Group 1 - The core viewpoint of the articles highlights the significant development opportunities for Guigang City due to the accelerated construction of the Pinglu Canal Economic Belt, focusing on high-quality industrial transformation and upgrading [1] - Guigang City aims to implement a three-year action plan for industrial transformation, targeting the establishment of a "6+5" industrial system, which includes six major industrial clusters and five characteristic industries [1] - In the first half of 2023, Guigang's industrial output value increased by 7.7%, and the added value of industrial enterprises rose by 9.7%, with manufacturing investment growing by 13.3%, all surpassing national and regional growth rates [1] Group 2 - Guigang City has signed 26 new artificial intelligence projects in 2023, with a total investment of 13.34 billion, and established seven new autonomous factories, enhancing the integration of technology and industry [2] - The city is optimizing its industrial structure by introducing new industries such as PCB electronics and implementing numerous projects aimed at upgrading traditional industries, with 53 "Double Hundred and Double New" projects and 188 "Thousand Enterprises Technology Reform" projects [2] - Guigang has one industrial cluster exceeding 50 billion and four clusters exceeding 10 billion, with several recognized as national and regional advanced manufacturing clusters [2] Group 3 - The city is enhancing its development environment by streamlining administrative processes, reducing processing times by 65%, cutting steps by 71%, and minimizing application materials by 70% [3] - Guigang has introduced 428 industrial projects in 2023, with a total contractual investment of 202 billion, demonstrating a strong commitment to fostering industrial growth [3]

本报讯 （记者贾丽）人工智能+制造能"加"出什么？当"人工智能+"首次上升为国家行动，当中国制造 业从跟跑变成领跑，一场前所未有的化学反应正在中国发生。 近日，在国新办"高质量完成'十四五'规划"系列主题新闻发布会上，工业和信息化部有关负责人表示， 将研究出台"人工智能+制造"专项行动实施方案。 在这里，联想凝练了37个智能制造典型场景，其中应用人工智能技术的场景比例高达80%。智能化方 面，园区内的一些重要生产环节均已实现全自动、无人化，达到行业领先水平。以高自动化智能主板贴 片线为例，其自动化率最高可达92%，车间内含110个智能场景，使得生产效率提升200%，不良率下降 30%。 位于武汉的产业基地近期也传出"消息"，9月10日，联想武汉产业基地下线第三亿台智能终端——联想 moto Razr 60 pro最新款折叠屏手机。自2013年投产至今，该基地用12年时间实现从0到3亿台的跨越， 产品远销全球160多个国家和地区，展现出强劲的规模化制造能力。该基地持续以智能化手段不断推动 产业技术变革和优化升级，当一笔千万级订单录入系统时，被称为"AI大总管"的鲁班超级智能体能在瞬 间完成复杂拆解，精准计算物料 ...

近日，国务院印发《关于深入实施"人工智能+"行动的意见》，提出推进工业全要素智能化发展。具体 包括，推动工业全要素智能联动，加快人工智能在设计、中试、生产、服务、运营全环节落地应用。加 快工业软件创新突破，大力发展智能制造装备等。 工业和信息化部副部长张云明表示，工信部将研究出台"人工智能+制造"专项行动实施方案(以下简称 《方案》)，部署重点行业、重点环节、重点领域智能化转型任务。制定"人工智能+制造"转型路线图， 发布实施制造业企业人工智能应用指南。专家认为，这将大幅提升制造业研发、生产效率，注入新的发 展动力。 深化赋能应用 赛迪研究院未来产业研究中心人工智能研究室主任钟新龙认为，"人工智能+"赋予数字系统前所未有 的"主动思考、主动执行、主动创造"能力，其本质是生产力的革命性跃迁。如果说过去10年是在构建四 通八达的信息高速公路；那么未来10年，核心任务是在信息高速公路上运行无数具备自主决策与协同能 力的"智能体"车队。 腾讯集团副总裁、腾讯研究院院长司晓分析，"人工智能+"行动，不仅将促进人工智能技术创新与应用 发展双向赋能，还可以充分发挥我国数据资源丰富、产业体系完备、应用场景广阔等优势，为各行业 ...

工业和信息化部副部长张云明表示，工信部将研究出台"人工智能+制造"专项行动实施方案（以下简称《方 案》），部署重点行业、重点环节、重点领域智能化转型任务。制定"人工智能+制造"转型路线图，发布实施 制造业企业人工智能应用指南。专家认为，这将大幅提升制造业研发、生产效率，注入新的发展动力。 深化赋能应用 近日，国务院印发《关于深入实施"人工智能+"行动的意见》，提出推进工业全要素智能化发展。具体包括， 推动工业全要素智能联动，加快人工智能在设计、中试、生产、服务、运营全环节落地应用。加快工业软件 创新突破，大力发展智能制造装备等。 赛迪研究院未来产业研究中心人工智能研究室主任钟新龙认为，"人工智能+"赋予数字系统前所未有的"主动 思考、主动执行、主动创造"能力，其本质是生产力的革命性跃迁。如果说过去10年是在构建四通八达的信息 高速公路；那么未来10年，核心任务是在信息高速公路上运行无数具备自主决策与协同能力的"智能体"车 队。 腾讯集团副总裁、腾讯研究院院长司晓分析，"人工智能+"行动，不仅将促进人工智能技术创新与应用发展双 向赋能，还可以充分发挥我国数据资源丰富、产业体系完备、应用场景广阔等优势，为各行业高 ...

