Fetch.ai 的 FET 是一种实用代币，是发现、创建、部署和训练数字孪生的基石。
Fetch.ai, a platform harnessing artificial intelligence, collective learning, and digital twins, is set to unlock 3,390,000 FET tokens on December 28th. This allocation constitutes approximately 0.13% of the currently circulating supply.
Fetch.ai 是一个利用人工智能、集体学习和数字孪生的平台，将于 12 月 28 日解锁 3,390,000 个 FET 代币。该分配约占当前流通供应量的 0.13%。
As an integral part of the Fetch.ai platform, FET tokens serve as a utility token, enabling users to build and deploy digital twins on the network. These twins are then empowered with machine-learning capabilities, allowing them to autonomously learn and collaborate within the network. Moreover, validation nodes can stake FET tokens to facilitate network validation, enhancing their reputation in the process.
作为 Fetch.ai 平台不可或缺的一部分，FET 代币充当实用代币，使用户能够在网络上构建和部署数字孪生。然后，这些双胞胎被赋予机器学习能力，使他们能够在网络内自主学习和协作。此外，验证节点可以质押 FET 代币以促进网络验证，从而提高其在此过程中的声誉。
The Fetch.ai platform is underpinned by four distinct technological components. Firstly, the Digital Twin Framework provides modular components for teams to construct marketplaces, skills, and intelligence for digital twins. Secondly, the Open Economic Framework offers search and discovery capabilities for digital twins. Thirdly, the Digital Twin Metropolis comprises smart contracts that maintain an immutable record of agreements between digital twins on a WebAssembly (WASM) virtual machine. Finally, the Fetch.ai Blockchain utilizes multi-party cryptography and game theory to ensure secure, censorship-resistant consensus and rapid chain-syncing for digital twin applications.
Fetch.ai 平台由四个不同的技术组件支撑。首先，数字孪生框架为团队提供模块化组件，以构建数字孪生的市场、技能和智能。其次，开放经济框架为数字孪生提供搜索和发现功能。第三，Digital Twin Metropolis 由智能合约组成，用于在 WebAssembly (WASM) 虚拟机上维护数字孪生之间协议的不可变记录。最后，Fetch.ai 区块链利用多方密码学和博弈论来确保数字孪生应用程序的安全、抗审查共识和快速链同步。
The platform also features a learner component, where each participant represents a unique private dataset and machine learning system. Collectively, they contribute to the formation of a global market, which in turn generates a machine learning model that is trained by the collective effort of the learners. Additionally, the Fetch.ai Blockchain supports smart contracts for secure and auditable coordination and governance. Lastly, the platform incorporates a decentralized data layer based on IPFS, enabling the sharing of machine learning weights among all learners involved.
该平台还具有学习者组件，其中每个参与者代表一个独特的私有数据集和机器学习系统。总的来说，它们为全球市场的形成做出了贡献，而全球市场反过来又生成了由学习者的集体努力训练的机器学习模型。此外，Fetch.ai 区块链支持智能合约，以实现安全且可审计的协调和治理。最后，该平台整合了基于 IPFS 的去中心化数据层，使得所有参与的学习者能够共享机器学习权重。
