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2025世界智能制造大会即将召开之际,探访我市相关企业和生态街区——
Nan Jing Ri Bao· 2025-11-26 02:29
2025世界智能制造大会27日即将开幕。人工智能(AI)是智能制造的核心驱动力,智能制造是人 工智能技术的重要应用场景和落地载体。11月25日,记者对南京多家AI领军企业及生态街区进行实地 探访,感受这座城市人工智能产业蓬勃兴起的"能"量脉动。从栩栩如生的数字分身,到"照镜问诊"的智 能中医,从地上懂人心的智能座驾,到空中不断线的卫星互联——人工智能的"能",不仅是令人惊叹的 技术超"能"力,更是对千行百业的扎实赋能。在南京,"人工智能+"正以前所未有的广度与深度,提升效 率、优化体验、重塑场景,为培育新质生产力持续注入满满"能"量。 能"分身":虚拟员工上岗,用户"分身有术" 笑起来肌肉自然提拉,唇周皮肤随表情形成细微褶皱,发丝随动作轻轻颤动……走进南京硅基智能 科技集团股份有限公司,一块块竖立的屏幕上,数字人律师、主播、医生栩栩如生。正是这些"真假难 辨"的数字人,让人类真正实现"分身有术"。 近年来,随着人工智能及数字技术等的发展,数字人的精细度和智能化水平不断提升,一大批数字 人走上不同工作"岗位",加速融入日常生活。 国家发展改革委等部门印发的《关于打造消费新场景培育消费新增长点的措施》提出,在明确 ...
南京AI:“能”量满满 赋“能”百业
Nan Jing Ri Bao· 2025-11-26 02:26
Core Insights - The article highlights the rapid development and integration of artificial intelligence (AI) across various sectors in Nanjing, emphasizing its role as a core driver of smart manufacturing and digital transformation [2][9]. Group 1: AI Applications in Various Industries - AI is being utilized in diverse fields such as smart terminals, smart vehicles, smart IoT, and smart healthcare, showcasing its broad applicability and transformative potential [2]. - Digital humans are being deployed in various roles, enhancing user experiences and operational efficiency in sectors like e-commerce and content creation [3][4]. - The integration of AI in traditional practices, such as Chinese medicine, is exemplified by the AI smart diagnosis system developed by Nanjing Haowei Health Technology, which combines advanced AI models with traditional medical knowledge [5][6]. Group 2: Innovations in Smart Vehicles and Connectivity - Smart vehicles are becoming more intuitive, with AI systems that understand user intentions and enhance driving experiences, as demonstrated by the "滴水OS" developed by Zhongke Chuangda [7]. - Satellite technology is being leveraged to ensure continuous connectivity for heavy machinery in remote areas, showcasing the potential of AI and satellite networks in enhancing operational capabilities [8]. Group 3: Ecosystem and Collaborative Development - Nanjing's innovation ecosystem, characterized by collaboration between large enterprises, universities, and research institutions, is fostering a conducive environment for AI development and application [10]. - The establishment of AI industrial clusters, such as the AI International Community in Nanjing, is facilitating the integration of resources and expertise, driving advancements in AI technologies [10].
年度人工智能创新实践大奖
Nan Fang Du Shi Bao· 2025-11-24 23:07
聚焦AI大模型、机器学习等技术在金融风控、智能投顾等核心场景的创新应用,能通过效率提升、成 本降低等指标体现价值,对行业AI创新发展有示范引领作用。 获奖机构 中国银行股份有限公司深圳市分行 中国平安保险(集团)股份有限公司 颁奖词 中国平安保险(集团)股份有限公司 平安集团持续加大数字化与AI投入,在算力、数据、算法与场景上形成核心竞争力。在营销端,数字 人用于远程面审、培训、客服、内容生成;在服务端,年超20亿人次客服由AI完成;在运营端,车险 智能化出单覆盖1.2亿单,耗时降至1.2分钟。 深圳前海微众银行股份有限公司 微众银行AI能力涵盖基础设施、应用与治理三层:基础设施上,自研AI工程化平台,推出行业首款自 研交换机;应用上,打造了"数智网点"智能财富管理服务,可为客户提供智能解答、产品推荐等服务; 治理上,构建"AI热力图",并将AI风险纳入全行管理体系。 深圳前海微众银行股份有限公司 宁波银行股份有限公司深圳分行 博时基金管理有限公司 重庆蚂蚁消费金融有限公司 获奖理由 中国银行股份有限公司深圳市分行: 中行深圳市分行构建覆盖金融核心场景的智能体技术体系,创新多种技术架构,使智能体能够执行复杂 ...
