Core Viewpoint - The Ministry of Industry and Information Technology and the State Administration for Market Regulation have jointly issued a notice to initiate the 2025 annual application for the "Leading the Way" project for intelligent manufacturing system solutions, focusing on digital transformation and intelligent upgrades in key industries such as raw materials, high-end equipment, consumer goods, and electronic information [2][4]. Group 1: Project Application - The 2025 project application aims to address the pain points in intelligent factory construction and cultivate specialized suppliers with core technologies in specific industries [3][4]. - Eligible applicants must be registered enterprises or research institutions in China with independent legal status, capable of forming joint applications [5][19]. - Each applicant can lead one project and cover up to three tasks related to intelligent manufacturing system solutions [30][32]. Group 2: Implementation and Evaluation - The application process involves online submission of materials by November 10, 2025, followed by a review by local industrial and information departments [7][32]. - The evaluation of already approved projects will be conducted by the Ministry of Industry and Information Technology and the State Administration for Market Regulation, ensuring that the solutions are advanced, applicable, and replicable [10][44]. - Successful applicants must complete their commitments within two years and request evaluation from their recommending units [8][32]. Group 3: Requirements and Standards - Applicants must demonstrate a solid foundation in technology innovation and application, with necessary facilities and successful case studies in relevant industries [5][20]. - The evaluation process includes submitting verification materials and undergoing a thorough review by experts to assess the completion of tasks and indicators [11][45]. - The project execution period is limited to two years, with an emphasis on promoting successful outcomes and experiences in the intelligent manufacturing sector [13][14].

Core Viewpoint - The article emphasizes the importance of establishing group standards in the special robotics industry to promote healthy development and technological support [3][5]. Group 1: Scope of Standardization - The focus of the standardization project includes robotics and intelligent equipment, particularly in special environment application robots and key technologies [7]. Group 2: Application Requirements - Applications for standardization must comply with national laws and regulations, not conflict with existing national, industry, or local standards, and should aim to promote technological advancement and enhance industry competitiveness [9]. - The technology involved should demonstrate significant innovation, feasibility, practicality, and broad representativeness, encouraging collaboration among producers, operators, users, research institutions, testing organizations, and government departments [9]. Group 3: Application Process - Applicants must complete the "Group Standard Project Application Form" and submit it electronically to the alliance contact, including any draft standards if available [11]. - The deadline for submissions is November 30, 2025 [12].

Core Viewpoint - The Guangdong Provincial Government has issued the "Action Plan for High-Quality Development of Manufacturing Empowered by Artificial Intelligence (2025-2027)" to promote the digital transformation and intelligent leap of the manufacturing industry through artificial intelligence [4][6][49]. Group 1: Strengthening Key Supply of Industrial AI - Focus on the innovation and development of industrial models, particularly in key industries such as electronic information, smart home appliances, automotive, and robotics [7][15]. - Support the development of vertical large models and specialized small models for quality inspection, process optimization, and equipment maintenance, with funding for eligible projects [7][16]. - Enhance the development and utilization of industrial data by constructing high-quality industry-specific datasets and knowledge repositories [7][17]. - Support the application of intelligent computing power in industrial enterprises, utilizing various data center resources to train and develop industrial models [7][19]. - Promote the creation of high-value industrial intelligent bodies capable of data processing and intelligent decision-making [7][21]. - Foster the development of industrial software and intelligent equipment, integrating AI with industrial internet platforms [7][25]. Group 2: Promoting Large-Scale Application of Industrial AI - Establish a diagnostic and transformation system for manufacturing enterprises, providing guidance on AI application scenarios [8][25]. - Implement benchmark construction actions for "AI + Manufacturing," focusing on various sub-industries to support the penetration of AI applications [8][27]. - Encourage the construction of intelligent supply chains and promote the digital transformation of related enterprises [8][28]. - Accelerate the digital transformation of small and medium-sized enterprises in designated pilot cities, providing funding support for eligible projects [8][29]. - Develop high-standard digital parks to facilitate the intelligent transformation of enterprises within these parks [8][32]. Group 3: Building an AI Support System - Support the establishment of national-level AI application pilot bases and digital transformation promotion centers in cities like Shenzhen and Dongguan [10][36]. - Create innovation platforms for AI in manufacturing, focusing on model algorithm technology and application testing [10][38]. - Promote the landing and application of AI core technologies and products through various initiatives [10][52]. Group 4: Optimizing AI Element Support - Leverage provincial and municipal funds to support the high-quality development of AI in manufacturing, including financial services for AI product development [10][42]. - Cultivate a skilled workforce in AI, focusing on high-level and practical talents through training programs and competitions [10][44]. - Establish an industrial information security service platform to enhance security measures in AI applications [10][46].

