企业等 比如，在强化智能化技术科技创新上，四川将加快构建人工智能全链条自主创新体系，每年重点 支持高水平智能软件、硬件技术攻关，按照项目总投资，给予最高50%、不超过1000万元资金支 持。重点攻关的方向，则包括预训练大模型、高 ...

川观新闻记者 文露敏 12月30日，川观新闻记者从四川省人民政府网站获悉，近日，《四川省人工智能赋能新型工业化三年行 动方案（2025—2027年）》（以下简称《行动方案》）印发，提出强化智能化技术科技创新、促进智能 产品研发升级等5大重点任务，加快推进人工智能赋能"15+N"重点产业链建圈强链，推动制造业智能 化、绿色化、融合化发展。这也是西部首个从省级层面明确推动人工智能在新型工业化领域应用的文 件。 聚焦场景赋能，四川还将着力破解人工智能与工业融合不深、推广应用碎片化等问题，包括每年将面向 社会和企业主动开放20个以上应用场景，推动垂直大模型在工业产品设计、生产管理、运营维护等领域 应用与迭代升级。此外，在构建基础级、先进级、卓越级、领航级智能工厂梯度培育体系的基础上，四 川还将实施培育未来工厂行动，推动人工智能新技术驱动流程再造。 在打造高质量产业发展生态上，四川将强化"算力-网络-数据"基础设施支撑，加快建设全国一体化算力 网络成渝国家枢纽节点（四川），实现省级以上产业园区万兆光网全覆盖。 【未经授权，严禁转载！联系电话028-86968276】 《行动方案》明确了四川推动人工智能赋能新型工业化的阶 ...

如果您希望可以时常见面，欢迎标星收藏哦~ 今天（30日），《2025中国制造强国发展指数报告》《中国制造业重点领域技术创新绿皮书—技 术路线图（2025）》发布会在北京召开。 点这里加关注，锁定更多原创内容 *免责声明：文章内容系作者个人观点，半导体芯闻转载仅为了传达一种不同的观点，不代表半导体芯闻对该 观点赞同或支持，如果有任何异议，欢迎联系我们。 推荐阅读 10万亿，投向半导体 芯片巨头，市值大跌 黄仁勋：HBM是个技术奇迹 Jim Keller：RISC-V一定会胜出 全球市值最高的10家芯片公司 喜欢我们的内容就点 "在看 " 分享给小伙伴哦~ 未来十年是制造强国建设"第二步走"的关键时期，要把发展制造业作为党和国家的长期战略，牢牢 确立实体经济在国民经济中的重要地位，保持制造业合理比重，推进制造业提质增效与转型升级， 坚持以创新为根本动力，突出工业强基重要战略地位，加快人工智能赋能新型工业化，构建绿色能 源体系与绿色制造体系，实现到2035年，我国基本实现新型工业化，迈入世界制造强国前列。 （来源 ：央视新闻微信公众号 ） 《报告》显示，2024年，我国制造业顶压前行、向新向优，制造强国发展指数与德 ...

Group 1 - The core viewpoint of the article is that China has made significant progress in its manufacturing sector, achieving a position among the world's leading manufacturing countries by 2024, alongside Germany and Japan [1] - The report indicates that the manufacturing power development index for China has shown positive growth across all sub-indices, marking a successful first step towards becoming a global manufacturing powerhouse [1] - The next decade is identified as a critical period for advancing manufacturing capabilities, emphasizing the need for innovation, quality improvement, and transformation within the sector [1] Group 2 - The report outlines that by 2035, China aims to achieve a new type of industrialization and rank among the top manufacturing countries globally [1] - It stresses the importance of maintaining a reasonable proportion of manufacturing in the national economy and enhancing the role of the real economy [1] - The strategy includes accelerating the integration of artificial intelligence into industrialization and developing a green energy and manufacturing system [1]

