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00后CEO率清华团队获得“DEMO GOD”大奖!新型密态计算为AI隐私护航、解锁数据“睡后收入”
Sou Hu Cai Jing· 2025-10-13 04:00
作者丨刘恒涛 根据国家网信办在7月发布的《国家信息化发展报告(2024年)》,截至2024年12月,国内生成式人工智能的注册用户数量超过6亿。用AI解决生活和工 作问题,正在成为几亿用户的习惯。 但伴随而来的,是隐私安全问题。因为严重的数据泄露隐患,用户将敏感的文件和问题交由云端大模型阅读使用,总是心存顾虑。 孵化于清华大学计算机系的荆华密算,正立足密态推理引擎,以用户可以接受的成本,来缓解人们在一些隐私场景使用云端大模型的安全问题。 在数据要素成为新型生产要素的当下,数据可以零成本复制的特点,使得数据拥有者的权益难以得到保障。荆华密算还希望立足密态训练引擎,保护数据 不被复制,保障数据拥有企业在数据交易中的利益与隐私。 荆华密算报名参加了创业邦举办的2025(第十九届)DEMO CHINA。9月25日,在杭州大赛现场,经过多轮评审与角逐,荆华密算在126家科技企业脱颖 而出,斩获2025(第十九届)DEMO CHINA最高荣誉"DEMO GOD"。 高质量数据要素的流通和大模型在重要隐私场景的应用落地,一直是国家重点宣传、重点扶持、重点培养的行业领域,此次荆华密算得奖的消息,也得到 了《人民日报》、《光明日 ...
数据时代新挑战:具身机器人数据难题待解,AI智能体技术成关键?
Sou Hu Cai Jing· 2025-08-15 14:05
Group 1: Data Industry Growth - China's data industry has seen significant growth, with over 400,000 data enterprises and a market size reaching 5.86 trillion yuan, representing a 117% increase compared to the end of the 13th Five-Year Plan [1] - The national data market transaction scale is expected to exceed 160 billion yuan in 2024, with a year-on-year growth of over 30% [1] - The privacy computing platform market in China is projected to reach 980 million yuan in 2024, growing by 10.1% [1] Group 2: Challenges and Developments in Data Infrastructure - Despite the importance of data infrastructure, challenges remain in achieving consensus and addressing issues like interoperability and platform development [3] - The development of embodied intelligence and humanoid robots faces significant challenges due to the need for non-linear public domain data and the lack of generalizable data [3] - Ant Group's Vice President emphasized that AI models currently cannot interact with the real world, highlighting the need for foundational data training and feedback learning for embodied intelligence [3] Group 3: Privacy Computing and Data Trust - Ant Group, in collaboration with various institutions, launched the "Yin Yu: Trusted Data Circulation Technology Community," focusing on privacy protection computing and trusted data spaces [4] - The community aims to provide a one-stop, verifiable, and interconnected data circulation technology foundation through open-source code and standard co-creation [4] - The privacy computing market is entering a new growth cycle driven by large models and the marketization of data elements, shifting from compliance-driven to value creation [4] Group 4: Trusted Data Space - The trusted data space is described as a platform service rather than a single scenario, providing data fusion application services based on technical trust [5] - Ant Group believes that the increasing demand for trusted data will lead to breakthroughs in enterprise data spaces, ensuring compliant use of customer data [5] - The core of the data element track revolves around data value, emphasizing the need for a data circulation network to leverage data's multiplier effect [6]
IDC发布中国隐私计算市场报告 蚂蚁数科位居第一
Jing Ji Guan Cha Wang· 2025-08-14 08:12
Group 1 - The core viewpoint of the article is that the privacy computing market in China is projected to reach a scale of 980 million yuan in 2024, reflecting a year-on-year growth of 10.1% [1] - Ant Group's subsidiary, Ant Financial Technology, holds the leading market share in China's privacy computing sector with a 36.7% share, marking the third consecutive year it has maintained this position [1]
隐私计算行业产业链全景梳理及区域热力地图
Sou Hu Cai Jing· 2025-04-15 04:11
Core Insights - The privacy computing industry is characterized by a collaborative development across its entire value chain, which includes upstream hardware, midstream technology services, and downstream applications across various sectors such as government, finance, and education [1][2]. Industry Overview - The upstream of the privacy computing industry primarily consists of trusted hardware such as encryption chips and specialized processors, while the midstream includes technology and service providers offering various security protection technologies and application technologies [1]. - The downstream application layer encompasses a wide range of sectors, indicating a broad market potential for privacy computing solutions [1]. Regional Distribution - The distribution of representative companies in the privacy computing industry is relatively dispersed, with Shanghai having a well-established layout across the entire value chain, followed by Beijing, Guangdong, and Zhejiang [2]. Company Performance - Tencent leads in R&D investment within the privacy computing sector, followed closely by Alibaba and Baidu, with significant variations in R&D expenditure as a percentage of revenue among companies [6]. - Notable advancements in privacy computing have been reported by companies such as AsiaInfo, NSFOCUS, and Tuolsi [6]. R&D Investment - AsiaInfo's R&D investment totaled 319 million yuan, accounting for 28.8% of its revenue, while NSFOCUS invested 416 million yuan, representing 32.7% of its revenue [7]. - The R&D efforts of various companies are focused on developing comprehensive solutions in privacy computing, including secure execution environments and integrated systems [7]. Investment Trends - Privacy computing companies are actively investing in sectors such as scientific research, technology services, and financial services to enhance their technological capabilities and expand their market reach [10]. - Recent investments include AsiaInfo's 10 million yuan investment in Tianjin AsiaInfo Security Technology Co., and NSFOCUS's 510 million yuan investment in Nanjing Tuolsi Intelligent Systems Co., among others [11][12].
2025年中国隐私计算行业区域竞争分析 北京市场竞争力强【组图】
Qian Zhan Wang· 2025-03-29 09:08
Group 1 - The core viewpoint of the article highlights the competitive landscape and regional distribution of privacy computing companies in China, with a focus on the leading cities and their respective strengths in the industry [1][3]. - Beijing has the highest number of privacy computing companies, approximately 80, indicating strong competitiveness in the sector [1][3]. - The leading companies in Beijing include Huakong Qingjiao and Shudu Technology, with Zhejiang, Guangdong, and Shanghai following in terms of company presence [3]. Group 2 - Hangzhou is identified as the hottest city for privacy computing financing, with the highest number of financing events, reflecting a vibrant investment market [4]. - The demand for privacy computing projects is highest in Beijing, which has recorded 37 tender projects, followed by Shanghai, Fujian, Shandong, and Guangdong [6]. - Zhejiang province has the most successful bids in privacy computing projects, totaling 44, with Beijing, Shanghai, Guangdong, and Jiangsu also showing significant activity [9].