民生证券股份有限公司 关于上海移远通信技术股份有限公司 向特定对象发行股票 之 发行保荐书 保荐机构（主承销商） （中国（上海）自由贸易试验区浦明路 8 号） 二〇二五年五月 上海移远通信技术股份有限公司 发行保荐书 声 明 上海证券交易所： 民生证券股份有限公司（以下简称"民生证券"、"保荐机构"）接受上海 移远通信技术股份有限公司（以下简称"移远通信"、"发行人"、"公司"） 的委托，担任上海移远通信技术股份有限公司本次向特定对象发行股票（以下简 称"本次发行"）的保荐机构，就本次发行项目出具发行保荐书。 民生证券股份有限公司及其保荐代表人根据《中华人民共和国公司法》（以 下简称"《公司法》"）、《中华人民共和国证券法》（以下简称"《证券法》"）、 《证券发行上市保荐业务管理办法》《上市公司证券发行注册管理办法》（以下 简称"《注册管理办法》"）等有关法律、法规的规定，诚实守信，勤勉尽责， 严格按照依法制订的业务规则、行业执业规范和道德准则出具本发行保荐书，并 保证所出具文件的真实性、准确性和完整性。 本发行保荐书如无特别说明，相关用语具有与《上海移远通信技术股份有限 公司 2025 年度向特定对象发行 ...

Core Viewpoint - The company, Quectel Wireless Solutions Co., Ltd., is planning to issue A-shares to specific investors to raise a total of up to 2.3 billion yuan for various projects, including the expansion of 5G modules and AI solutions, which are expected to enhance its competitive edge and operational scale [1][5][9]. Company Overview - The company is a leading provider of IoT solutions, focusing on the design, development, production, and sales of wireless communication modules and related solutions [21]. - The company was established on October 25, 2010, and became a publicly listed company on July 16, 2019, with a total share capital of 261,657,654 shares [10][11]. Financial Performance - The company's revenue for the reporting period was 14.23 billion yuan, 13.86 billion yuan, 18.59 billion yuan, and 5.22 billion yuan, respectively [4]. - The net profit attributable to shareholders for the same periods was reported, indicating fluctuations in performance [4]. Fundraising and Investment Projects - The fundraising will be allocated to several key projects: - 5G module expansion project: 957.27 million yuan - AI computing module and solution industrialization project: 411.24 million yuan - Headquarters and R&D center upgrade project: 728.44 million yuan - Working capital: 400 million yuan - The total investment for these projects is approximately 2.5 billion yuan, with the net amount raised after expenses expected to be fully utilized for these projects [9][22]. Industry Overview - The IoT industry is experiencing rapid growth, with an estimated 15.7 billion global IoT connections in 2023, projected to reach 38.8 billion by 2029 [12][13]. - The demand for wireless communication modules is increasing, driven by advancements in technologies such as 5G, AI, and edge computing [14][15]. - The industry is characterized by high competition, with major players including Telit, Sierra Wireless, and U-Blox, among others [16][17][19]. Market Dynamics - The wireless communication module market is influenced by various factors, including technological advancements, market demand, and competitive landscape [20]. - The company faces challenges such as potential fluctuations in raw material costs and the need to adapt to changing market conditions [3][4]. Competitive Landscape - The company operates in a highly competitive environment, with increasing barriers to entry due to technological advancements and market consolidation [3][16]. - The competition is expected to intensify as the industry evolves, requiring companies to innovate continuously to maintain market share [15][16]. Business Model and Operations - The company employs a combination of in-house production and outsourcing to ensure efficient supply chain management and product quality [23]. - Sales are conducted through both online and offline channels, with a focus on expanding its customer base and enhancing service delivery [23].

