首页|Studies from University of Quebec Have Provided New Data on Machine Learning (Bl ockchain-Empowered Metaverse: Decentralized Crowdsourcing and Marketplace for Tr ading Machine Learning Data and Models)
Studies from University of Quebec Have Provided New Data on Machine Learning (Bl ockchain-Empowered Metaverse: Decentralized Crowdsourcing and Marketplace for Tr ading Machine Learning Data and Models)
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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.”
University of QuebecMontrealCanadaNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learning
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