Core Insights - The article emphasizes the importance of manufacturing as the foundation of a country's economy and technological advancement, arguing that neglecting manufacturing in favor of newer concepts like big data and cloud computing is a significant misunderstanding [1][3][4] - It highlights that the U.S. has not abandoned manufacturing, with manufacturing contributing $2.36 trillion to the economy, representing 11% of the total economic output, while over 60% of the service sector is related to manufacturing [2][4] Manufacturing Development - The historical context of industrialization is outlined, noting that the first industrial revolution began in 1776 with the invention of the steam engine, leading to significant advancements in manufacturing [3][4] - The article discusses the rapid industrialization of China over the past 40 years, achieving a manufacturing system that is now the largest in the world, but also notes the significant gaps in technology and capabilities compared to developed countries [5][6] Current Challenges - Three major challenges facing China's manufacturing sector are identified: a weak industrial foundation, an incomplete industrial ecosystem, and a need for an improved industrial environment [6][8][10] - The lack of foundational research and reliance on foreign technology for critical components, such as high-end chips and industrial robots, is highlighted as a significant gap [7][9] Future Directions - The article calls for a focus on strengthening the foundational aspects of manufacturing, including research institutions and universities, to foster innovation and technological advancement [12][13] - It emphasizes the need for a complete industrial chain and the establishment of a robust talent system to support the manufacturing sector [13][14] - The importance of enhancing recognition of manufacturing processes and improving strategic guidance to avoid fragmented approaches is also discussed [15][16]

每经AI快讯，12月2日，西安奕材(688783.SH)公告称，公司拟与西安高新金融控股集团有限公司投资平 台、西安财金投资私募基金管理有限公司投资平台共同成立一家有限合伙企业，并由该合伙企业设立项 目公司作为智造创新中心项目的实施主体。项目总投资约10亿元人民币，其中资本金3亿元人民币，项 目公司向银行借款7亿元人民币。本项目通过搭建智算算力平台，构建以数据、算法和算力为核心的工 业大脑开发体系和智能智造系统，推动上下游生态链伙伴的智能化转型，增强供应链竞争力，实现产品 良率、效率和收益性的不断提升，助力西安智造产业创新升级。 （文章来源：每日经济新闻） ...

Core Insights - Jiangsu Province's Science and Technology Department has officially announced the list of provincial benchmark incubators for 2025, with Lianyungang High-tech Zone's "Lianyungang Smart Manufacturing Industry Incubator" being the only technology-based enterprise incubator in the city to receive this honor, highlighting the recognition of its operational service capabilities and its commitment to technological innovation and new productivity cultivation [1][3] Group 1: Incubator Recognition and Impact - The recognition of the smart manufacturing industry incubator serves as a model for innovation platform construction in the high-tech zone, focusing on strategic emerging industries such as digital economy, intelligent manufacturing, and biomedicine [3][5] - The incubator has nurtured 8 specialized and innovative enterprises, 14 enterprises above designated size, 53 high-tech enterprises, and 142 technology-based SMEs, facilitating nearly 10 companies to go public or get listed [5][6] Group 2: Collaborative Innovation and Resource Integration - The incubator has established deep collaborations with leading universities and enterprises, creating professional R&D platforms and facilitating a "production, learning, research, and application" collaborative innovation channel [3][5] - It has set up "innovation outposts" in cities like Wuxi, Nanjing, Chengdu, Harbin, and Wuhan to achieve cross-regional resource integration and offshore incubation [3][5] Group 3: Support for High-tech Enterprises - Companies like Jiangsu Jinge Network Technology Co., Ltd. and Jiangsu Baishi Mei Biotechnology Co., Ltd. have emerged as key players in the high-tech sector, benefiting from the incubator's comprehensive support [5][6] - The high-tech zone has increased investment in technological innovation and improved its innovation policy system, attracting high-level talent teams and quality innovation projects [6][7]

天眼查App显示，近日，东莞市宇诚辉智能制造科技有限公司成立，注册资本100万人民币，经营范围 为一般项目：机械设备研发；机械设备销售；五金产品制造；五金产品批发；塑料制品制造；塑料制品 销售；模具制造；模具销售；电子、机械设备维护（不含特种设备）；通用设备制造（不含特种设备制 造）；通用零部件制造；机械零件、零部件加工；机械零件、零部件销售；货物进出口；技术进出口。 （除依法须经批准的项目外，凭营业执照依法自主开展经营活动）。 ...