公众号记得加星标⭐️，第一时间看推送不会错过。 据 SNS Insider 报道，" 2024 年智能语音控制芯片市场 规模为 70.4 亿美元，预计到 2032 年将达到 140 亿美元，在 2025-2032 年预测期内的复合年增长率为 9.06%。" 语音助手集成度不断提升，推动智能语音控制芯片市场增长 全球智能语音控制芯片市场正在稳步增长，这得益于消费电子产品、汽车系统和智能家居中语音设备 的广泛应用。人工智能和边缘计算改进了语音系统，使其具有识别能力，从而刺激了各个领域的需 求。语音技术消费者越来越多地与语音辅助技术互动，尤其是在家中，预计到 2024 年将有超过 80 亿个数字语音助理投入使用。美国市场快速增长。随着 Alexa、Apple Siri 和 Google Assistant 在 各种设备上的广泛采用，美国市场正在飙升。美国智能语音控制芯片市场规模在 2024 年为 11 亿美 元，预计到 2032 年将达到 21.8 亿美元，在 2025-2032 年预测期内的复合年增长率为 9.05%。这一 趋势，加上大量投资和半导体的持续进步，使消费电子产品成为该市场增长的核心驱动力。 亚太、北 ...

同时，公司独立董事曹钟勇、邹甫文也对换届选举、延期召开2024年度股东大会等议案投了反对票。曹 钟勇给出的理由是经营层领导班子波动太大。邹甫文则表示，希望延期的时间更合理，以便解决各方对 于董事会换届问题存在的分歧，使得换届平稳进行，利于公司健康发展，保护小股东利益。 对此，6月9日，复旦微电相关负责人向证券时报记者表示，公司尊重相关董事会成员、股东表达自身观 点的权利。 根据安排，公司将于6月18日召开的2024年度股东周年大会上审议上述董事会换届事宜。新董事会董事 任期自该次股东大会审议通过之日起生效，任期三年。 "从之前公司董事会对换届的投票结果看，分歧比较明显。目前我们一是关注延期至6月18日的股东周年 大会情况；二是随着AI、边缘计算等高增长领域的蓬勃需求，FPGA正展现出巨大的应用潜力，公司如 何把握行业机遇，以及未来有哪些措施来改善经营。"近日有复旦微电的机构投资者向证券时报记者表 达了些许看法。 据5月31日公告，公司董事会审议通过了第十届董事会换届方案、延期召开股东大会等议案。但从投票 结果来看，彼时复旦微电执行董事兼总经理及两位独立董事对相关议案提出了异议。 其中，复旦微电执行董事兼总经理 ...

近几年时间里，NPU成为了AI浪潮中意外爆火的芯片之一，除了人手一部的智能手机外，愈来愈多 的笔记本电脑也开始内置NPU，在厂商不断吹捧AI功能的背后，都离不开NPU的助力。 近几年时间里，NPU成为了AI浪潮中意外爆火的芯片之一，除了人手一部的智能手机外，愈来愈多 的笔记本电脑也开始内置NPU，在厂商不断吹捧AI功能的背后，都离不开NPU的助力。 然而，对于大多数人而言，NPU仍然是一个相对陌生的概念。它与我们熟悉的CPU、GPU有何不 同？为什么在AI时代突然变得如此重要？ 这个看似神秘的芯片，其实有着深厚的技术积淀和清晰的发展脉络，要理解NPU为何能在短短几年内 从实验室的概念验证走向大规模商用，我们不妨从它最初的起源开始。 NPU的诞生 传统的中央处理器（CPU）在数学运算与逻辑控制方面表现卓越，但其工作原理与人脑运行机制存在 根本差异。CPU采用串行指令处理方式，而人脑则依托数以千亿计的神经元实现并行激活与实时响 应。这种架构差异使得CPU在模拟类脑计算时效率低下，难以胜任复杂的智能任务。 NPU的设计理念则另辟蹊径。它并非简单模拟大脑功能，而是从结构层面汲取灵感——通过硬件级并 行处理架构，重新定 ...

