隐语·数据可信流通技术社区

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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]
共建数据流通技术底座,隐语开源社区扩容
Bei Jing Ri Bao Ke Hu Duan· 2025-08-15 00:44
Core Viewpoint - The "Trustworthy Privacy Computing Open Source Community" has been upgraded to the "Yin Yu · Trusted Data Circulation Technology Community," aiming to cover six major technology routes and provide a comprehensive, verifiable, and interconnected data circulation technology foundation for various sectors such as healthcare, finance, urban governance, and manufacturing [1][2]. Group 1: Community Upgrade and Objectives - The upgraded community will gradually encompass privacy protection computing, trusted data space, data components, data networking, blockchain, and data fields, forming a multi-technology integration [1][2]. - The initiative aims to facilitate open-source code sharing, standard co-creation, and scenario co-creation to enhance data circulation technology across multiple industries [1][2]. Group 2: Challenges in Industry Application - The industry faces a "three-fold door" dilemma: consensus difficulties, lengthy standard revision cycles, and high application thresholds, which hinder the large-scale implementation of data circulation [1]. - While there are successful case studies, the lack of unified and transparent technical implementation poses challenges for scaling [1]. Group 3: Collaborative Efforts - Ant Group, China Electronics Corporation, National Industrial Information Security Development Research Center, Zhejiang University, Huawei Technologies, and Beijing Jiaotong University are collaborating to build a fusion technology ecosystem [2]. - The open-source approach aims to lower the application threshold for trustworthy data circulation technology and promote interoperability and industry standards [2].
“隐语”开源社区升级,将逐步覆盖六条技术路线
Bei Jing Shang Bao· 2025-08-14 11:56
对此,蚂蚁集团旗下蚂蚁密算、中电数据产业集团有限公司、国家工业信息安全发展研究中心、浙江大 学区块链与数据安全全国重点实验室、华为技术公司以及北京交通大学等产学研机构,共同发起本次升 级,构建覆盖可信数据空间、数据元件、数联网、区块链、隐私保护计算和数场的融合技术生态,逐步 对外开放代码,促进跨领域技术协同与标准共建。 北京商报讯(记者 魏蔚)8月14日,隐语"可信隐私计算开源社区"在三周年之际宣布升级:由"可信隐 私计算开源社区"扩容为"隐语·数据可信流通技术社区",将逐步覆盖隐私保护计算、可信数据空间、数 据元件、数联网、区块链、数场等六条技术路线并形成多技术路线的融合,未来通过开源代码、共建标 准和共创场景,为医疗、金融、城市治理、制造等多个领域提供一站式、可验证、可互联的数据流通技 术底座。 在国家"数据要素×"行动全面提速的背景下,数据可信流通已从顶层设计走向标杆落地,但在产业应用 上仍陷"三重门"困境:共识难,有不少成功案例落地,但技术实现不统一、不透明,规模化流通落地卡 在"最后一公里";标准难,相关文件和标准修订周期长、颗粒度粗,难以直接映射到技术的实现场景 上;应用门槛高,技术难以转化为易用 ...
隐语开源社区将逐步覆盖六大技术路线
Zheng Quan Ri Bao Wang· 2025-08-14 10:47
Core Viewpoint - The "Yin Yu Data Trusted Circulation Technology Community" has been upgraded from the "Trusted Privacy Computing Open Source Community" to cover six major technology routes, aiming to provide a comprehensive, verifiable, and interconnected data circulation technology foundation for various sectors including healthcare, finance, urban governance, and manufacturing [1][2]. Group 1 - The upgrade will integrate six technology routes: privacy protection computing, trusted data space, data components, data networking, blockchain, and data fields, fostering a multi-technology ecosystem [1]. - The community aims to address industry challenges such as data theft by operational parties and enhance the performance and compatibility of data circulation technologies [1][2]. - The initiative is supported by various organizations including Ant Group, China Electronics Corporation, and several academic institutions, promoting cross-domain technology collaboration and standard co-creation [1]. Group 2 - Ant Group has invested in privacy computing technology since 2016, achieving breakthroughs in trusted computing, distributed platforms, and high-performance algorithms, with over 1,700 patent applications and participation in more than 80 domestic and international standards [2]. - The community's mission is to lower the application threshold for data trusted circulation technology while providing higher performance, stronger security, and lower-cost solutions [2]. - The focus is on creating an open architecture that ensures transparency, security, and efficient interconnectivity across industries [2].