格隆汇12月15日丨佳都科技(600728.SH)公布，公司全资子公司广东华之源信息工程有限公司拟以现金 7920万元收购青岛海信微联信号有限公司60%的股权，其中以5412万元的价格受让海信微联现有股东青 岛海信网络科技股份有限公司持有的41%股权（以全额现金支付方式），以2508万元的价格受让海信微 联现有股东北京交大微联科技有限公司持有的19%股权。 ...

Core Insights - The 2025 Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Robotics Industry Conference highlighted the role of AI in transforming traffic systems and the challenges of commercialization [1][2]. Group 1: AI in Traffic Management - AI models are shifting traffic signal control from passive response to proactive prediction, enhancing traffic management efficiency [1]. - In Guangzhou, AI models are used to optimize traffic light configurations at major intersections, significantly improving traffic flow [2]. - The implementation of AI in traffic management has led to 24/7 AI oversight of hundreds of intersections, achieving substantial improvements in efficiency and control [2]. Group 2: Human-Robot Applications - Human-shaped robots are expected to be the first to achieve large-scale application in the traffic sector due to structured product design and stable environments [2]. - The automotive industry is exploring human-robot applications in traffic, with significant market potential identified [2]. Group 3: Challenges in AI Implementation - Two main challenges in deploying AI in urban traffic include the need for algorithm accuracy improvement from 90% to 99.9% and breaking down barriers between different traffic subsystems [2]. - The integration of AI in traffic systems requires a comprehensive approach to ensure effective coordination and response to emergencies [2]. Group 4: Talent Development and Collaboration - There is an urgent need to cultivate "AI + Traffic" interdisciplinary talent to support technological advancements [3]. - Educational institutions are restructuring curricula and establishing partnerships with enterprises to enhance practical skills among students [3]. - Collaboration between academia and industry is essential for sustainable innovation, focusing on shared data and real-world applications [3].

Core Insights - The event highlighted the advancement of AI in traffic management, emphasizing the shift from reactive to proactive decision-making in transportation systems [1][2][4] Group 1: AI Applications in Traffic Management - AI is being utilized to predict and manage large passenger flows at airports, with systems capable of analyzing weather forecasts and social sentiment to anticipate delays and passenger congestion [4] - The implementation of AI-driven traffic signal optimization has expanded from pilot projects in Guangzhou to six major urban areas, significantly improving traffic flow efficiency [5] - The "Road Xiao Ling Tong" AI system enhances real-time monitoring and management of highway networks in Guangdong, addressing the challenges posed by high traffic volumes [5] Group 2: Industry Collaboration and Development - The event aimed to create a collaborative ecosystem involving government, industry, academia, and research to facilitate the integration of AI in transportation and manufacturing sectors [2][6] - The project led by the China Industrial Internet Research Institute focuses on building a comprehensive service platform that connects technology development with industry needs, promoting efficient collaboration [5]

Group 1 - The 2025 Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Robotics Industry Conference (XAIR) focuses on the integration of AI in transportation, emphasizing the need for an open, collaborative, and sustainable ecosystem [1] - The project led by the China Industrial Internet Research Institute aims to create a comprehensive service platform that covers technology research and development, scenario matching, and industrial collaboration, accelerating the integration of AI solutions in key sectors like transportation and manufacturing [1] - The event aims to establish efficient connections between government, industry, academia, research, and investment, facilitating precise matching of demand and technology, and promoting high-quality development in transportation through AI [1] Group 2 - The Chief AI Scientist of Jiadu Technology presented a dual-driven approach using the "Zhixing" industry model and "Traffic Jiahong" operating system to build a smart transportation empowerment system, focusing on real-time network status perception and operational efficiency [2] - The President of the Guangdong Intelligent Transportation Association highlighted the transition of intelligent transportation from "perception and reaction" to "awareness intelligence," which includes predictive and decision-making capabilities, outlining key pathways for this transformation [2] - The event showcased practical applications of AI technologies, such as the "Road Xiaoling Tong" intelligent monitoring and early warning system for highways, demonstrating real-time network status perception and enhanced management efficiency [2] Group 3 - The "AIR+ Transportation" event effectively promoted the deep integration of AI and robotics technology with the transportation industry, contributing to the formation of new productive forces in the transportation sector and the establishment of a modern comprehensive transportation system for the future [3]

Group 1 - The core business of the company is urban cluster three-dimensional transportation, aligning with national policies on new infrastructure and urban renewal [2] - The company is expanding from subways to urban, intercity, and high-speed rail, as well as ground urban transportation and highway networks, with plans to extend into low-altitude fields for comprehensive coverage [2] - The company maintains a research and development investment intensity of no less than 10% of its intelligent revenue annually to establish a first-mover advantage in various sectors [2] Group 2 - The company has introduced a lifecycle approach to construction and operation, using operational data to optimize design parameters and details, which has shown significant efficiency improvements in projects like the Guangzhou and Changsha subways [3] - The overseas market is becoming a crucial growth point for the company, focusing on Southeast Asia and the Middle East, where there are opportunities for both upgrading old lines and constructing new ones [3] - The company anticipates two major trends in the "AI + city" sector over the next 3-5 years: AI will reconstruct traditional processes and operational logic, and the model will shift from "human + machine" to "AI + human" [3]