数字交互领域选广州市中熠科技,数字人/全息互动软件/三维全息成像,技术领先服务多元
Sou Hu Cai Jing· 2025-11-23 17:31
在数字化浪潮席卷全球的当下,数字交互技术正以惊人的速度重塑各行业的展示与沟通模式。作为数字交互领域的创新引领者,广州市 中熠科技有限公司凭借其核心业务——数字人、全息互动软件、三维全息成像,为教育、文旅、商业展示等领域提供了高效、沉浸式的 解决方案。公司深耕行业多年,已形成从技术研发到场景落地的完整生态链,累计服务客户超500家,覆盖全国20余个省市,成为数字交 互领域备受信赖的技术服务商。 公司主营业务:数字人、全息互动软件、三维全息成像——三大核心驱动数字交互升级 在场景落地方面,公司以"技术+服务"双轮驱动,为客户提供定制化解决方案。例如,在教育领域,公司为某中学打造了"全息历史课 堂",通过三维全息成像还原历史场景,结合数字人讲解,学生课堂参与度提升60%,知识留存率提高45%;在文旅领域,公司为某景区 设计了"全息导览系统",游客可通过手机扫描景点获取全息介绍,项目上线后游客满意度达92%,复游率提升30%。 客户案例:从单一项目到长期合作的信任积累 广州市中熠科技有限公司的客户覆盖教育、文旅、商业、医疗等多个领域,其中不乏行业头部企业。例如,公司与某知名教育集团合 作,为其全国50余所校区部署数字 ...
百度集团-SW(9888.HK):AI业务线展现强劲增长势头
Ge Long Hui· 2025-11-19 21:08
Core Insights - Baidu Group reported a total revenue of 31.2 billion yuan in Q3 2025, a year-on-year decline of 7.1%, which was better than the expected decline of 8.6%, primarily due to strong growth in AI cloud revenue and a less severe drop in core advertising revenue [1] - The company disclosed three major AI business lines, collectively generating approximately 10 billion yuan in revenue, accounting for about 40% of Baidu's core total revenue, with a robust year-on-year growth exceeding 50% [1] - The non-GAAP net profit for Q3 2025 was 3.8 billion yuan, with a non-GAAP net profit margin of 12.1%, surpassing the expected 8.6% [1] Baidu Core Business - Baidu's core revenue decreased by 7.0% to 24.7 billion yuan in Q3 2025, better than the expected decline of 8.7%, mainly driven by rapid growth in AI cloud revenue [2] - Advertising revenue fell by 18% to 15.3 billion yuan, influenced by the AI search transformation, with 70% of mobile search result pages containing AI-generated content by the end of October [2] - Non-advertising revenue increased by 21% to 9.3 billion yuan, with AI cloud revenue also growing by 21% to 6.2 billion yuan, and subscription revenue from AI high-performance infrastructure surged by 128% [2] New AI Business Lines - The newly disclosed AI business lines include: 1. Smart Cloud Infrastructure, generating 4.2 billion yuan in Q3 2025, up 33% year-on-year, with AI high-performance computing subscription revenue growing by 128% [2] 2. AI Applications, generating 2.6 billion yuan, with a year-on-year growth of 6% [2] 3. AI Native Marketing Services, generating 2.8 billion yuan, with a remarkable year-on-year growth of 262% [2] - Management anticipates accelerated growth for these three AI-enabled business lines in the future [2] Autonomous Driving - Baidu's autonomous driving service, "LuoBo Kuaipao," has expanded to cover 22 cities globally, achieving 100% unmanned operation in domestic cities [3] - In Q3 2025, the order volume for LuoBo Kuaipao reached 3.1 million, a year-on-year increase of 212% [3] - The management plans to continue rapid expansion of autonomous driving services while ensuring safety [3] Profit Forecast and Valuation - The company adjusted its non-GAAP net profit forecasts for 2025, 2026, and 2027, increasing by 19.7%, 1.6%, and decreasing by 1.4% to 19.4 billion, 21.5 billion, and 24.1 billion yuan respectively [3] - The valuation window has been shifted to 2026, with a target price of $243.2 for US stocks and HK$235.4 for Hong Kong stocks [3]
