Along with the massive growth of the Internet from the 1990s until now, various innovative technologies have been created to bring users breathtaking experiences with more virtual interactions in cyberspace. Many virtual environments with thousands of services and applications, from social networks to virtual gaming worlds, have been developed with immersive experience and digital transformation, but most are incoherent instead of being integrated into a platform. In this context, metaverse, a term formed by combining meta and universe, has been introduced as a shared virtual world that is fueled by many emerging technologies, such as fifth-generation networks and beyond, virtual reality, and artificial intelligence (AI). Among such technologies, AI has shown the great importance of processing big data to enhance immersive experience and enable human-like intelligence of virtual agents. In this survey, we make a beneficial effort to explore the role of AI in the foundation and development of the metaverse. We first deliver a preliminary of AI, including machine learning algorithms and deep learning architectures, and its role in the metaverse. We then convey a comprehensive investigation of AI-based methods concerning six technical aspects that have potentials for the metaverse: natural language processing, machine vision, blockchain, networking, digital twin, and neural interface, and being potential for the metaverse. Subsequently, several AI-aided applications, such as healthcare, manufacturing, smart cities, and gaming, are studied to be deployed in the virtual worlds. Finally, we conclude the key contribution of this survey and open some future research directions in AI for the metaverse.
翻译:随着1990年代到现在互联网的大规模增长,还创建了各种创新技术,使用户在网络空间中更多虚拟互动,带来令人惊叹的经验。许多具有数千种服务和应用的虚拟环境,从社交网络到虚拟赌博世界,都是以沉浸的经验和数字转换方式开发的,但大多数都是不连贯的,而不是融入一个平台。在这方面,由于许多新兴技术,例如第五代和以后的网络、虚拟现实和人工智能(AI),形成了一个共享的虚拟世界。在这类技术中,AI展示了处理大数据的极大重要性,以强化从社交网络到虚拟赌博世界的亲身体验和应用程序。在这个调查中,我们作出了有益的努力,探索了AI在基础和元模型发展中的作用。我们首先提出了一个人工调查的初步,包括机器学习算法和深层次学习结构,以及它在元变中的角色。我们随后对基于AI的方法进行了全面调查,这些方法对于元数据界面的六个潜在技术方面具有了潜在潜力:自然和虚拟的虚拟化数据数据, 虚拟的虚拟数据界面应用,成为了数字结构的链接,成为了数字结构的链接,成为了数字结构的链接,成为了数字结构的链接,成为了数字分析,成为了数字分析。