中化新网讯 4月28日至29日，第八届数字中国建设峰会在福建省福州市举办。峰会设置开幕式、主论 坛、20余个分论坛以及数字中国创新大赛等特色活动，发布70余项成果，全面呈现我国在数字技术创 新、人工智能应用、数据资源开发利用等方面的新进展。 开幕式上，中共中央政治局委员、国务院副总理张国清在致辞中表示，建设数字中国是推进中国式现代 化的重要引擎，是构筑国家竞争新优势的有力支撑。工业和信息化部信息技术发展司司长王彦青介绍 说，2024年，我国数字产业完成业务收入35万亿元，同比增长5.5%，实现利润总额2.7万亿元，同比增 长3.5%，数字产业呈现积极发展态势。 一些化工项目也亮相峰会。在福建展区，福建百宏化学有限公司新材料绿色化智能化技术改造项目、泉 州市华实橡塑科技有限公司的智能引擎驱动空悬工厂质效跃升新境界项目等纷纷亮相。 会上还举行项目签约仪式。华为与华润新能源投资有限公司福建分公司、中化石油福建有限公司等签署 合作协议。福建省南平市顺昌县六氟丙烯及电子氟化液系列产业建设项目签约，该项目主要生产用于数 据中心服务器冷却、新能源储能站新型气体灭火剂等的六氟丙烯二聚体、全氟己酮等新材料。 在成果发布会上，中 ...

Group 1 - The "Digital China" initiative is gaining momentum, with Fuzhou aiming to become the "first city of digital applications" and seeking strategic cooperation with Jinan to build a digital corridor [1][2] - Shandong Province is focusing on digital transformation across various sectors, with a call for leading enterprises like Inspur to empower industries in their digitalization efforts [2] - Jinan has established a robust digital foundation, creating a "trusted data space + market-oriented elements" innovation model to enhance industry development and social governance [2][3] Group 2 - Large models are emerging as a new engine for innovation in the digital economy, with Inspur Cloud emphasizing the importance of scenarios as a core element in developing intelligent technologies [3] - Inspur Cloud has developed a "front store and back factory" model to efficiently connect intelligent technology with actual needs, supporting rapid iteration and optimization of large models [3] - During the conference, the signing of the Jinan Trusted Data Space Ecological Alliance and the National Marine Trusted Data Space Development Alliance took place, highlighting collaborative efforts in digital empowerment [3]

第八届数字中国建设峰会于2025年4月29日至30日在福建省福州市成功举办。本届峰会由国家发展改革委、国家数据局、 国家网信办、工业和信息化部、福建省人民政府共同主办，福州市人民政府和相关单位承办。峰会以"二十五载奋进路数 字中国谱新篇——数智引领高质量发展"为主题，全面展示数字中国建设成果，推动数字经济高质量发展。 本届峰会恰逢"数字福建"建设25周年和"数字中国"建设10周年，具有重要的里程碑意义。峰会设置了开幕式、主论坛、约 20个分论坛，以及数字中国创新大赛、"闽江数字夜话"、"有福之州·对话未来"等特色活动，并设有现场体验区，吸引了 超过800位企业家、100余位院士专家及社会各界人士参会。 推动数字产业集群发展是坚持创新驱动、推进产业协同、深化国际合作的重要引擎，为此第八届数字中国建设峰会特举办 数字产业集群专题会议，会议由工业和信息化部主办，工业和信息化部网络安全产业发展中心（工业和信息化部信息中 心）、中国电子工业标准化技术协会产业园区推进新型工业化工作委员会共同承办。会议邀请政府主管部门领导、院士专 家、园区集群代表、科技金融企业代表等，共同探讨打造具有国际竞争力的数字产业集群新路径。 一奇 ...

