答：目前市面上的智能体大多都在强调"通用型"，目标 是能适应大部分场景，但我们认为 AI agent 并非"万能工 具"，在行业的深度知识不足的情况下，通用型智能体很难 提升用户体验。因此，结合公司在康养垂直领域的布局及长 期积累，我们选择持续深耕居家养老和健康管理领域。同时 要打通线下服务，让 AI agent 突破线上数据的局限性，从 "信息处理者"进化到"服务执行者"，最终演进为"感知 -决策-执行"的一体化系统。 答：公司基于居家养老场景的 AI 智能体预计将在二季度 发布。发布会具体安排敬请留意公司官网、微信公众号（国 脉科技 GMTECH、国脉大学养老）及视频号（国脉大学养 老）预告信息。 3、公司的 AI Agent 有何不同？ 从长者或其家属对养老方案有初步兴趣开始，到成功 入住或选择相应方案为止。在这一阶段，AI Agent 不 只是公司精准获客的高效助手，更是帮助长者和家属 理解、评估并顺利过渡到新生活模式的引导者。 2、公司的 AI agent 具体何时发布？ 证券代码：002093 证券简称：国脉科技 国脉科技股份有限公司 投资者关系活动记录表 编号：2025-004 | |  特定 ...

概念优中选优 量产飞奔"上马" 看南邮新一代信息技术概念验证中心如何炼成"火眼金睛" 在南京邮电大学新一代信息技术概念验证中心，有一位特殊的"心理医生"。它近1米高，通过AI语音对 答、扫描面部微表情、心率识别等技术，只用约10分钟就能"拿出"一份"可视化"情绪分析报告，为心理 健康辅助诊断提供参考依据。 该项产品在一年半前仅是一个"概念"，如今已经申报注册国家二类医疗器械，有望今年底实现量产。 据了解，南京邮电大学新一代信息技术概念验证中心近两年已开展28个概念验证项目，其中12项成果完 成了转化，转化金额累计4500万元。作为一家高校运营的概念验证中心，是如何在项目筛查中炼成"火 眼金睛"，又怎样快速助产、推动项目落地，实现科技创新与产业创新融合？日前，记者走进该中心寻 找答案。 □ 南京日报/紫金山新闻记者 张安琪 "筛珍珠"的流程主要分为两阶段进行。"要先初筛，主要通过现场访谈形式进行量化评分，并利用AI辅 助评分。对经过初筛的项目，还要借助'概念验证大赛'、专家评估等形式，进行技术团队、技术水平、 市场前景、转化风险等多维度评审。"徐佳介绍，概念验证中心每个遴选出来的拟立项项目，都要闯过 这几关，" ...

Core Viewpoint - The digital industry in China is expected to maintain stable operations in 2024, with steady growth in business revenue and profits, optimized industrial structure, enhanced innovation capabilities, and accelerated international expansion, serving as a crucial support for the integration of the real economy and digital economy [1] Group 1: Digital Industry Performance - In 2024, the digital industry revenue in eastern China is projected to grow by 6.5%, accounting for 73.6% of the national total, while the central, western, and northeastern regions will see revenue growth of 4.2%, 0.8%, and 2.5% respectively [1] - The top ten provinces in digital industry revenue, including Guangdong, Jiangsu, Beijing, and others, contribute 81.5% of the national total and account for 99.5% of the revenue growth [1] Group 2: Digital Industry Clusters - Digital industry clusters are formed by enterprises engaged in digital product manufacturing, services, and technology applications, characterized by strong core competitiveness and reliance on information networks for collaborative manufacturing [2] - Four major digital industry clusters in China include: 1. Artificial Intelligence in Haidian District, Beijing 2. Integrated Circuits in Shanghai, Shenzhen, and Beijing-Tianjin-Hebei 3. Optoelectronics in Hubei 4. Computing Power in Guizhou and Inner Mongolia [3] Group 3: Regional Development and Challenges - Distinct digital industry clusters have emerged in various regions, such as the Beijing-Tianjin-Hebei area focusing on AI and quantum information, the Yangtze River Delta on industrial internet and smart manufacturing, and the Guangdong-Hong Kong-Macau Greater Bay Area on consumer electronics [4] - Current challenges include uneven regional distribution, homogeneous competition, and a lack of leading enterprises, prompting experts to recommend government-led development planning for digital industry clusters [4] Group 4: Future Strategies - There is a call for local governments to develop digital industry maps, implement differentiated development strategies, and strengthen ecosystem construction to cultivate competitive digital enterprises [5] - The goal is to promote digital product consumption upgrades, support digital enterprises in expanding globally, and build world-class digital industry clusters [5]