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中国电信展示智能制造领域创新成果(附图片)
Xin Lang Cai Jing· 2025-11-25 00:08
"翼工云工业互联网平台"是湖北电信面向中小企业量身打造的跨行业工业互联网平台,具有"小、快、轻、准"等特点,提供低成本、模块化、易部署、高适 配的数智解决方案,已覆盖18个重点行业,提供150余种场景化解决方案,满足中小企业对"轻量级、高性价比、敏捷交付"的数智升级诉求。 惠企赋能展区展示了面向能源、化工、汽车、光电子、装备制造、矿山等领域的20余项5G融合应用解决方案,呈现了中国电信在推动传统产业智能化升级 中的创新实践与落地成效。 在互动体验展区,多款机器人及智能设备在现场模拟的工业场景中高效运作,其中,一款人形机器人展示了基于5G确定性专网的汽车质检巡检应用,其灵 活作业能力和AI视觉检测技术吸引了众多参观者驻足。 11月21日,以"万物互联、智能领航"为主题的2025中国5G+工业互联网大会在湖北武汉隆重开幕。中国电信以"云改数转擎苍势·智惠工业联万物"为主题亮相 创新成果展示,全面展示了在工业数字化转型与智能制造领域的创新成果和实践经验。 在智联智造展区,中国电信展示了"六张网"工业应用成果,涵盖移动网、宽带网、物联网、卫星网、视联网和算力网,全面支撑从地面通信到卫星互联,从 物联感知到量子安全,适 ...
筑牢数字底座 赋能智能制造——中国电信亮相2025中国5G+工业互联网大会
Sou Hu Cai Jing· 2025-11-22 17:31
筑牢数字底座 赋能智能制造——中国电信亮相2025中国5G+工业互联网大会 极目新闻记者兰莎 通讯员许国胜 蔡源源 11月21日,以"万物互联,智能领航"为主题的2025中国5G+工业互联网大会在湖北武汉隆重开幕。中国电信以"云改数转擎苍势・智惠工业联万物"为主题精 彩亮相创新成果展示,全面展示了在工业数字化转型与智能制造领域的创新成果与实践经验。 . P 200 TATATAT ATATATA 0 北京大学部分 4 2 2 2 2 5 3 5 a 4 n 在人工智能领域,中国电信构建"全模态、全尺寸、全国产"的大模型技术体系,打造星辰MaaS平台,集成"算力-模型-数据-工具-应用"全链条服务,满足超 过100个行业的应用场景需求,已落地500余款企业级智能体。星海・可信数据空间汇聚日均1.6PB多源数据,为模型训练提供了高质量的数据支持。同时, 依托5G连接能力和边缘AI算力,结合行业大模型与数据底座,中国电信的工业AI能力已在工业视觉、故障预测等典型工业场景中实现广泛应用,助力企业 智能化升级。 在数转引擎展区,中国电信重点展示了自主研发的工业互联网平台、翼智企采控一体平台等四大核心平台,精准对接企业数 ...
中国电信硬核科技闪耀2025年世界互联网大会
Xin Lang Cai Jing· 2025-11-06 00:00
Core Viewpoint - The 2025 World Internet Conference "Internet Light" Expo, held from November 6 to 9 in Wuzhen, Zhejiang, showcases China Telecom's innovations in cloud computing, AI, and other strategic emerging industries under the theme "Starry Intelligence for Co-Governance and Sharing" [1] Group 1: Digital Infrastructure - China Telecom emphasizes the "Integrated Computing and Network" service, showcasing the Tianyi Cloud as a national cloud service that connects heterogeneous computing power effectively [2] - The public computing service platform operates with a total computing power of 77 EFLOPS, serving 18 cities and various industry users [2] - The fully domestic computing power system is built on the Zijin computing architecture and integrates various systems to create a comprehensive domestic capability framework [3] Group 2: Innovation and Security - The "New Quality Leadership" section highlights the Starry MaaS platform, which covers over 50 application scenarios in education and government, achieving breakthroughs in AI technologies [4] - China Telecom presents a comprehensive security protection system covering "cloud, network, edge, terminal, data, and space," ensuring the security of critical national infrastructure [4] - The company is actively exploring quantum computing and communication, offering various quantum products that enhance security across multiple scenarios [4] Group 3: Empowering Industries and Society - The "Smart Benefit Industries" and "Smart Connect Families" sections demonstrate AI applications in governance, urban safety, and industrial efficiency, with AI improving textile production efficiency by over 25% [6][7] - AI technologies are reshaping personal experiences, with the introduction of an AI home computing host that integrates various smart home services [7] - Interactive exhibits and experiences at the expo engage audiences, showcasing the potential of AI technology to enhance everyday life and industry challenges [8]
超10万亿Tokens的高质量数据集是怎么炼成的?专访中国电信天翼AI阮宜龙
量子位· 2025-09-26 02:08
Core Viewpoint - The article emphasizes the importance of high-quality datasets in developing and training AI models, highlighting that such datasets are crucial for enhancing model performance and accuracy [4][6][14]. Group 1: High-Quality Data Sets - The company has amassed over 10 trillion tokens of general model corpus data and specialized datasets covering 14 key industries, with a total storage capacity of 350TB [1][6]. - These datasets are not just raw data but are meticulously labeled and optimized, making them ready for immediate application in various industries [3][4]. - High-quality datasets are essential as they directly influence the accuracy, generalization, and usability of AI models, serving as the foundation for effective model training [4][5]. Group 2: Technological Infrastructure - The company has developed the Xingchen MaaS platform, which operates as a data refinery, creating a complete closed loop of "data-model-service" [6][17]. - The platform includes a data toolchain that efficiently processes various data types and a model toolchain that enhances data into usable models, ensuring a robust data lifecycle management [18][19]. - The platform's capabilities allow for the generation of synthetic data for rare or extreme scenarios, enhancing model robustness and safety [18][19]. Group 3: Strategic Considerations - The company's investment in high-quality datasets is driven by national strategy, market demand, and its own operational advantages, positioning itself as a key player in the AI landscape [15][16]. - The government has recognized AI as a national strategy, prompting the company to build data infrastructure that supports AI technology breakthroughs [15][16]. - The company aims to leverage its extensive data resources and customer base to enhance its capabilities in high-quality dataset development [16]. Group 4: Industry Applications - The company has successfully implemented AI solutions in various sectors, such as textile quality inspection, achieving over 95% accuracy in defect detection, significantly improving production efficiency [9][26]. - High-quality datasets have been developed for multiple industries, including healthcare, agriculture, and smart cities, demonstrating the versatility and impact of AI applications [36][37]. - The company has collaborated with various sectors to create tailored datasets that address specific industry challenges, enhancing operational efficiency and service quality [36][37]. Group 5: Future Vision - The company envisions becoming a leading provider of general AI services, focusing on technological advancement, inclusive applications, and an open ecosystem for collaboration [42][43]. - It aims to cultivate a skilled workforce in AI, ensuring that technological innovations translate into practical applications that benefit society [43][44]. - The ultimate goal is to enhance the digital economy while ensuring safety and fairness in AI applications, contributing to a more equitable society [44][45].