Core Insights - The 2025 Hannover Messe showcased the ongoing transformation in the industrial sector driven by artificial intelligence, particularly generative AI, although no groundbreaking technologies were introduced [1] - The report by IoT Analytics highlighted that generative AI has become an integral part of industrial software, moving beyond being a buzzword to a common feature in major industrial software products [3][4] - Agentic AI is emerging as the next significant trend in the industry, although it remains in its early stages of development [7][9] Trend Summaries Trend 1: Generative AI Fully Integrated into Industrial Software - Generative AI has transitioned from a focus on coding to being embedded across industrial software, with major software vendors showcasing integrated functionalities [3] - Leading companies like Siemens and ABB have developed various industrial assistants that leverage generative AI for tasks such as design, planning, and operational support [4][6] Trend 2: Emergence of Agentic AI - Agentic AI is viewed as a significant future opportunity, with many vendors promoting its capabilities, although practical applications are still limited [7][9] - Companies are exploring multi-agent frameworks, but these remain in early exploratory phases without substantial real-world validation [8] Trend 3: Significant Innovations in Edge Computing - Edge computing is evolving to integrate AI technology stacks, enhancing local processing capabilities and responsiveness [10] - Companies like Bosch Rexroth are demonstrating platforms that support AI model deployment at the edge, optimizing for specific industrial scenarios [10][11] Trend 4: Growing Demand for DataOps Platforms - DataOps is becoming essential for managing the increasing volume of data in industrial settings, with platforms expanding their capabilities to support AI lifecycle management [13][14] - Companies are focusing on data governance to ensure compliance with regulations like GDPR, enhancing data observability and tracking [14] Trend 5: AI-Driven Digital Threads Transforming Design and Engineering - Digital threads are reshaping engineering processes by ensuring data continuity throughout the product lifecycle, as demonstrated by Siemens' new solutions [17] - Autodesk's Project Bernini showcases how generative AI can enhance early design processes, promoting a multi-modal design approach [17] Trend 6: Sensorization of Predictive Maintenance - Predictive maintenance solutions are increasingly integrating custom hardware with analytics models, focusing on sensor quality and system compatibility [18][19] - New solutions are extending predictive maintenance capabilities to previously overlooked asset categories, enhancing monitoring and fault detection [18] Trend 7: Rising Demand for Private 5G Networks - The demand for private 5G networks is growing, particularly in the US and Asia, but integration with existing infrastructure remains a significant challenge [21][22] - Companies are developing solutions that combine generative AI, edge computing, and private 5G for real-time industrial safety and asset monitoring [22] Trend 8: Sustainable Solutions Enhanced by AI - AI is improving carbon emissions tracking and compliance efficiency, with various applications being upgraded to enhance data visibility and accuracy [23] - Collaborative efforts, such as those between Microsoft and Accenture, are optimizing compliance processes through AI integration [23] Trend 9: Cognitive Capabilities Empowering Robotics - Robotics manufacturers are incorporating cognitive AI and voice interaction features, allowing users to control robots through voice commands [24] - This trend aims to enhance flexibility and reduce the need for specialized skills in manufacturing and logistics [24] Trend 10: Digital Twins Evolving into Real-Time Industrial Co-Pilots - Digital twins are transitioning from static models to dynamic tools that assist in operations, training, and quality control [25] - Companies like EDAG Engineering and Siemens are showcasing how AI-driven digital twins can optimize processes and enhance training efficiency [25]

Group 1: Overview of Private Economy in Guangzhou - The implementation of the "Guangzhou Support for Private Economy Development Regulations" has led to significant growth in the private sector, with private economic value added accounting for 43.5% of GDP in Q1, a five-year high [1] - The number of private economic entities in Guangzhou has surpassed 3.5 million, with new registrations leading among major cities, establishing the private sector as a key driver of economic growth [1][9] Group 2: Innovations and Achievements of Private Enterprises - Deqing Optical Technology Co., Ltd. has developed a laser welding online defect detection system, marking a breakthrough in domestic technology and achieving a detection process completion within 50 milliseconds [2] - Guangdong Niuentai New Energy Technology Co., Ltd. has created an AI-driven research system that has improved product efficiency by 27% and introduced a globally unique "photovoltaic + air energy" integrated energy storage system [5] - New Life New Materials Co., Ltd. has filled domestic gaps with innovative magnetic display materials, achieving over 30 iterations in product development and maintaining a high R&D investment ratio of 10% [5] - Weidu Microelectronics Technology Co., Ltd. focuses on domestic substitution in display driver chips, with a projected tripling of output in 2024, achieving over 100 million yuan in industrial output [6][8] Group 3: Government Support and Policy Framework - The Guangzhou government has established a comprehensive support system for private enterprises, focusing on land, finance, talent, and technology to promote high-quality development [15] - The government has implemented policies to reduce industrial land costs by 40% and has facilitated access to funding, with Weidu Microelectronics' credit increasing from 10 million to 80 million yuan [16] - The "Xin Yi Loan" platform has served over 920,000 enterprises, disbursing loans exceeding 270 billion yuan, addressing financing challenges for small and medium-sized enterprises [16] Group 4: Future Prospects and Growth - In 2024, Guangzhou has nurtured 106 national-level specialized and innovative "little giant" enterprises, with six private companies listed domestically and internationally [17] - The city plans to deepen the implementation of the regulations, focusing on early and small investments, and enhancing services throughout the lifecycle of private enterprises [17]

