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加密货币新闻

Bitmart将于2月20日列出Fetch.ai(FET)

2025/02/21 02:17

此列表的交易对为FET/USDT。 Fet Infofet.ai的Fet是实用程序,是发现,创建,部署的基岩

Bitmart将于2月20日列出Fetch.ai(FET)

BitMart will list Fetch.ai (FET) on February 20th, with the trading pair being FET/USDT.

Bitmart将于2月20日列出Fetch.ai(FET),交易对为FET/USDT。

FET is a utility token that serves as the foundation for discovering, creating, deploying, and training digital twins within the Fetch.ai ecosystem. It plays a crucial role in smart contracts and oracles on the platform. With FET, users can build and deploy their digital twins on the network, enabling them to construct marketplaces, skills, and intelligence for these twins. The token also grants developers access to machine-learning utilities for training autonomous digital twins and deploying collective intelligence on the network. Furthermore, validation nodes can stake FET tokens to facilitate network validation, which in turn enhances their reputation in the Fetch.ai community.

FET是一种实用令牌,是在Fetch.AI生态系统中发现,创建,创建,部署和培训数字双胞胎的基础。它在平台上的智能合约和甲壳虫中起着至关重要的作用。使用FET,用户可以在网络上构建和部署其数字双胞胎,从而使他们能够为这些双胞胎构建市场,技能和智慧。令牌还授予开发人员访问机器学习实用程序,用于培训自主数字双胞胎并在网络上部署集体智能。此外,验证节点可以将FET令牌存储以促进网络验证,从而提高了他们在Fetch.AI社区中的声誉。

The technological architecture of Fetch.ai comprises four distinct elements. The Digital Twin Framework provides modular components to help teams construct marketplaces, skills, and intelligence for digital twins. The Open Economic Framework facilitates search and discovery capabilities for digital twins. The Digital Twin Metropolis houses smart contracts that maintain an immutable record of agreements between digital twins on a WebAssembly (WASM) virtual machine, and the Fetch.ai Blockchain utilizes multi-party cryptography and game theory for secure, censorship-resistant consensus and rapid chain-syncing to support digital twin applications.

fetch.ai的技术架构包括四个不同的元素。数字双框架提供了模块化组件,以帮助团队为数字双胞胎构建市场,技能和智能。开放的经济框架促进了数字双胞胎的搜索和发现功能。数字双子大都市拥有智能合约,这些合同保持了WebAssembly(WASM)虚拟机上数字双胞胎之间的不变协议记录,而Fetch.AI区块链利用多方加密图和游戏理论来获得安全,审查,快速链接和快速链的链接, - 涉及支持数字双胞胎应用程序。

Among the platform's key components is the learner, where each participant represents a unique private dataset and machine learning system. The global market is a product of a collective learning experiment, where a machine learning model is trained by the learners collectively. The Fetch.ai Blockchain supports smart contracts, enabling secure and auditable coordination and governance. Finally, the platform includes a decentralized data layer based on IPFS, facilitating the sharing of machine learning weights among all learners involved.

平台的关键组成部分是学习者,每个参与者都代表一个独特的私人数据集和机器学习系统。全球市场是集体学习实验的产物,在该实验中,机器学习模型由学习者集体培训。 Fetch.AI区块链支持智能合约,实现安全和可审计的协调和治理。最后,该平台包括基于IPF的去中心化数据层,从而促进了所有相关学习者之间机器学习权重的共享。

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