DeepSeek一句话让国产芯片集体暴涨!背后的UE8M0 FP8到底是个啥
量子位· 2025-08-22 05:51
Core Viewpoint - The release of DeepSeek V3.1 and its mention of the next-generation domestic chip architecture has caused significant excitement in the AI industry, leading to a surge in stock prices of domestic chip companies like Cambricon, which saw an intraday increase of nearly 14% [4][29]. Group 1: DeepSeek V3.1 and UE8M0 FP8 - DeepSeek V3.1 utilizes the UE8M0 FP8 parameter precision, which is designed for the upcoming generation of domestic chips [35][38]. - UE8M0 FP8 is based on the MXFP8 format, which allows for a more efficient representation of floating-point numbers, enhancing performance while reducing bandwidth requirements [8][10][20]. - The MXFP8 format, defined by the Open Compute Project, allows for a significant increase in dynamic range while maintaining an 8-bit width, making it suitable for AI applications [8][11][20]. Group 2: Market Reaction and Implications - Following the announcement, the semiconductor ETF rose by 5.89%, indicating strong market interest in domestic chip stocks [4]. - Cambricon's market capitalization surged to over 494 billion yuan, making it the top stock on the STAR Market, reflecting investor optimism about the company's capabilities in supporting FP8 calculations [29][30]. - The adoption of UE8M0 FP8 by domestic chips is seen as a move towards reducing reliance on foreign computing power, enhancing the competitiveness of domestic AI solutions [33][34]. Group 3: Domestic Chip Manufacturers - Several domestic chip manufacturers, including Cambricon, Hygon, and Moore Threads, are expected to benefit from the integration of UE8M0 FP8, as their products are already aligned with this technology [30][32]. - The anticipated release of new chips that support native FP8 calculations, such as those from Huawei, is expected to further strengthen the domestic AI ecosystem [30][33]. - The collaboration between DeepSeek and various domestic chip manufacturers is likened to the historical "Wintel alliance," suggesting a potential for creating a robust ecosystem around domestic AI technologies [34].
中国电信上半年营收增长净利润增长,研发投入助力业绩提升
Xin Lang Cai Jing· 2025-08-15 02:47
Core Insights - China Telecom reported a revenue of RMB 2,694.22 billion for the first half of 2025, representing a year-on-year growth of 1.30% [1][2] - The net profit attributable to the parent company was RMB 230.17 billion, with a year-on-year increase of 5.53% [1][2] - The growth in revenue was primarily driven by an increase in service revenue, particularly mobile communication services, which reached RMB 1,066 billion, also growing by 1.3% year-on-year [1][2] Revenue Breakdown - Total service revenue amounted to RMB 2,491 billion, reflecting a year-on-year growth of 1.2% [2] - Fixed-line and smart home service revenue reached RMB 641 billion, with a slight increase of 0.2% [2] - The revenue from industrial digitalization business was RMB 749 billion, indicating strong performance [1][2] User Metrics - The penetration rate of 5G network users increased by 6.1 percentage points compared to the end of the previous year [1][2] - The average revenue per user (ARPU) for mobile users reached RMB 46.0 [1][2] - The broadband comprehensive ARPU was RMB 48.3 [2] Technological Advancements - China Telecom is advancing its "5G+AI+Cloud+Applications" integrated product system, launching products like the 5G industrial control intelligent body [2][3] - The company has developed nearly 500,000 new integrated gateways [2] - Over 80 industry models and 30 industry intelligent bodies have been launched, along with the Starry MaaS platform and Starry Industry Agent platform [2] Infrastructure Development - The total number of 5G base stations reached 4.549 million, and the number of internet broadband access ports was 1.234 billion [3] - Significant progress has been made in new infrastructure construction, particularly in 5G-A network capability upgrades and industrial digitalization [3] Strategic Focus - The company emphasizes the importance of artificial intelligence, computing services, and cloud business as key development directions [3] - There is a commitment to enhancing research and development efficiency and strengthening the transformation of innovative results [3] - The company aims to build a talent center and innovation hub to support its strategic emerging businesses and future industries [3]