Core Viewpoint - The integration of artificial intelligence and manufacturing is not merely a combination of technology and industry, but a core engine driving the transformation of manufacturing towards high-end, intelligent, and green development [1][4] Group 1: Policy and Implementation - The Ministry of Industry and Information Technology plans to develop a special action implementation plan for "AI + Manufacturing," focusing on key industries, links, and areas for intelligent transformation [1] - A roadmap for the transformation of "AI + Manufacturing" will be established, along with guidelines for AI applications in manufacturing enterprises [1] Group 2: Benefits of AI in Manufacturing - The combination of AI and manufacturing leads to visible efficiency improvements and quality leaps, as well as intangible benefits such as breaking traditional boundaries and fostering an innovative ecosystem [1][2] - In production, AI enables precise detection and optimization of resource allocation, resulting in cost reduction and efficiency enhancement [1] - In design, data-driven approaches lower R&D costs and shorten development cycles, while in management, data integration and forecasting improve operational efficiency [1] - The service aspect of manufacturing is evolving from "selling products" to "selling services," extending the value chain [1] Group 3: Strength of AI Technology and Application Scenarios - The strength of AI technology determines the depth of integration and speed of transformation in manufacturing, with stronger technologies enabling comprehensive automation and adaptation to diverse manufacturing needs [2] - China's leading position in AI technology is supported by its robust manufacturing sector, which provides a rich variety of application scenarios [2] Group 4: Industry Supply and Empowerment - The rapid growth of AI enterprises and industry scale in China, along with innovations in AI products, is crucial for enhancing industrial supply [3] - There is a need to accelerate technological breakthroughs in high-end computing chips and multi-modal algorithms, as well as to build high-quality datasets [3] - The focus should be on empowering applications and accelerating the intelligent transformation of the manufacturing industry, with clear guidelines for different enterprises [3]

Group 1 - The core viewpoint is that the "Artificial Intelligence + Manufacturing" initiative will drive the transformation of the manufacturing industry, creating new industries, business models, and enhancing productivity through policy and market forces [1][4] - The initiative will focus on key industries, processes, and areas for intelligent transformation, with a roadmap and guidelines for AI applications in manufacturing enterprises [1][4] - The integration of AI in manufacturing will lead to visible improvements in efficiency and quality, as well as intangible benefits such as breaking traditional boundaries and fostering innovation ecosystems [1][4] Group 2 - The strength of AI technology is crucial for the depth and speed of integration with manufacturing, enabling a transition from partial automation to full-process intelligence [2][3] - China's manufacturing sector provides a rich variety of application scenarios for AI, which has contributed to the country's leading position in AI technology globally [2][3] - The development path of "scenarios nurturing technology and technology feeding back to industry" is established, reinforcing the foundation for deep integration of AI and manufacturing [2][3] Group 3 - To enhance the synergy between AI and manufacturing, it is essential to strengthen industrial supply by accelerating advancements in high-end computing chips, industrial algorithms, and data set construction [3] - The penetration of AI technology in manufacturing is accelerating, moving from equipment control to core areas like R&D and production [3] - A clear task list and implementation guidelines for intelligent transformation should be provided to enterprises of various sizes and sectors [3] Group 4 - "Artificial Intelligence + Manufacturing" serves as a core engine for the transformation towards high-end, intelligent, and green manufacturing [4] - The collaboration between strong technology and optimal application scenarios will continuously release new productive forces, propelling Chinese manufacturing to higher levels [4]