中新网北京12月30日电 (记者 孙自法)中国工程院12月30日在北京发布的《2025中国制造强国发展指数 报告》显示，2024年，中国制造强国发展指数与德国和日本处于同一区间，各分项数值均实现正增长， 进入全球制造强国第二阵列。同时，中国的世界第一制造大国地位持续巩固。 来源：中国新闻网 从总体上看，2024年中国正以创新为根本动力，在持续巩固世界第一制造大国地位的基础上，扎实推进 制造业高质量发展，效果初现。 《2025中国制造强国发展指数报告》在北京发布。中新网记者 孙自法 摄 《2025中国制造强国发展指数报告》展望称，未来十年是中国制造强国建设"第二步走"的关键时期，要 把发展制造业作为长期战略，牢牢确立实体经济在国民经济中的重要地位，保持制造业合理比重，推进 制造业提质增效与转型升级，坚持以创新为根本动力，突出工业强基重要战略地位，加快人工智能赋能 新型工业化，构建绿色能源体系与绿色制造体系，实现到2035年，中国基本实现新型工业化，迈入世界 制造强国前列。 据悉，"制造强国发展指数"由中国工程院战略咨询中心、中国机械科学研究总院集团有限公司、国家工 业信息安全发展研究中心共同研编，自2015年起 ...

Core Insights - The Chaoyang District has launched an AI-enabled supply-demand matching service platform aimed at enhancing industrialization through digital solutions [1][2] - The platform serves as a digital bridge for enterprises, facilitating efficient matching between supply and demand in the manufacturing sector [1] Group 1: Platform Features - The platform is designed as a website focused on service delivery and precise matching [1] - It offers four main services: efficient aggregation of supply-demand resources, promotion of typical cases, effective certification of supply-demand information, and acceleration of precise matching between supply and demand enterprises [1] - Eight functional modules have been established, including resource aggregation, precise matching, enterprise profiling, and event publishing [1] Group 2: Technological Integration - The platform incorporates large models and retrieval enhancement technology to develop an industrial intelligent Q&A assistant [2] - This assistant accurately interprets user intent and improves the efficiency and accuracy of resource searches [2] - The platform has also introduced an intelligent supply-demand matching workstation, transitioning from traditional "tag comparison" to "content understanding" for better matching [2] Group 3: Operational Mechanism - The platform actively collaborates with AI-enabled industrialization initiatives to facilitate supply-demand matching activities [2] - It aims to create a synergistic loop of supply-demand collaboration through both online and offline channels [2] - The service network covers 31 provinces, with over 100 typical scenarios for supply resources, demonstrating significant empowerment effects in supply-demand matching [2]

今年8月，国务院发布《关于深入实施"人工智能+"行动的意见》，标志着"人工智能+"自2024年首次写 入政府工作报告以来，已进入全面深度实施阶段。 人工智能是引领新一轮科技革命和产业变革的战略性技术，种种迹象显示，最强地级市苏州正在大 举"押注"人工智能（AI）。 11月6日，江苏省委书记信长星在苏州调研人工智能产业。他指出，苏州在人工智能领域已经形成较好 基础，要瞄准前沿技术和细分领域，扎实推进科技创新、产业发展和应用赋能，引领生产方式、消费模 式变革，加快打造人工智能产业高地。 5天后，11月11日，江苏省省长刘小涛出席在苏州举行的2025江苏人工智能创新发展大会暨首届人工智 能OPC（一人公司）大会时谈到，人工智能是江苏"十五五"时期必须聚焦发力的方向，将发挥优势、因 地制宜，以良好生态竞逐人工智能新赛道。 11月15日，刚刚到任的苏州市委书记范波首次专题调研，同样关注人工智能。在我国科创板首家上市企 业苏州华兴源创，范波勉励企业抢抓人工智能等重大机遇，不断提升企业核心竞争力，努力为苏州服务 全省挑大梁贡献企业力量。 高层领导的密集行动，传递出苏州全力布局AI的明确信号。令外界关注的是：杭州、深圳等城市 ...

