[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fvC5PGZMkdrqJZi-YZ2JrLlTkUYSKb-xXjp56VUAzlKk":3},{"code":4,"msg":5,"data":6},200,"操作成功",{"id":7,"title":8,"content":9,"digest":10,"source":10,"coverPath":11,"thumbsCoverPath":12,"isTop":13,"isShow":14,"baseClick":13,"clickCount":15,"createTime":16,"typeId":17,"isNewest":18,"newsInfoTypeRespVo":19,"voiceUrl":22,"voiceSize":23,"taskId":24,"releaseTime":25,"titleEn":26,"contentEn":27,"voiceUrlEn":28,"taskIdEn":29,"voiceSizeEn":30},1233,"我国算力总规模居全球第二","\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">14日，国新办举行新闻发布会，介绍“十四五”时期数字中国建设发展成就。国家发展改革委党组成员、国家数据局局长刘烈宏介绍，截至2025年6月底，我国算力总规模位于全球第二，已经建设高质量数据集超过3.5万个，总体量超过了400PB。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">刘烈宏指出，“十四五”时期，我国牢牢把握数字化、网络化、智能化发展机遇，全面深化数据要素市场化配置改革，推动数字中国建设取得显著成就。近年来，我国人工智能的快速发展，离不开国家对数据工作的高度重视。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“数据是人工智能发展的三大核心要素之一，在推动‘人工智能+’过程中发挥着关键作用，特别是高质量数据集的建设至关重要。”刘烈宏举例，在医疗健康领域，通过标注的医学影像高质量数据集，模型的疾病诊断准确率可以提升15%以上。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">作为第一个把数据作为生产要素的国家，我国多措并举促进数据资源的开发利用。刘烈宏介绍，为大力推动高质量数据的供给，我国出台了高质量数据集建设相关文件，多部门联合推动相关工作。“我们指导全国数据标准化技术委员会研究制定了相关标准和技术文件，组织了高质量数据集建设先行先试工作和典型案例征集活动，分行业、分领域树立了一批典型的解决方案。”刘烈宏说。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">刘烈宏透露，经过一段时间的努力，国内多数模型训练使用的中文数据占比已经超过60%，有的模型已达到80%。中文高质量数据的开发和供给能力持续增强，推动我国人工智能模型性能的快速提升。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">人工智能模型的训练也推动了数据交易需求的攀升。数据显示，截至今年6月底，各地高质量数据集累计交易额近40亿元，数据交易机构挂牌的高质量数据集总规模达到了246PB。“以北京数交所为例，高质量数据集占交易总量的比例从去年的10%跃升到目前的近80%。”刘烈宏说。同时，上海、天津、安徽等地正在试点“数据语料作价入股”等新模式，引导企业将高质量数据集折算为股权投入到相关企业。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">刘烈宏表示，下一步，相关部门将通过体系化布局持续推进高质量数据集建设，加快打造具身智能、低空经济、生物制造等重点领域数据高地，“我们也将推动全社会强化数据要素价值认同，加快推进数据要素价值共创，培育‘为优质数据买单’的市场共识。”\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">【新闻来源】科技日报 \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.msn.cn\u002Fzh-cn\u002Fnews\u002Fother\u002F%E6%88%91%E5%9B%BD%E7%AE%97%E5%8A%9B%E6%80%BB%E8%A7%84%E6%A8%A1%E5%B1%85%E5%85%A8%E7%90%83%E7%AC%AC%E4%BA%8C\u002Far-AA1KzGL3?ocid=BingNewsSerp\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">http:\u002F\u002Fu5a.cn\u002FocSXA\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（本网转发此文章，旨在为读者提供更多的信息资讯，所涉内容不构成投资、消费建议。文章事实如有疑问，请与有关方核实，文章观点非本网观点，仅供读者参考。）\u003C\u002Fspan>\u003C\u002Fp>","","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002F0534c3ce68e34c27a6da90b476a0dda7\u002FAI领域.jpg","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002Fthumbs\u002F0534c3ce68e34c27a6da90b476a0dda7\u002FAI领域.jpg",0,1,222,"2025-08-15 17:50",2,false,{"id":17,"name":20,"enName":21},"芯位视野","Xinwei Vision","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3A9792d0a2-9ff8-4cda-929d-5b4e82b9c008%3A0.wav?Expires=1755258612&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=j0qba8Pt%2FBdrQdO05ZBg5fiX1AA%3D",5026370,"9792d0a2-9ff8-4cda-929d-5b4e82b9c008","2025-08-15 17:45","China's total computing power ranks second globally","\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">On the 14th, the State Council Information Office held a press conference to introduce the achievements in building a digital China during the 14th Five-Year Plan period. Liu Liehong, member of the Party Group of the National Development and Reform Commission and director of the National Data Administration, introduced that by the end of June 2025, China's total computing power was ranked second globally, with more than 35,000 high-quality data sets built, with a total volume exceeding 400 PB.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Liu Liehong pointed out that during the 14th Five-Year Plan period, China has firmly grasped the opportunities of digitalization, networking, and intelligence, comprehensively deepened the reform of market-oriented allocation of data elements, and made remarkable achievements in building a digital China. In recent years, the rapid development of artificial intelligence in China cannot be separated from the country's high attention to data work.