Group 1 - The core business of the company is urban group three-dimensional transportation, aligning with national policies on new infrastructure and urban renewal [1] - The company is expanding from subways to urban, intercity, and high-speed rail networks, as well as ground urban transportation and highway networks, with plans to extend into low-altitude fields [1] - The company maintains a research and development investment intensity of no less than 10% of its intelligent revenue annually to establish a first-mover advantage in multiple sectors [1] Group 2 - The company has adopted a full lifecycle approach to optimize technical parameters and design details by feeding operational data back into the construction phase, which has shown significant effectiveness in projects like the Guangzhou and Changsha subways [2] - The overseas market is becoming a crucial growth point for the company, focusing on Southeast Asia and the Middle East, where there are opportunities for both upgrading old lines and constructing new ones [2] - In the next 3-5 years, the company anticipates two major trends in the "AI + city" sector: AI will reconstruct traditional processes and operational logic, and the model will shift from "human + machine" to "AI + human" [2]

Core Insights - The article discusses the strategic initiatives of Jiadu Technology Group Co., Ltd. in the smart transportation sector, emphasizing its commitment to technological innovation and market expansion in response to policy support and industry competition. Group 1: Business Strategy - Jiadu Technology's core business segment is urban transportation, aligning with national policies on new infrastructure and urban renewal [1] - The company is expanding its services from subways to regional, urban rail, and high-speed rail networks, as well as ground urban transportation and highway networks, with plans to explore low-altitude transportation [1] Group 2: Technological Innovation - To address industry homogenization, Jiadu Technology maintains a research and development investment of no less than 10% of its revenue annually, aiming to establish a first-mover advantage across multiple sectors [1] - The company has adopted FP8 mixed-precision training technology to enhance training efficiency while reducing GPU memory usage without sacrificing accuracy [1] Group 3: Operational Efficiency - Jiadu Technology has introduced a lifecycle approach to construction and operation, using operational data to inform construction phases, thereby optimizing technical parameters and design details [2] - This model has been successfully implemented in metro projects in Guangzhou and Changsha, resulting in significant efficiency improvements [2] Group 4: Market Expansion - The overseas market is becoming a crucial growth area for Jiadu Technology, focusing on Southeast Asia and the Middle East, where there are opportunities for both upgrading old lines and constructing new ones [2] - The company faces challenges such as cultural differences and risk identification but believes it has a competitive edge in scenario accumulation and technological innovation [2] Group 5: Future Trends - In the next 3-5 years, the "AI + city" sector is expected to see two major trends: the restructuring of traditional processes and operational logic by AI, and the transition from a "human + machine" model to an "AI + human" model [2] - This shift will allow intelligent systems to handle more basic tasks, enabling humans to focus on higher-level judgment and thinking, particularly in transportation scenarios [2]

● 佳都科技集团股份有限公司（以下简称"公司"）控股股东的一致行动人堆龙佳都科技有限公司（以下 简称"堆龙佳都"）持有公司无限售条件流通股103,103,099股，占公司总股本的4.83%；本次部分股份质 押后，堆龙佳都累计质押公司股份数量为68,000,000股，占其所持股份的65.95%。 ● 公司控股股东佳都集团有限公司（以下简称"佳都集团"）及其一致行动人堆龙佳都、广州佳都信息咨 询有限公司（以下简称"佳都信息咨询"）、刘伟先生合计持有公司无限售条件流通股344,771,538股，占 公司总股本的16.17%。本次部分股份质押后，控股股东及其一致行动人累计质押公司股份数量为 108,000,000股，占其合计持有股份的31.33%。 一、股份质押情况 1、股份质押基本情况 本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述或者重大遗漏，并对其内容 的真实性、准确性和完整性承担个别及连带责任。 公司于2025年12月4日收到控股股东的一致行动人堆龙佳都的通知，堆龙佳都将其持有的公司40,500,000 股无限售条件流通股质押给兴业银行股份有限公司广州五羊支行，具体情况如下： 重要内容提示 ...

Core Viewpoint - The announcement from Jiadu Technology indicates that its controlling shareholder's concerted actor, Duilong Jiadu Technology Co., Ltd., has pledged 40,500,000 unrestricted circulating shares to Industrial Bank Co., Ltd., Guangzhou Wuyang Branch [2] Group 1 - Jiadu Technology's controlling shareholder has taken a significant financial step by pledging a large number of shares [2] - The pledged shares amount to 40.5 million, which reflects a strategic move in the company's financial management [2] - The pledge is made to a reputable financial institution, indicating a level of trust and potential financial backing [2]

证券代码：600728 证券简称：佳都科技 公告编号：2025-094 佳都科技集团股份有限公司 关于股东部分股份质押的公告 行，具体情况如下： | | 是否 | | 是否 | 是否 | | | | 占其所 | 占公司 | 质押 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 股东名称 | 为控 | 本次质押 | | | 质押起 | 质押 | | 持股份 | 总股本 | 融资 | | | 股股 | 股数（股） | 为限 售股 | 补充 质押 | 始日 | 到期日 | 质权人 | 比例 | 比例 | 资金 | | | 东 | | | | | | | （%） | （%） | 用途 | | 堆龙佳都 科技有限 | 否 | 40,500,000 | 否 | 否 | 年 2025 | 办理解除 质押登记 | 兴业银行股份 有限公司广州 | 39.28 | 1.90 | 经营 | | | | | | | 12月3日 | | | | | 需要 | | 公司 | | | | | | 手续为止 | 五羊支行 | | | | 1 本次 ...