Core Points - The National Data Bureau successfully held the 8th Digital China Construction Summit focusing on data infrastructure and standardization [1] - Liu Liehong emphasized the public nature of national data infrastructure construction, highlighting its role in benefiting the public and the need for broad societal participation and standards support [1] - The National Data Bureau plans to advance pilot projects, integrate technical routes like data spaces, and accelerate the construction of data infrastructure and relevant standards [1] - Jiang Erxiong stated that Fujian Province prioritizes digital construction as a foundational and leading project for high-quality development, aiming to enhance data infrastructure and standardization [1] Summary by Categories National Data Bureau Initiatives - The National Data Bureau will focus on pilot projects and the integration of technical routes, including trustworthy data spaces [1] - There will be an emphasis on the construction of the main structure of data infrastructure and research on major issues [1] - The Bureau aims to accelerate the development of relevant standards, focusing on planning, project guidance, institutional support, and standard direction [1] Fujian Province's Digital Development - Fujian Province is committed to integrating data infrastructure and standardization as part of its high-quality development strategy [1] - Future efforts will include establishing regional data hubs, tackling core technologies, and strengthening security measures [1]

据央视新闻消息，4月29日，移动互联网未成年人模式在数字中国建设峰会主论坛上正式发布，国家网 信办指导国内企业突破技术瓶颈，实现该模式的系统性升级。新模式降低使用门槛，可通过手机"一键 启动"，为未成年人提供安全的上网环境。内容生态扩充后，优质内容通过分层推荐满足精神文化需 求。功能服务包括时长控制、应用管理等，支持多品牌手机系统更新和应用程序升级。国家网信办呼吁 家长和未成年人积极使用该模式，营造安全健康的网络环境。 ...

当天，第八届数字中国建设峰会启幕，主论坛、20个分论坛等一系列活动陆续进行。此次峰会以"二十 五载奋进路数字中国谱新篇——数智引领高质量发展"为主题，由中国国家发展改革委、国家数据局、 国家网信办、工信部、福建省人民政府共同主办。 数字中国建设峰会已连续举办七届，共促成超3000个、总投资超1.8万亿元人民币的数字经济项目落 地。(完) 本届峰会发布《数字中国发展报告(2024年)》《全国数据资源调查报告(2024年)》等70余项成果，全面 呈现中国在数字技术创新、人工智能应用、数据资源开发利用等方面的新进展，超过100名院士专家齐 聚峰会。 （文章来源：中国新闻网） 人工智能机器人、多模态大模型和可信数据空间等一批新技术、新服务、新产品在峰会上呈现，首展率 达到65%以上，推出了超100个互动体验项目和超30个实物模型。 中新社福州4月29日电 (闫旭叶秋云)随手一画、简单互动就能快速生成图像、视频、三维模型……于29 日在福州举办的第八届数字中国建设峰会上，业内新近推出的内容创作人工智能平台吸引了不少观众体 验。 记者在峰会现场体验区看到，汇聚香港顶尖科创企业，展示人工智能、智慧城市等领域创新成果的"香 ...

以"构建网络空间命运共同体"为遵循，多双边数字经济合作稳步推进，数据跨境流动便利化水平持续提 升。《报告》显示，2024年中国跨境电商进出口总额达2.63万亿元人民币，实现10.8%的增长，占全部 外贸总额比重提升至6%。 《报告》指出，2025年，数字技术创新和产业创新将深度融合，数字产业集群集聚效应将不断凸显，数 据要素赋能千行百业作用将更加突出，"人工智能+"正成为经济社会高质量发展的新引擎。(完) 《报告》指出，近三年数字中国发展指数保持10%以上的稳步增长。数据要素市场拓展新空间，2024年 数据生产量达41.06泽字节(ZB)，同比增长25%。数字基础设施实现新跃升，算力总规模达到280 EFLOPS，累计建成5G基站425.1万个，移动物联网终端用户数达26.56亿户。 《报告》披露，2024年，中国数字经济发展提质增效，数字经济核心产业增加值占国内生产总值比重达 10%左右。 来源：中国新闻网 中新社福州4月29日电 (记者 闫旭)在29日开幕的第八届数字中国建设峰会上，中国国家数据局发布《数 字中国发展报告(2024年)》。报告显示，2024年全球新公开生成式人工智能专利4.5万件，其中中国 ...

