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Numeraire 宣布发布 Numerai Signals 2.0 Cosmic 数据集,该数据集具有显着扩展的宇宙和增强的 numerai_ticker 一致性。

Numerai has announced the release of the Numerai Signals 2.0 Cosmic dataset, which boasts a significantly expanded universe and enhanced numerai_ticker consistency. Commencing on December 3rd, 2024, the v2.0 dataset will be implemented for Signals submissions.
Numerai 宣布发布 Numerai Signals 2.0 Cosmic 数据集,该数据集拥有显着扩展的宇宙和增强的 numerai_ticker 一致性。从 2024 年 12 月 3 日开始,v2.0 数据集将用于 Signals 提交。
Delving into Numeraire's Ecosystem
深入研究 Numeraire 的生态系统
Numeraire is a platform built on Ethereum that enables developers and data scientists to create and refine machine learning models in a decentralized setting. The platform's primary goal is to integrate decentralization into the domain of data science by fostering competition in the development of powerful machine learning prediction algorithms.
Numeraire 是一个基于以太坊构建的平台,使开发人员和数据科学家能够在去中心化的环境中创建和完善机器学习模型。该平台的主要目标是通过促进强大的机器学习预测算法开发的竞争,将去中心化整合到数据科学领域。
Numerai operates through the Numerai tournament, where developers compete to generate high-performing models. Successful models from this competition are subsequently utilized by Numeraire in its stock market trading decisions, positioning the platform at the intersection of AI-driven data predictions and financial market activities.
Numerai 通过 Numerai 锦标赛进行运营,开发人员在比赛中竞相生成高性能模型。 Numeraire 随后在其股票市场交易决策中采用了本次竞赛的成功模型,将该平台定位于人工智能驱动的数据预测和金融市场活动的交叉点。
NMR, the native token of the Numerai platform, distinguishes itself with its unique origination from a hedge fund. The NMR token serves as a reward to data scientists for their effective model performance in the tournament, increasing its value with participation. Structured as an ERC-20 token on the Ethereum blockchain, NMR functions within the Ethereum proof-of-stake (PoS) consensus, where validators and block producers are selected based on their staked NMR holdings.
NMR 是 Numerai 平台的原生代币,以其独特的对冲基金起源而脱颖而出。 NMR 代币是对数据科学家在锦标赛中有效模型表现的奖励,通过参与增加其价值。 NMR 是以太坊区块链上的 ERC-20 代币,在以太坊权益证明 (PoS) 共识中发挥作用,其中验证者和区块生产者根据其持有的 NMR 资产进行选择。
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