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随着两个组织致力于将分散的人工智能与Web3技术整合在一起,Chainoperaai与渲染网络之间的合作对技术领域产生了巨大的兴趣。
ChainOperaAI and Render Network joined forces in a recent Render Spaces Hangout to integrate decentralized artificial intelligence with Web3 technologies. Their collaboration aims to enhance AI model training and application development.
Chainoperaai和Render Network在最近的渲染空间聚会中联合起来,将分散的人工智能与Web3技术集成在一起。他们的合作旨在增强AI模型培训和应用程序开发。
ChainOperaAI boasts a Layer 1 blockchain designed for decentralized co-creation and co-ownership of AI agents and applications. It utilizes Federated AI OS to advance AI at scale while protecting user privacy.
Chainoperaai拥有一个第1层区块链,设计用于分散的AI代理和应用共同创建和共同拥有。它利用联合的AI OS在保护用户隐私的同时大规模推进AI。
According to the Head of Strategy at ChainOperaAI, federated learning ensures that personal data remains on individual devices. This enables privacy-focused AI interactions and fosters the development of intelligent AI agents.
根据Chainoperaai战略主管,联合学习可确保个人数据保留在单个设备上。这使以隐私为重点的AI相互作用并促进了智能AI代理的发展。
ChainOperaAI plans to leverage Render's decentralized GPU computing resources for AI model training, ultimately facilitating the creation of personalized AI applications. For instance, AI assistants can adapt to user interactions without compromising data privacy. By integrating decentralized computing resources, the partnership aims to enhance AI-driven recommendations and insights while preventing centralized entities from accessing user data.
Chainoperaai计划利用渲染分散的GPU计算资源进行AI模型培训,最终促进了个性化AI应用程序的创建。例如,AI助手可以在不损害数据隐私的情况下适应用户交互。通过集成分散的计算资源,该合作伙伴关系旨在增强AI驱动的建议和见解,同时防止集中式实体访问用户数据。
Interestingly, the partnership may also explore the use of non-fungible tokens (NFTs) to create on-chain identities for AI agents. During the Hangout, discussions centered around linking AI models to NFTs to ensure decentralized and verifiable ownership of training data and computing resources. This approach could pave the way for AI-powered decentralized economies, where AI models operate independently with transparency and security.
有趣的是,合作伙伴关系还可以探索使用不可杀死的令牌(NFTS)来为AI代理创建链上身份。在聚会期间,讨论围绕将AI模型与NFT链接起来,以确保对培训数据和计算资源的分散和可验证的所有权。这种方法可以为AI驱动的分散经济体铺平道路,在该经济体中,AI模型以透明度和安全性独立运作。
Moreover, the Hangout highlighted recent developments in Render Foundation grants, which have supported diverse AI projects in various industries, including scientific research, agriculture, and DNA-related applications. A Render Network representative highlighted the broad impact of AI projects and their potential to set new industry standards.
此外,聚会集强调了渲染基金会赠款的最新发展,这些发展支持了各个行业的各种AI项目,包括科学研究,农业和与DNA相关的应用。渲染网络代表强调了AI项目的广泛影响及其制定新行业标准的潜力。
Render Network continues to host weekly Spaces sessions on X, where community members can engage with the latest technological advancements. These sessions feature discussions with experts from different industries, including renowned artists and partner organizations. By fostering collaboration and knowledge sharing, these events contribute to the ongoing evolution of AI and Web3 innovations.
渲染网络继续在X上举办每周的空间会议,社区成员可以在这里参与最新的技术进步。这些会议与来自不同行业的专家(包括著名艺术家和合作伙伴组织)进行了讨论。通过促进协作和知识共享,这些事件有助于AI和Web3创新的持续发展。
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