热闹赛场 硬核科技
大型赛事历来考验城市的综合运转能力,而科技正是其中的"外挂"。全运会不仅比拼竞技实力,也在展 示城市的智慧水平。自动驾驶在广州接驳观众,香港的智能通关让过境只要几秒,澳门的智慧交通系统 实时解决路面问题……这些技术让赛会期间高度集中的人流、物流、交通与跨区域活动,都在有条不紊 中实现高效协同。科技让城市在高负荷运行下,依然平稳自如,也让人们看到了未来城市的更多可能。 从开幕式的电光水雾主火炬到智慧场馆全面升级,从AI义工向导到城市自动驾驶出行服务,科技几乎 融入了这届全运会的每一处细节。人们在观看比赛的同时,也在亲身体验各类科技创新,收获惊喜与感 动。 对于观众而言,赛场上看到的是热闹与激情,而仔细想想,这背后其实有强大的科技在稳稳托底。走进 宝安体育中心的智慧指挥中心,巨大数字大屏上,成千上万台设备的数据实时跳动。它像一个会思考的 大脑,让场馆运行更加高效、安全。本届全运会的比赛场馆,不再只是传统意义上的体育馆,而是 更"聪明"的智能空间。AI摄像机能自己追踪运动员,数字人能实时讲解比赛,机器人可以巡逻安防…… 这些技术并非花架子,而是让赛事更顺畅、精准、专业的关键支撑。 在深圳龙岗大运中心,羽毛球馆屋顶6 ...
热闹赛场 硬核科技(赛场点睛)
Core Insights - The integration of technology in the National Games showcases advancements in smart venues, AI assistance, and sustainable energy solutions, enhancing the overall experience for spectators and participants [1][2] Group 1: Technological Innovations - The event features a range of technological innovations, including AI cameras that track athletes, digital avatars providing real-time commentary, and security robots patrolling venues, which contribute to a smoother and more professional event [1] - The smart command center at Bao'an Sports Center utilizes real-time data from thousands of devices, improving operational efficiency and safety [1] Group 2: Sustainability Efforts - All competition venues in the Shenzhen area utilized 100% green electricity during the event, resulting in a reduction of approximately 50,000 tons of carbon emissions, equivalent to planting 2.7 million trees [1] - The installation of 6,500 square meters of photovoltaic panels at the badminton venue and a 40% reduction in energy consumption from LED sports lighting in the swimming venue highlight the commitment to sustainability [1] Group 3: Urban Mobility and Smart City Solutions - The event demonstrated the city's smart capabilities, with autonomous vehicles transporting spectators, intelligent customs in Hong Kong facilitating quick border crossings, and real-time traffic management in Macau [2] - The technologies implemented during the event are expected to continue benefiting urban life and industries post-event, indicating a long-term impact on urban infrastructure [2] Group 4: Societal Impact - The technological advancements showcased during the National Games are not just for the event but are also aimed at improving everyday life, with applications for special needs communities and potential use in various public spaces [2] - The event serves as a catalyst for industrial upgrades, with the benefits of technology extending beyond the sports arena into broader societal applications [2]
在智能化浪潮中重塑媒体力量——2025中国新媒体大会综述
Xin Lang Cai Jing· 2025-11-15 03:35
与科技创新共同进步,是媒体发展的鲜明特征。 从"数与网"到"云与智",当前,主流媒体正通过技术重构生产流程、传播逻辑和行业生态。一年一度的 中国新媒体大会,让初冬的长沙"新意"涌动,身处智能化浪潮中的主流媒体聚集一堂,交流探讨如何主 动应变,构建内容与人工智能协同融合的新型主体媒体。 内容定力: 在算法浪潮中坚守价值坐标 面对智能浪潮的汹涌,主流媒体没有随波逐流,而是坚守初心。 "主流媒体当如'山',奋力打造一座座由内容精品构筑的'文化山脉'和'时代峰峦',切实履行举旗帜、聚 民心、育新人、兴文化、展形象的职责使命。" "在信息爆炸、众声喧哗的传播环境中,专业、正气与鲜明价值底色成为主流媒体不可替代的核心优 势。" "在主流媒体系统性变革的浪潮中,新闻人不能缺席。百姓立场在哪里,媒体人的现场就该在哪里。" 中国新媒体大会上,这些"不变"仍被媒体人反复提及。牢牢坚持正确价值观,依然是主流媒体应当守住 的"根"与"本"。但传播不是生硬的说教灌输,盲目追逐流量、抛弃内容,将沦为数字泡沫;固守旧有模 式、拒绝创新,也会被受众遗忘。如何让内容创作"破圈""入耳",是媒体创作者关心的话题。 今年九三阅兵报道中,新华社出图 ...