济南外贸保持稳健增长韧性，2024年进出口总额定格2324.3亿元，同比增幅7.5%。 这一增长主要由机电与高新技术产品拉动，两类产品出口增速分别达20.2%和37.6%。 作为济南制造业的核心优势品类，上述产品传统获客高度依赖B2B平台及搜索引擎。 当采购经理弃用手动筛选供应商名录，转而向AI助手指令"推送中国山东优质机械配件供应商清单"时， 你的企业能否跻身智能推荐序列? "此前依托搜索引擎优化(SEO)可稳定获取海外询盘，今年即便搜索排名靠前，流量与有效询盘仍双双下 滑。"济南某机械出口企业负责人的困惑，正是这座外贸总额达2324.3亿元城市的共性痛点。 2024年数据显示，济南外贸进出口总额同比增长7.5%，其中机电产品、高新技术产品出口增幅分别达 20.2%、37.6%，双双实现高速增长。 亮眼数据背后，一场AI驱动的搜索范式革命正悄然重塑行业规则。 但表面繁荣下，行业正面临结构性挑战——全球搜索行为已发生根本性转变。 数据显示，2025年全球传统搜索流量同比萎缩25%，近四成用户需求被AI对话机器人承接。 在B2B外贸领域，72%的采购经理优先采信AI生成的供应商评估报告，其决策权重为传统搜索结果 ...

2025年12月1日，卓翼科技（002369.SZ）迎来发展史上的又一个重要里程碑。公司股东和山未来、顺域 达供应链管理（深圳）有限公司及曾志超先生签署《一致行动协议》，同时完成第七届董事会换届选 举，正式明确和山未来为公司控股股东，陈雍先生为公司实际控制人。这一系列举措不仅夯实了卓翼科 技的治理基础，更以专业互补的核心团队与清晰的战略方向，为上市公司高质量发展注入新的动力，未 来或有望开启新的发展篇章。 新一届核心团队的组建彰显"专业互补、资源协同"的战略智慧，为卓翼科技多维发展注入综合势能。其 中，作为实际控制人及董事长，陈雍先生拥有18年跨境外贸深耕经验与丰富渠道资源，将推动卓翼科技 的智能制造优势与跨境电商资源深度融合，打开国内外市场联动发展的全新空间；元老级高管李兴舫先 生的留任，确保了公司战略传承与运营稳定性，助力新团队快速衔接业务、平稳过渡；具备金融复合背 景的陈亮先生，将强化公司资本运作能力，为企业对接更多资本市场资源，赋能业务扩张与产业升级； 电子信息领域专家杞耀军先生则以深厚的专业技术积淀，为公司研发创新提供核心支撑，加速产品迭代 与技术突破。 分析认为，此次控制权明晰与团队换届，是卓翼科 ...