Core Viewpoint - The integration of artificial intelligence and manufacturing is not merely a combination of technology and industry, but a core engine driving the transformation of manufacturing towards high-end, intelligent, and green development [1][4]. Group 1: Policy and Implementation - The Ministry of Industry and Information Technology plans to develop a special action implementation plan for "Artificial Intelligence + Manufacturing," focusing on key industries, links, and areas for intelligent transformation [1]. - A roadmap for the transformation of "Artificial Intelligence + Manufacturing" will be established, along with guidelines for AI applications in manufacturing enterprises [1]. Group 2: Benefits of Integration - The combination of AI and manufacturing can lead to visible improvements in efficiency and quality, as well as intangible benefits such as breaking traditional boundaries and fostering an innovative ecosystem [1][2]. - In production, AI enables precise detection and optimization of resource allocation, resulting in cost reduction and efficiency enhancement [1]. - In design, data-driven approaches can lower R&D costs and shorten development cycles [1]. - In management, integrating data for predictive analysis can enhance operational efficiency [1]. - In service, the shift from "selling products" to "selling services" extends the value chain [1]. Group 3: Strengthening AI and Manufacturing Integration - The strength of AI technology is crucial for the depth of integration and speed of transformation in manufacturing [2]. - China's leading position in AI technology is supported by its robust manufacturing sector, providing diverse application scenarios [2]. - To enhance the synergy between AI and manufacturing, it is essential to strengthen industrial supply by advancing high-end computing chips, multimodal algorithms, and software-hardware integration [3]. Group 4: Accelerating Intelligent Transformation - The penetration of AI in China's manufacturing is accelerating, moving from equipment control and data processing to core areas like R&D and production [3]. - Clear task lists and pathways for intelligent transformation should be established to guide enterprises of various sizes and sectors [3]. - A platform for supply-demand matching should be created to facilitate precise connections between technology providers and manufacturing enterprises [3].

Group 1 - The core viewpoint of the articles is the promotion of the "Artificial Intelligence + Manufacturing" strategy in Guangxi, aiming to enhance the integration of AI into the manufacturing sector for high-end, intelligent, and green development [1][2] - Guangxi will provide financial support for the industrialization of smart products and AI software development, with funding up to 25% of total investment, capped at 5 million yuan for eligible projects, and up to 10 million yuan for leading projects [1] - The focus will be on key industries such as metallurgy, non-ferrous metals, petrochemicals, and sugar, with the aim of creating benchmark application scenarios that have promotional value [2] Group 2 - The policy encourages the construction of high-quality industrial data sets by enterprises, universities, and research institutions, with rewards up to 300,000 yuan based on data type, scale, quality, and openness [2] - There is a push for the establishment of national and regional technology centers and innovation platforms in the AI field, with one-time rewards for recognized national innovation platforms [2] - The initiative includes strengthening talent cultivation in the AI industry and creating a service provider database to facilitate the application of AI technologies in manufacturing scenarios [2]

Core Viewpoint - Guangxi aims to build an "Artificial Intelligence + Manufacturing" ecosystem by 2027, focusing on ten areas including smart product industrialization, software development, and industry clustering to promote AI-enabled new industrialization [1][2] Group 1: Policy Support - Guangxi will support the industrialization and production line construction of smart products such as intelligent transport tools and smart mobile terminals, as well as core components like smart chips and sensors, providing financial subsidies for eligible projects [1] - The policy emphasizes the development of AI software in industrial fields, including computer vision, intelligent voice processing, and virtual/augmented reality, while supporting the creation of intelligent platforms and industry models driven by large AI models [1] - A selection of iconic AI products will be developed, with one-time rewards for companies that obtain registration for generative AI services from the National Internet Information Office [1] Group 2: Industry Development - Guangxi will focus on creating benchmark application scenarios in key industries such as metallurgy, non-ferrous metals, petrochemicals, and sugar, promoting intelligent transformation in enterprises [1] - The new policy also supports the establishment of high-quality industrial data sets, the cultivation of AI industry clusters, and the enhancement of talent recruitment and training efforts [2] - The region aims to attract leading AI companies and well-known enterprises to set up regional headquarters, innovation centers, and digital transformation bases targeting ASEAN, with a goal of exceeding 100 billion RMB in related industry output [2]

中新网广州9月11日电 (记者 许青青)记者从11日在广州举行的先进制造业集群发展大会(2025)获悉，中 国已布局建设80个国家先进制造业集群，将大力推进这些国家级集群加速向世界级迈进。 中国推进80个国家先进制造业集群向世界级迈进 工业和信息化部总工程师谢少锋在大会致辞介绍，该部门自2019年起实施先进制造业集群发展专项行 动，目前在全国已布局建设80个国家级先进制造业集群，涉及新一代信息技术、高端装备、新材料等六 大行业，分布于26个省级行政区。这80个国家级集群汇聚了2200余个国家级创新载体，主导及参与国际 标准2100余项，集中攻克了一批关键核心技术，金融、人才等高端要素加速向集群汇聚，各类产业投资 基金规模达3万亿元。 本次大会由工业和信息化部工业文化发展中心、广东省工业和信息化厅、广州市人民政府主办，以"科 技引领·治理创新·集群新未来"为主题，重点展示集群产业创新前沿性、标志性成果，挖掘集群治理新理 念、新做法，引导科技、人才、资本与集群对接，繁荣集群发展生态，包括"1场主论坛、2场平行活动 和1个集群成果推介"。 编辑：郭晋嘉 广告等商务合作，请点击这里 本文为转载内容，授权事宜请联系原著 ...