Core Viewpoint - The construction of a digital China is a crucial engine for advancing Chinese-style modernization and a strong support for building new national competitive advantages [1] Group 1: Digital Economy Development - Continuous enhancement of independent innovation capabilities in the digital field is essential for promoting the integration of the real economy and the digital economy [1] - Digital technology innovation is increasingly becoming a significant driving force for high-quality development [1] - The establishment of a national integrated data market is necessary to amplify the multiplier effect of data elements [1] Group 2: Industry Focus - The consumer electronics industry is highlighted as a key sector for stabilizing employment and the economy due to its large scale, rapid technological updates, and strong industrial chain impact [1] - Support for enterprises through innovation in technology, products, and services is crucial for expanding product variety, improving quality, and creating brands [1] - The implementation of policies to facilitate the replacement of old products with new ones will provide strong support for market expansion [1]

Group 1 - The National Data Bureau has launched a plan to develop and utilize public data resources, aiming to create 70 key demonstration scenarios to enhance the supply, circulation, and utilization of public data [1][2] - The first batch of 18 scenarios will be implemented by October 2024, focusing on smart cities and industrial upgrades, followed by a second batch of 20 scenarios in February 2025, covering healthcare and ecological governance [1] - The newly added 32 scenarios this year include areas such as smart agriculture, emergency rescue on highways, and data-driven precision medicine, forming a tiered development structure of "three batches of 70 scenarios" [1] Group 2 - Public data, generated by government departments and public enterprises, spans various fields and is characterized by its authority, large scale, and dynamic updates, serving as a "digital mirror" of economic and social operations [2] - The implementation of the 70 benchmark scenarios is expected to drive local economic development and industrial transformation, with specific examples like the smart tourism recommendation system in Xi'an optimizing resource allocation in the tourism sector [2] - The Central Government has issued a systematic deployment plan for public data resource development, with multiple policy measures introduced this year to promote public data utilization [2][3] Group 3 - A national public data resource registration platform was launched on March 1, with seven provinces completing the integration of provincial platforms, enabling information interconnectivity and unified coding [3] - The National Data Bureau has outlined four key requirements to enhance the development and utilization of public data, focusing on market-oriented approaches, infrastructure connectivity, and the cultivation of an open and innovative data industry ecosystem [3] - The ongoing market-oriented reform of public data is seen as a core engine for high-quality development, with the 70 benchmark scenarios expected to reshape economic and social operation paradigms [4]

Group 1 - The core viewpoint is that the construction of a digital China is at a critical juncture, transitioning from digitization to intelligence, which will open a new chapter in development [1] - Artificial intelligence (AI) applications are identified as a key engine accelerating the construction of digital China, with 2023 being marked as the year of large-scale AI application, driven by new open-source AI technologies like DeepSeek [1] - The focus of AI application has shifted from computing power and algorithms to data elements due to explosive demand growth [1] Group 2 - The development of AI requires strengthening technological breakthroughs and promoting the intelligent upgrade of digital information infrastructure, with China Telecom achieving significant advancements in key technologies [1] - China Telecom has launched the world's first intelligent computing Ascend super node in Shaoguan, Guangdong, showcasing its full-stack cloud technology and product system [1] - The explosive growth of intelligent computing poses challenges to energy supply, necessitating innovations in AI energy-saving technologies and the integration of computing power with energy and communication [1] Group 3 - Common security issues facing the industry include cultural value biases from data bias, sensitive information leaks from model training, risks of model misalignment, and the proliferation of false information due to deep fakes [2] - To address these security challenges, China Telecom plans to integrate quantum technology into cloud network infrastructure and accelerate the construction of quantum backbone networks and metropolitan area networks in key cities [2] - An open and win-win cooperation framework is essential for promoting the construction of digital China, with a focus on inclusive computing power, open-source models, data flow, and open scenarios as key drivers for innovation in the AI industry [2]