Group 1: Digital Economy Development in Longhua - Longhua District has transformed from a traditional manufacturing hub to a core area of digital economy within five years, becoming a key engine for regional development [1][2] - In 2024, the core industries of the digital economy in Longhua are projected to achieve a total output of 563.88 billion yuan, maintaining an output scale above 500 billion yuan for three consecutive years [2] - The smart terminal industry dominates the digital economy in Longhua, accounting for over 90% of the core industry scale, alongside significant contributions from the network and communication, software and information technology services, and artificial intelligence sectors [2] Group 2: Industrial Upgrading and Policy Support - Longhua's industrial development has evolved from traditional manufacturing to a focus on electronic information, with a significant push towards digital transformation driven by market demands [4][5] - In 2020, Longhua was designated as a "core urban area" of Shenzhen, aiming to establish a high ground for emerging industries and a new city of fashion [6] - The district has implemented a comprehensive digital economy policy framework, including a three-year work plan and over 30 billion yuan budget for various industry-specific policies [7] Group 3: Digital Transformation Case Studies - Liard, a leading LED display manufacturer, has integrated digital transformation into its operations, significantly enhancing management efficiency through IoT and data analytics [10][11] - Shenzhen Guodian Technology Communication Co., Ltd. has successfully doubled its production capacity and reduced delivery cycles by 53% post-digital transformation, evolving from a producer to a provider of intelligent manufacturing solutions [12] - Yipu Technology has developed a proprietary industrial software system for the semiconductor industry, breaking the monopoly of foreign technologies and addressing local manufacturing needs [14][16] Group 4: Future Prospects and AI Integration - Longhua is set to leverage AI to further enhance the digital transformation of its manufacturing sector, with initiatives like the "AI + Manufacturing" action plan [17] - Companies like Yipu Technology and Shenzhen Guodian are already experimenting with AI applications in quality inspection and operational efficiency [17] - The district aims to double its GDP in the next five years, indicating strong confidence in its transition from manufacturing to intelligent manufacturing [18]

Core Insights - The "Baijing Chuangxiang" scenario docking conference was held in Bao'an District, Shenzhen, focusing on the establishment of the Guangdong-Hong Kong-Macao Greater Bay Area Application Scenario Innovation Center for Intelligent Manufacturing [1][2] - The center aims to leverage Bao'an's manufacturing base and application resources to develop new fields and high-value scenarios in technologies such as artificial intelligence, industrial internet, big data, and cloud computing [1][2] Group 1 - The conference attracted over 760 companies, releasing more than 500 scenario opportunities and capabilities, with over 60 companies signing agreements on-site [2] - More than 150 companies showcased over 500 new technologies and products, covering various fields including intelligent manufacturing, artificial intelligence, low-altitude economy, and unmanned systems [2] - The government-led scenarios included 288 opportunities, focusing on social governance, public services, and industry applications, while enterprise application scenarios totaled 220, targeting sectors like smart terminals and semiconductor industries [2] Group 2 - Bao'an District has nearly 560,000 enterprises, with around 5,600 above-scale manufacturing companies, covering all 31 major categories of manufacturing [2] - The district features a comprehensive transportation hub with nearly 400 square kilometers of land and 175 square kilometers of sea, integrating multiple transportation modes [2] - Bao'an has proposed to become a "benchmark city for fully open scenarios," aiming to open over 100 innovative application scenarios and release more than 1,000 new technologies, products, and solutions [2]

今年8月，国务院发布了《关于深入实施"人工智能+"行动的意见》，对人工智能与各行各业深度融合作出战略部署，在《意见》的指引下，四川制造业正经 历一场智能化变革。接下来，我们就跟随记者深入生产一线，走进能源重装、消费电子等领域车间，感受AI赋能下四川制造业的新变化。 01 智能制造 精度与效率实现"双增" 在一座生产汽轮机叶片的工厂，记者看到，智能物流设备正快速移动，将叶片毛坯精准送达机器人臂的"手中"，在这近万平方米的厂房区域中，维持运转的 人员仅有10多人。 东方汽轮机叶片分厂厂长 任宗华：通过智能制造，让我们的人均效率达到了650%，质量水平也全部达到99%以上，通过AI实时监测与管控，我们的精度已 经达到0.03毫米级。 0.03毫米，相当于一张A4纸厚度的三分之一，精细度堪比一根头发丝。智能制造不仅提升了精度，也提升了效率。 长虹智慧显示（中国）MES工作室主任 冯楚贤：我们这条生产线通过MES系统和AI视觉检测深度融合，以前我们的质量检测需要人工一个一个去看，现在 AI系统可以实时检测每一台电视的画质、声音、端口功能这些。 在这里，所有订单信息、生产进度、物料调配都集成在一个数字化管控平台上。通过" ...

Core Viewpoint - The company is committed to smart manufacturing and digital transformation, actively exploring the application of new technologies in its production and operations [1] Group 1 - The company has applied relevant intelligent technologies in its manufacturing processes [1]