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].

Core Insights - The robotics industry is experiencing significant growth, transforming human production and lifestyle, and injecting strong momentum into economic and social development [1] - The Ministry of Industry and Information Technology, along with 16 other ministries, issued the "Robot + Application Action Implementation Plan" at the beginning of 2023, aiming to double the density of manufacturing robots by 2025 compared to 2020 [1] - The "Guiding Opinions on the Innovative Development of Humanoid Robots" were released on November 12, 2023, indicating that humanoid robots are expected to become a disruptive product following computers, smartphones, and new energy vehicles, with mass production targeted for 2025 [1] Industry Events - The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025) will be held from October 21 to October 23, 2025, at the Hangzhou International Expo Center [2] - The 2025 Chemical Artificial Intelligence Conference is scheduled for October 24 to October 26, 2025, in Yantai, organized by the China Chemical Enterprise Management Association [3] - The 10th China International Artificial Intelligence Conference and Exhibition, along with the Artificial Intelligence Computing Power and Algorithm Summit Forum, will take place from October 28 to October 29, 2025, in Shanghai, hosted by the China Artificial Intelligence Industry Alliance and Bole Exhibition Group [3] - The 2025 Guangdong International Robotics and Intelligent Equipment Development Conference, focusing on the high-quality development of the humanoid robot industry, is set for October 29, 2025, at the Guangdong Modern International Exhibition Center [3] - The 5th International Conference on Robotics, Automation, and Intelligent Control (ICRAIC 2025) will occur from October 31 to November 2, 2025, in Chengdu, organized by Chengdu University of Technology [4] - The 3rd International Conference on Computer Vision and Intelligent Technology will also be held from October 31 to November 2, 2025, in Baoding, organized by Hebei University [4]

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。 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 孙林夫 西南交通大学教授 报告人简介 2 西南交通大学教授，国务院政府特殊津贴，现任CAD工程中心主任、四川省现代服务科技研究院院长。第十届、 十一届、十二届全国政协委员，国务院特殊津贴获得者，中国图学学会第八届理 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。 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 事会副理事长，并担任多项国家级科技项目专家组负责人。长期从事网络化云制造、制造业产业链协作技术、公 共服务平台技术等研究。 学术兼职 " ...

Core Viewpoint - Qunche Intelligent has recently completed a new round of financing led by Alibaba Group, with multiple existing shareholders participating, aiming to accelerate technology product development and industry ecosystem expansion [2][4]. Group 1: Financing and Growth - Qunche Intelligent has demonstrated strong financing capabilities, having completed several rounds of financing totaling hundreds of millions in Pre-A++ and Pre-A+++ rounds [4]. - The latest funding will be utilized to enhance technology product research and development, as well as to facilitate the practical application of embodied intelligence [2][4]. Group 2: Technological Advancements - The company has launched its self-developed upgraded product, Noematrix Brain 2.0, based on its innovative "force-centered" technology, achieving significant breakthroughs in the field of large models for the physical world [4]. - Recent technological achievements include a no-ontology data collection solution, a general end-to-end model solution, and a scalable deployment system for human-machine collaboration, aiming to streamline the entire process from data collection to deployment [4]. Group 3: Commercialization and Industry Recognition - Led by Professor Lu Ce Wu, a leader in the field of embodied intelligence, Qunche Intelligent possesses full-stack capabilities from technology research and development to commercial delivery [6]. - The company has established deep collaborations with leading enterprises in retail and home industries, promoting the large-scale implementation of integrated software and hardware solutions, indicating that its technological strength has been recognized by the industry [6].

以下文章来源于IPO早知道 ，作者Uncle C IPO早知道 . IPO情报专家。 | 注册类别 会议费用 | | 10月20日前 | | --- | --- | --- | | 学生参会 | 1500 元 | 1200 元 | | 普通参会 | 2800 元 | 2500 元 | | 企业代表 | 3800 元 | 3500 元 | | 0000 | | | 全球唯一旗下产品拥有7国自动驾驶牌照的科技公司。 日前， WeRide Inc. – W（以下简称"文远知行"）已通过港交所聆讯并于10月19日披露通过聆讯后的资 料集，中金公司和摩根士丹利担任联席保荐人。 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 文远知行本次计划通过18C章程完成"美+港"双重上市。 成立于2017年的文远知行是全球唯一旗下产品同时拥有中国、阿联酋、新加坡、法国、美国、沙特、比利 时 七国自动驾驶牌照的科技企业 ，已在 全球11个国家超30个城 ...