Core Viewpoint - The company, Leju Robotics, has completed nearly 1.5 billion yuan in Pre-IPO financing to enhance core technology research, deepen industry chain layout, and improve application scenarios for humanoid robots [1]. Technology Research - The company will continue to explore the integration of Model-Based and RL algorithms for its "small brain" control system and a "big brain" model that meets industry needs. Collaborative research efforts will be maintained with several universities and research institutions, including Harbin Institute of Technology and Peking University [4]. Industry Chain Layout - Investments have been made in various upstream and downstream companies, including QuanZhiBo (integrated joints), LiJuDianLi (motors), and LingXinQiaoShou (dexterous hands). Partnerships have been established with Dongfang Precision to create large-scale humanoid robot production lines and with HeErTai and Dongfang Precision to form a humanoid robot controller company [5]. Application Scenarios - The company is focusing on industrialization in various scenarios such as research, commercial services, industry, and home applications. Collaborations with over 40 ecosystem partners, including Huawei, Tencent, and Alibaba Cloud, are underway for extensive application exploration [6]. Founding Team - The founding team consists of three members from Harbin Institute of Technology, with significant experience in robotics and artificial intelligence. The chairman and CTO, Cold Xiaokun, has led numerous research projects and holds over 130 patents. The CEO, Chang Lin, has a background in robotics competitions and AI acceleration programs [9]. Market Context - The company has witnessed explosive growth in humanoid robotics over the past decade, particularly in the last three years, driven by national policies and market demand. The next step in industrialization is to transition from "technically feasible" to "commercially viable" [9].

Conference Overview - The 7th Modern Manufacturing Integration Technology Academic Conference will be held from November 7 to November 9, 2025, in Zhengzhou, focusing on the digital transformation of the manufacturing industry driven by the new generation of artificial intelligence [2] - The conference will feature thematic forums on AI-driven product design and simulation, AI-driven manufacturing process optimization, AI-driven production operation management, equipment fault diagnosis and intelligent operation, and industrial software and digital twins [2] Participation Invitation - Experts, technical personnel, and students from universities, research institutions, and enterprises engaged in related research and applications are invited to attend the conference [3] Registration Information - The registration channel is now open with limited slots available, encouraging prompt registration [4] - Payment for registration is required via bank transfer, with specific account details provided [8] Speaker Introduction - Liu Jianhua, a professor at Beijing Institute of Technology, will be one of the speakers, recognized as a national high-level talent and director of the Intelligent Manufacturing Center [7] Academic and Professional Background - Liu Jianhua holds various academic positions and has been involved in numerous significant national projects, with over 80 authorized national invention patents and multiple national and provincial-level awards [7] Important Dates and Logistics - The registration deadline for the conference is November 2 [10] - Participants are responsible for their own accommodation and travel expenses, with recommendations for nearby hotels provided [10][11] Hotel Information - Recommended hotels include Zhongzhou Huayue Hotel and Zhengzhou Fengleyuan Hotel, with contact details for reservations [11] Contact Information - Various contact numbers for the conference organizing committee and related institutions are provided for inquiries and assistance [11]

