在上海电影制片厂，国内首部超百分钟生成式人工智能拟真人剧集近日上线，制作周期算短了三分之二，成本大幅降低。项目背后的支撑就是 影视专属算力池，满足实时渲染、文生视频、虚拟拍摄等多样化需求。 上海电影技术厂有限公司副总经理郗岳介绍，预计到2026年，可以实现百部以上的AIGC（生成式人工智能）项目规模化制作。对国产算力， 以及国产算力相关产业生态提出更高需求。 央视网消息：记者了解到，人工智能在制造业、金融、能源、医疗健康等领域的应用加速落地，这对国产算力相关产业链又将带来哪些机会？ 在复旦大学医学院，基于医生、患者和科研等场景的垂直模型和智能体正在开发落地当中，实现医生有AI智能体助手，患者有AI健康顾问。 复旦大学医学院副院长朱同玉介绍，对医生来说是他的一个"大脑"，也是他的"助手"。随时可以给患者提供一些健康服务。而每一个疾病在不 同人群也需要一个小模型，它有无限的想象空间。 在TCL的工厂，显示面板生产线部署垂域大模型，通过智能体实现全域自主监控、分析与决策，相关AI应用创造综合效益超过10亿元。 TCL创始人、董事长李东生表示，把AI的应用在先进制造业，能够实实在在创造出效果。他们一直在积极推动和国内 ...

Core Insights - The first real-world testing results for AI large models in China were revealed at the 22nd China Cybersecurity Annual Conference, highlighting the importance of balancing high-quality development with high-level security in AI [1] Group 1: Event Overview - The event took place in Kunming on September 16, focusing on collaborative defense in cybersecurity [1] - The testing involved 15 domestic large models and application products, including both foundational and specialized models, as well as intelligent agents and model development platforms [1] Group 2: Testing Results - A total of 281 security vulnerabilities were discovered during the testing, with 177 of these being specific to large models [1] - The testing covered a wide range of models, including both single-modal and multi-modal large models, indicating a comprehensive assessment of the current landscape [1] Group 3: Organizational Support - The event was guided by the Central Cyberspace Administration of China and organized by the National Computer Network Emergency Response Technical Team [1] - Technical and environmental support was provided by the Cybersecurity Crowdsourcing Platform and the National Cybersecurity Talent and Innovation Base [1]

Group 1 - The 2025 Indonesia Digital Transformation Expo (DTI-CX) recently concluded in Jakarta, marking a significant upgrade as the first overseas exhibition organized by China in the digital technology sector, attracting over 11,000 buyers and generating an intended transaction volume of nearly 10.4 million USD from Hangzhou enterprises [1] - DTI-CX has rapidly evolved from its 1.0 version in 2024 to become Indonesia's top digital technology event in terms of scale and professionalism, with international exhibitors accounting for 50% of the total, featuring leading tech companies from the US, Singapore, and Indonesia [1] - Hangzhou enterprises represented 36% of Chinese exhibitors, showcasing advanced technologies and innovative solutions, thereby enhancing Hangzhou's reputation as "China's Digital Economy Capital" [1] Group 2 - The expo successfully facilitated high-quality matchmaking events, inviting representatives from key Indonesian associations and organizing over 20 intended cooperation orders through targeted business negotiations [2] - Hangzhou's exhibition group actively engaged with Indonesia's Ministry of Communication and Digital Affairs and visited various innovation centers to deepen market understanding and explore potential collaboration opportunities [2] - A special promotion area for the "Fourth Global Digital Trade Expo" was set up, with Indonesian authorities expressing commitment to organize professional buyers for participation, highlighting the shared opportunities in the digital era [2]

2025中国国际大数据产业博览会（以下简称数博会）将于8月28日在贵州贵阳启幕。本届数博会以"数聚 产业动能 智启发展新篇"为主题，旨在推动数据资源的高效汇聚和开发利用，为产业转型升级和经济高 质量发展注入强劲动力。北京交通大学信息管理理论与技术国际研究中心教授张向宏作为数据领域的深 耕者和数博会的长期参与者，近日接受对话专访，围绕数字化转型成效、数据要素市场化破局、基础设 施挑战与机遇、数博会平台价值及未来发展等核心议题，分享了他的深刻洞察与前瞻建议。 第四梯队是中小企业、农业等领域，大多数还处于信息化初级阶段，信息系统还没有建设应用，数据资 源还未得到充分重视，数据还没有得到应用。 问：数据要素市场化是当前的热点，您认为不同行业在数据确权、定价、交易等环节存在哪些共性难 题？结合您的研究，有哪些针对性的解决思路？ 张向宏：数据是一种新型生产要素，具有与土地、劳动力、技术、资本等传统生产要素迵然不同的新特 点，如数据的多环节性和低成本易复制性特点，决定了数据要素很难确权或者确权成本很高；数据的阿 罗信息悖论效应特征，决定了数据很难实现场内规模交易；数据价值不确定性特征，决定了数据价值易 变、很难定价。 张向 ...

Core Viewpoint - The Guangdong provincial government is accelerating the development of a modern industrial system, focusing on the artificial intelligence and robotics sectors, with a special meeting held to discuss strategies for high-quality growth in these industries [2]. Group 1: Development Strategies - Four major strategies were proposed by Tang Hongwu, an academician of the Chinese Academy of Engineering and president of South China University of Technology, to promote high-quality development in Guangdong's AI and robotics industries: building high-energy platforms, optimizing financial support, accelerating key technology breakthroughs, and promoting application scenarios to create a collaborative industrial ecosystem [2][5]. Group 2: Educational and Research Contributions - South China University of Technology has established a comprehensive development system integrating education, technology, and talent in the AI and robotics fields, leading over 30 major projects in these areas since the 13th Five-Year Plan, achieving internationally leading results in brain-computer interfaces and digital twins [5][6]. Group 3: Key Recommendations - Tang Hongwu emphasized three key recommendations for the development of the AI and robotics industry in Guangdong: 1. Accelerate the creation of high-energy platforms by deploying new infrastructure such as big data processing platforms and supercomputing clusters, and striving for national-level research platforms [5]. 2. Focus on overcoming key technological bottlenecks by establishing special funds within provincial R&D plans to encourage collaboration between universities and enterprises on new technologies [5]. 3. Promote application scenarios by creating a demand-driven collaborative model between industry and academia, enhancing procurement incentives, and establishing a technical adaptation service system to lower barriers for enterprise applications [5].