AI and Blockchain Empowered Metaverse for Web 3.0: Vision, Architecture, and Future Directions
Xu Zhang, Geyong Min, Tong Li, Zhan Ma, Xun Cao, Shaowei Wang
Abstract
As one of the most prominent parts of the Internet, World Wide Web (WWW) has achieved great success and penetrated every area of our lives. However, the cu rrent WWW still suffers from inefficiency, growing concerns about user privacy and data ownership, and poor Quality of Experience. Therefore, we propose a promising architecture for the next-generation WWW, Web 3.0, which is underpinned by Artificial Intelligence (Al) and Blockchain-empowered Metaverse (AlB-Metaverse). Fueled by native Al, Web 3.0 based on AlB-Metaverse can provide users with a personalized experience and enable smart decision-making with high efficiency. Backed by Blockchain, the AIB-Metaverse-based Web 3.0 is decentralized, which can help users regain full control of data and protect the ownership of generated data while preserving privacy. Furthermore, this new architecture can provide a ubiquitous immersive experience to users during real-time interaction with digital avatars in the Metaverse. To verify the effectiveness of Al in Web 3.0, we propose an Al-based approach for Metaverse video delivery, which can significantly enhance the quality of immersive experience perceived by users in Web 3.0. In addition, we pinpoint the challenges faced by the proposed AlB-Metaverse-based Web 3.0 and highlight pertinent research directions in the future.