百度越过临界点,开启价值重估
21世纪经济报道· 2025-11-13 13:30
Core Viewpoint - The article emphasizes that Baidu's recent stock price surge is not merely a rebound but a delayed value reassessment, reflecting the company's significant internal restructuring and transformation into an AI platform company [1][3]. Group 1: Baidu's AI Strategy and Transformation - Baidu has integrated its AI strategy into its core business, showcasing a comprehensive capability demonstration at the Baidu World Conference 2025, marking a shift from being viewed solely as a search engine to a full-stack AI platform [3][6]. - The company has built a robust AI infrastructure over the past decade, which is difficult for competitors to replicate in the short term, positioning itself as a leader in AI and cloud computing [6][12]. - Baidu's AI capabilities have been internalized into its operations, leading to significant upgrades in its core businesses, such as search and cloud services, enhancing user experience and engagement [12][13]. Group 2: Product Development and Market Position - The new generation of Kunlun chips, designed for AI applications, is set to launch in the coming years, with significant performance and cost advantages, already being deployed in major enterprises and universities [10][11]. - Baidu's deep learning platform, PaddlePaddle, serves as the foundation for its AI applications, supporting a wide range of functionalities and becoming a preferred choice for developers [11][12]. - The company has achieved a leading position in the AI search market, with active user numbers reaching 382 million by September 2025, reflecting the effectiveness of its AI integration [13]. Group 3: External Empowerment and Industry Impact - Baidu's AI capabilities are not only enhancing its internal operations but also empowering external partners, with significant adoption among state-owned enterprises and major financial institutions [14]. - The autonomous driving service "Luobo Kuaipao" has become a key growth driver, with over 250,000 fully autonomous orders per week, establishing Baidu as a pioneer in the global autonomous driving sector [15][16]. - The company's strategic focus on long-term AI development and commercial application has led to a fundamental change in its business model, transitioning from a traditional internet company to a comprehensive AI platform [16].
李彦宏:内化AI,让智能成为生产力
Sou Hu Cai Jing· 2025-11-13 11:32
Core Insights - The article emphasizes the transition from "intelligent emergence" to "effect emergence" in the AI industry, highlighting that companies must effectively utilize AI to remain competitive and individuals must harness AI to shape their futures [2][4][11] - Baidu, as one of the earliest adopters of AI, is showcasing a Chinese solution to help enterprises internalize AI capabilities, marking a new phase in realizing AI's commercial value [2][4] AI Industry Structure - The AI industry structure is shifting from an unhealthy "pyramid" to a healthy "inverted pyramid," where the value generated by models is ten times that of chips, and AI applications can create a hundred times the value of models [4][6] - This new structure promotes a sustainable ecosystem where applications, rather than chips, are the primary value creators [4][6] Internalizing AI Capabilities - Companies are encouraged to internalize AI capabilities, transforming AI from a cost into a productivity driver, enhancing decision-making, discovering new growth points, and improving efficiency [4][6][11] - Three representative application directions for internalizing AI capabilities include: 1. AI replacing repetitive tasks, exemplified by tools like Wenxin Kuai Ma for programming assistance [4][6] 2. Unlimited supply of productivity through AI-generated content, with 70% of search results now being AI-generated [4][6] 3. AI surpassing human cognition by discovering previously unknown solutions through enhanced model training [4][6] Digital Humans as New Interfaces - Digital humans are identified as a new multimodal product form and a universal interaction interface in the AI era, with significant application potential [6][8] AI Transformation in Search - Baidu is leading the global transformation of search engines by integrating AI into search result pages, achieving a 70% coverage of rich media in top search results, enhancing user experience [6][9] Autonomous Vehicles and Future Mobility - The advent of autonomous vehicles is expected to revolutionize urban living, with projections indicating a significant reduction in ride-hailing costs and a corresponding increase in demand [6][9] AI for Optimal Solutions - Baidu introduced a self-evolving AI system called "Famo," capable of finding global optimal solutions across various fields, including transportation and energy [8][9] Call to Action - The article concludes with a call for individuals and organizations to adapt their problem-solving approaches to leverage AI effectively, emphasizing the need for a collective effort to realize the potential of AI in driving productivity and economic growth [8][11]