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">\"Data is one of the three core elements for the development of artificial intelligence, playing a key role in promoting the 'artificial intelligence plus' process, especially the construction of high-quality data sets is crucial,\" said Liu Liehong. For example, in the field of medical health, through high-quality data sets of annotated medical images, the accuracy of disease diagnosis by models can be improved by more than 15%.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">As the first country to take data as a production factor, China has taken multiple measures to promote the development and utilization of data resources. Liu Liehong introduced that to vigorously promote the supply of high-quality data, China has issued relevant documents on the construction of high-quality data sets, and various departments have worked together to promote related work. \"We guided the National Technical Committee for Data Standardization to develop relevant standards and technical documents, organized pilot projects for the construction of high-quality data sets and the collection of typical cases, and established a number of typical solutions in different industries and fields,\" said Liu Liehong.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Liu Liehong revealed that after some time of effort, the proportion of Chinese data used in domestic model training has exceeded 60%, and some models have reached 80%. The development and supply capacity of high-quality Chinese data continues to strengthen, driving the rapid improvement of the performance of China's artificial intelligence models.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">The training of artificial intelligence models has also driven an increase in demand for data transactions. Data shows that by the end of this June, the cumulative transaction amount of high-quality data sets in various places has reached nearly 4 billion yuan, and the total scale of high-quality data sets listed by data transaction institutions has reached 246 PB. \"Taking Beijing Data Exchange as an example, the proportion of high-quality data sets in the total transaction volume has risen from 10% last year to nearly 80% now,\" said Liu Liehong. At the same time, Shanghai, Tianjin, Anhui and other places are piloting new models such as \"data corpus valued as shares\", guiding enterprises to convert high-quality data sets into equity investments in relevant companies.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Liu Liehong said that in the next step, relevant departments will continue to promote the construction of high-quality data sets through systematic layout, accelerate the creation of data peaks in key areas such as embodied intelligence, low-altitude economy, and biomanufacturing. \"We will also promote the strengthening of the value recognition of data elements throughout society, accelerate the co-creation of data elements value, and foster a market consensus of 'paying for high-quality data'.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">【News Source】Science and Technology Daily \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.msn.cn\u002Fzh-cn\u002Fnews\u002Fother\u002F%E6%88%91%E5%9B%BD%E7%AE%97%E5%8A%9B%E6%80%BB%E8%A7%84%E6%A8%A1%E5%B1%85%E5%85%A8%E7%90%83%E7%AC%AC%E4%BA%8C\u002Far-AA1KzGL3?ocid=BingNewsSerp\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">http:\u002F\u002Fu5a.cn\u002FocSXA\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（This article is reprinted by this website to provide readers with more information and news. The content involved does not constitute investment or consumption advice. If there are any questions about the facts of the article, please verify with the relevant parties. The views of the article are not the views of this website, and are for reference only.）\u003C\u002Fspan>\u003C\u002Fp>","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3Ae0a4fa46-bdf9-4000-b2cc-ea800e65df6f%3A0.wav?Expires=1774838494&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=lFD5dwOEYZQyOMtCR6BwU%2FPKkoQ%3D","e0a4fa46-bdf9-4000-b2cc-ea800e65df6f",7293570]