摘要
由一名新闻记者兼机器人与机器学习每日新闻编辑每日新闻-关于人工智能ce的详细数据已经呈现。根据Ne wsRx记者在加拿大蒙特利尔的新闻报道，研究表明，"Metaverse依靠先进的机器Lea Rning(ML)技术来促进虚拟和物理领域之间的无缝映射。"新闻记者从魁北克大学的研究中获得了一句话：“基于ML的技术还使MetaVerse服务提供商(MSPs)能够为MetaVerse用户(MUs)提供多样化的智能虚拟服务。然而，MSP收集足够的MetaVerse数据来自己训练ML模型是一项挑战。因此，为了应对这些挑战，我们提出了一个基于区块链的MetaICM框架，通过关键组件增强MetaVerse的能力。首先，它集成了一个分布式众包系统，允许MSP从MUs收集MetaVerse数据和ML模型。其次，它形成了一个分散的市场。使MUs能够利用其MetaVerse设备和计算资源主动收集数据并培训ML模型以供销售。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting from Montreal, Canada, by Ne wsRx journalists, research stated, “The Metaverse relies on advanced machine lea rning (ML) techniques to facilitate the seamless mapping between the virtual and physical realms.” The news reporters obtained a quote from the research from University of Quebec: “ML-based technologies also enable metaverse service providers (MSPs) to offer a diverse range of intelligent virtual services to metaverse users (MUs). Howeve r, it can be challenging for MSPs to collect sufficient metaverse data to train ML models by themselves. As a result, MSPs can be interested in seeking contribu tions from MUs in both ML data and models. To address these challenges, we propo se MetaAICM, a blockchainbased framework that empowers the metaverse through tw o key components. Firstly, it incorporates a distributed crowdsourcing system th at allows MSPs to gather metaverse data and ML models from MUs. Secondly, it fea tures a decentralized marketplace, enabling MUs to proactively collect data and train ML models for sale using their metaverse devices and computing resources.”
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