Core Viewpoint - The article discusses the ten strategic technology trends that enterprises need to focus on in 2026, emphasizing the integration of AI and the necessity for responsible innovation, operational excellence, and digital trust in a rapidly evolving technological landscape [5]. Group 1: AI Supercomputing Platforms - AI supercomputing platforms integrate various computing technologies to manage complex workloads, enhancing performance and innovation potential [8]. - By 2028, over 40% of leading enterprises will adopt hybrid computing paradigms in critical business processes, a significant increase from the current 8% [9]. Group 2: Multi-Agent Systems - Multi-agent systems consist of multiple AI agents that interact to achieve complex individual or collective goals, enhancing automation and collaboration [10][11]. Group 3: Domain-Specific Language Models (DSLM) - DSLMs are specialized language models trained on specific industry data, providing higher accuracy and compliance for business needs [12][13]. - By 2028, over half of generative AI models used by enterprises will be domain-specific [13]. Group 4: AI Security Platforms - AI security platforms offer unified protection mechanisms for AI applications, helping organizations monitor AI activities and enforce usage policies [14][15]. - By 2028, over 50% of enterprises will use AI security platforms to safeguard their AI investments [15]. Group 5: AI-Native Development Platforms - AI-native development platforms enable faster software development through generative AI, allowing smaller teams to create more applications efficiently [16][17]. - By 2030, 80% of enterprises will transition to smaller, AI-augmented teams for software development [17]. Group 6: Confidential Computing - Confidential computing transforms how enterprises handle sensitive data by isolating workloads in trusted execution environments [18][20]. - By 2029, over 75% of business operations in untrusted infrastructures will be secured through confidential computing [20]. Group 7: Physical AI - Physical AI empowers machines and devices with perception, decision-making, and action capabilities, providing significant benefits in automation and safety [21][23]. Group 8: Proactive Cybersecurity - Proactive cybersecurity is becoming a trend as organizations shift from passive defense to active protection strategies [24][26]. - By 2030, proactive defense solutions will account for half of enterprise security spending [24]. Group 9: Digital Traceability - Digital traceability is crucial for verifying the source, ownership, and integrity of software and data, especially as reliance on third-party software increases [27][28]. - By 2029, enterprises lacking investment in digital traceability may face significant financial penalties [28]. Group 10: Geopolitical Repatriation - Geopolitical repatriation involves moving data and applications to local platforms to mitigate geopolitical risks, a trend that is gaining traction across various industries [29][30]. - By 2030, over 75% of enterprises in Europe and the Middle East will migrate workloads to solutions that reduce geopolitical risks [30]. Summary of Trends Evolution - The trends indicate a shift towards AI being central to all technology strategies, with a focus on specialized applications and security measures as enterprises scale AI and digital technologies [33].

第七届现代制造集成技术学术会议 将于 2025年11月7日~11月9日 在 郑州 召开。本次会议聚焦新一代人工智能驱 动的制造业数智化转型，计划设置AI驱动的产品设计与仿真、AI驱动的制造工艺优化、AI驱动的生产运作管控、 装备故障诊断与智能运维和工业软件与数字孪生等主题论坛。 大会注册通道现已开放，早鸟时间紧迫，尽快报名尽享优惠！ 报告嘉宾介绍 1 添加客服微信： myrobotics ，备注" 参会人员 "，邀请进入会议群。 缴费成功后请务必将 参会回执 发送邮件至编辑部邮箱（ cims_journal@qq.com ） 点击蓝字下载参会回执文件： 附件：参会回执.docx 陶飞 北京航空航天大学教授 报告人简介 2 北京航空航天大学教授、博导，国际前沿交叉科学研究院院长。 诚邀高等院校、研究机构和企业等从事相关研究和应用的专家、技术人员、学生出席此次大会。 国家级领军人才（2019）、北航党委人才工作办公室副主任、国家智能制造专家委员会委员、"十四五"国家重点 研发计划工业软件重点专项总体专家组专家。长期从事数字孪生与数字工程、智能制造、制造工业软件等教研工 作。第一作者出版专著5部，在Nature等期 ...

Core Viewpoint - TaoShi Intelligent Technology, a pioneer in high-precision harmonic gear reducers, successfully completed a multi-million RMB Pre-A round financing, indicating strong market recognition for domestic robotics core components technology breakthroughs [3]. Group 1: Company Development - The financing will primarily support the expansion of micro-reducer production lines, the development of next-generation dexterous hand joint modules, and global market layout [3]. - TaoShi Intelligent has developed a unique ring envelope reducer and all-drive dexterous hand joint module, filling domestic technological gaps and surpassing several performance metrics [5]. - The micro-reducer boasts a torque density of 500 NM/KG, precision control within 1 arc minute, and a lifespan exceeding 10,000 hours, addressing traditional joint heating issues [5]. Group 2: Technological Advancements - The dexterous hand joint module features an innovative orthogonal direct drive structure, achieving a high load capacity of 40 kg and precision of ±0.015 mm, making it the only module globally with such capabilities [6]. - TaoShi Intelligent holds over 50 patents and 20 software copyrights, establishing a strong technological barrier and ensuring continuous innovation [6]. Group 3: Market Opportunities - The rapid growth of TaoShi Intelligent is supported by favorable policies, such as the 2025 guidelines emphasizing precision reducers as key focus areas [7]. - The domestic high-precision reducer market has a significant gap, with a low self-sufficiency rate, indicating a billion-level market demand waiting to be filled [7]. - The company plans to start construction of a new production base in Shenzhen in September 2025, aiming to increase annual reducer production capacity to 100,000 units by 2026 [7]. Group 4: Future Plans - TaoShi Intelligent will focus on developing high-precision reducers for micro-application scenarios, including robotic dexterous hands and medical robotic arms [8]. - The company aims to collaborate with universities to establish a "Dexterous Hand Industry-Academia-Research Collaborative Innovation Center," promoting technology transfer and industry standardization [9]. - The growth trajectory of TaoShi Intelligent reflects the rise of the domestic high-precision reducer industry, with potential for significant global market presence [9].