Core Viewpoint - The Ministry of Industry and Information Technology (MIIT) of China has initiated a project to promote the integration of artificial intelligence (AI) into new industrialization, focusing on key areas such as AI industry development, "AI + manufacturing," and intelligent product equipment [2][4]. Group 1: Task Content - The initiative aims to discover and cultivate a batch of key technologies and products that are strong in technological innovation, quick in application, and exemplary in demonstration, accelerating the deep integration of AI with industry [5]. Group 2: Recommendation Conditions - Applicants must be legally registered entities within China and cannot reapply for projects that have already been recognized in previous rounds. Recommendations should prioritize projects with outstanding innovation capabilities and good industrialization prospects [7]. Group 3: Work Requirements - Applicants are required to register and submit materials by November 20, 2025. Recommendation units must confirm their recommended lists by November 30, 2025, with specific limits on the number of projects that can be recommended by different regions and entities [9][10]. Group 4: Support for Winning Units - Local governments are encouraged to leverage their development advantages to provide support in terms of policy funding, scenario opening, and application promotion for the winning units [11].

Core Insights - The article emphasizes the rapid development of China's artificial intelligence (AI) industry, positioning it among the top global players, with projections indicating that the core AI industry will exceed 900 billion yuan by 2024 and the number of AI companies will surpass 5,000 [1] Group 1: Key Areas for Development - Accelerating breakthroughs in key core technologies is essential for gaining an advantage in the AI field, focusing on foundational technologies such as computing power, algorithms, and data [2] - The manufacturing sector is identified as the primary battlefield for AI applications, with plans to enhance the policy framework and implement specific actions for AI integration in manufacturing [3] - Emphasis on nurturing leading AI enterprises, supporting both large and small companies to innovate and develop, thereby creating globally influential firms [4] Group 2: Industry Environment Optimization - The article highlights the need for increased financial support and the role of national AI industry investment funds to attract long-term investments in hard technology [4] - It calls for the establishment of national manufacturing innovation centers in the AI sector to enhance the supply of critical common technologies and foster collaborative development [4]

Core Insights - Artificial intelligence (AI) is recognized as a crucial driver of the new technological revolution and industrial transformation, with a strong emphasis on self-reliance and application-oriented development [1][2][3] Group 1: Importance of AI in Industrialization - AI is identified as a strategic technology leading the current technological revolution and industrial transformation, with significant implications for global technological competition and industrial optimization [2] - The integration of AI with the real economy, particularly manufacturing, is deemed essential for success [2] Group 2: Key Tasks for AI Empowerment - Continuous strengthening of foundational research and focusing on core technologies such as high-end chips and basic software is emphasized [3] - The establishment of a collaborative innovation system involving enterprises, academia, and research institutions is crucial for upgrading traditional industries and developing new strategic industries [3] Group 3: Pathways for AI Empowerment - Deep integration of AI technology and industrial innovation is necessary, with a focus on market-driven technological development [4] - A robust governance mechanism for AI is essential to ensure safety and security while promoting industrial strength [4] Group 4: Progress in AI Industry - China's AI industry is projected to exceed 900 billion yuan by 2024, with over 5,000 AI companies and more than 400 national-level specialized "little giant" enterprises [5][6] - Significant advancements in computing power and data resources have been made, with over 35,000 high-quality datasets established [6] Group 5: Optimizing the AI Ecosystem - The establishment of a comprehensive standardization system for AI is underway, with nearly 200 standards expected to be developed by 2025 [7] - A national AI industry investment fund of 60 billion yuan has been launched to support the sector [7] Group 6: Fostering AI Advantageous Enterprises - Support for leading enterprises in AI innovation and the development of small and medium-sized enterprises is crucial for creating a robust ecosystem [11][12] - The focus is on enhancing the development environment for AI, including standardization and funding support [12] Group 7: Strengthening Safety and Governance - The importance of balancing development and safety in AI is highlighted, with a focus on enhancing technical safeguards and ethical governance [12][13] - The establishment of a monitoring system for AI safety risks is essential for ensuring responsible development [12]