作者：周源/华尔街见闻 6月5日和之前一日，AMD次第宣布连续完成两笔战略收购：以未公开条款收购开源软件公司Brium，以 及从AI推理芯片开发商Untether AI收购核心工程师团队。 这两笔交易是AMD继2023年收购Mipsology、Nod.ai及2024年收购Silo AI后的最新动作，标志着AMD构 建全栈AI解决方案的战略进入新阶段。 AMD的这两笔交易，旨在构建"芯片-软件-系统"三位一体的竞争力。 Untether AI的芯片设计能力强化了AMD在边缘计算和数据中心的硬件实力，而Brium的软件优化能力， 填补了AMD在推理环节的生态短板。 这种"软硬兼施"的策略与AMD此前收购Mipsology（编译器）、Nod.ai（框架适配）等公司的逻辑一 致，目的都是形成完整的AI技术栈。 Brium的核心技术是优化AI推理软件在不同硬件架构上的运行效率。 该公司更重要的技术路线主要集中在云端AI软件生态，工具被集成到PyTorch官方插件库，开发者可通 过简单配置，实现AMD硬件加速。这种开源策略有助于吸引更多开发者使用AMD平台，逐步打破英伟 达 CUDA的垄断地位。 换句话说，Brium开发 ...

天准科技688003 时间: 2025年6月6日星期五 48.41分综合得分 偏弱 趋势方向 主力成本分析 47.80 元 当日主力成本 48.50 元 5日主力成本 48.86 元 20日主力成本 50.35 元 60日主力成本 周期内涨跌停 过去一年内该股 涨停 1次 跌停 0 次 短期支撑位 54.44 中期压力位 45.45 中期支撑位 北向资金数据 | 持股量31.83万股 | 占流通比0.16% | | --- | --- | | 昨日净买入0.17万股 | 昨日增仓比0.001% | | 5日增仓比0.02% | 20日增仓比-0.033% | 技术面分析 52.72 短期压力位 48.18 股价跌破短期支撑位，短线观望为宜； 目前中期趋势不慎明朗，静待主力资金选择方向 K线形态 暂无特殊形态 资金流数据 2025年06月06日的资金流向数据方面 | 主力资金净流出3691.00万元 | | --- | | 占总成交额-18% | | 超大单净流出1846.29万元 | | 大单净流出1844.71万元 | | 散户资金净流出72.88万 | 关联行业/概念板块 通用设备 -0.52%、机器视觉 ...

以下文章来源于量子位智库 ，作者量子位智库 量子位智库 . 连接AI创新，提供产业研究 量子位智库 发自 凹非寺 量子位 | 公众号 QbitAI 如果要问近期最火热的AI硬件品类是什么， AI眼镜 一定榜上有名。 从Ray-Ban Meta的销量屡破上限，到雷鸟V3的火热开卖，再到凭借演讲提词功能出圈的 Rokid Glasses，及「李书福同款」的StarV Air2，不同配置、不同功能的AI眼镜产品层出 不穷。 大模型改写智能眼镜进程：AI眼镜站上风口 报告中研究的AI眼镜，主要指接入大语言模型或多模态模型，具备语音交互、图像识别、信 息显示等典型功能的智能眼镜。随着AI大模型、AR显示、微型传感与边缘计算的融合突破， AI眼镜正以更成熟的姿态进入大众视野。 「百镜大战」序幕拉开，第一批量产商用接受市场检验 我们可以看到，AI眼镜逐渐从场景佩戴转向追求全天候佩戴，产品受众也逐渐从科技发烧友 扩展到更大众化的用户。 随着AI眼镜供给侧与需求侧的双向火热，今年以来，「百镜大战」的言论不绝于耳。但实际 上截至目前，现货交付的AI眼镜产品仍寥寥无几。 百镜大战是否名不副实？AI眼镜市场现状到底是什么样的？具备哪 ...