为深入贯彻习近平总书记关于激发涌现更多专精特新中小企业的重要指示批示精神，工业和信息化部开展 了2025年专精特新"小巨人"企业认定和复核工作，已完成相关审核。10月20日，各地陆续公示了 第七批专 精特新"小巨人"企业 和 2025年专精特新"小巨人"复核通过企业名单 。 在各省市中，新申请企业数量排在前五的是 江苏省、深圳市、广东省、浙江省、北京市 添加客服微信： myrobotics ，备注" 参会人员 "，邀请进入会议群。 缴费成功后请务必将 参会回执 发送邮件至编辑部邮箱（ cims_journal@qq.com ） 点击蓝字下载参会回执文件： 附件：参会回执.docx | 序号 | 省份 | 企业数量-新申请 | 企业数量-复核 | | --- | --- | --- | --- | | 1 | 辽宁省 | 22 | 42 | | 2 | 黑龙江省 | 5 | 14 | | 3 | 山西省 | 17 | 35 | | 4 | 河北省 | 56 | 135 | | 5 | 广东省 | 344 | 159 | | 6 | 江苏省 | 807 | 400 | | 7 | 安徽省 | 153 | 236 ...

Core Insights - The article highlights the significant growth in humanoid robot procurement projects in China, with over 94 projects disclosed by Q3 2025, totaling nearly 320 million RMB, indicating a robust demand and acceleration in the industry [6][8]. Group 1: Procurement Trends - The number of procurement projects for humanoid robots has significantly increased in Q3 compared to the first half of 2025, reflecting a rapid release of downstream demand and a shift towards substantial industrialization [8]. - Enterprises have emerged as the primary source of procurement funding, with top companies like Miyi (Shanghai) Automotive Technology Co., Ltd. leading with 90.51 million RMB in purchases, followed by Beijing Shijingshan Industrial Development Co., Ltd. and Hubei Guanggu East Intelligent Technology Co., Ltd. [14]. - Higher education institutions remain a major force in procurement, with 59 projects accounting for over 60% of the total, primarily for educational and research purposes [16]. Group 2: Application Areas - The primary applications for humanoid robots in Q3 2025 are in education and research, industrial demonstration applications, and data collection, with education and research being the dominant area [17][19]. - Educational institutions are focusing on experimental teaching and interdisciplinary research, while enterprises are validating early-stage applications in sectors like security and smart city management [19]. Group 3: Market Dynamics - The market is characterized by a head effect, with three major companies—Shenzhen UBTECH Robotics Co., Ltd., Leju (Shenzhen) Robotics Technology Co., Ltd., and Zhiyuan Innovation (Shanghai) Technology Co., Ltd.—accounting for over 66% of the total procurement amount [20][22]. - The procurement landscape shows a trend towards closer relationships between suppliers and buyers, with many projects reflecting established partnerships, particularly in educational settings [22]. Group 4: Financial Insights - Despite the increase in project numbers, the majority of contracts are small, with 76% of projects valued below 1 million RMB, indicating a focus on exploratory deployments rather than large-scale implementations [23][25]. - The average project value is less than 3.5 million RMB, suggesting that the current phase of humanoid robot commercialization is still in its early stages, primarily focused on cost control and trial runs [25]. Group 5: Future Outlook - The data from Q3 2025 indicates a transition from the "PPT stage" to the "order stage" in the humanoid robot industry, with educational and demonstration projects driving demand [26]. - As costs decrease and technology matures, larger orders and more extensive deployments are expected to emerge in the near future, potentially leading to significant commercial value realization [26].