International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 09 | Sep 2022
p-ISSN: 2395-0072
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ARTIFICIAL INTELLIGENCE IN METAVERSE Ameya Patil Savitribai Phule Pune University, D.Y. Patil College of Engineering, Akurdi, Pune, India ---------------------------------------------------------------------***--------------------------------------------------------------------perspectives is conveyed. In a nutshell, the main Abstract – contributions of this paper are summarized as follows:
The ability of computers to get creative has come a long way also the exciting role that AI will play is kicking us out of behaving like machines. Since 1990 the enormous growth of internet various technologies has been created to bring users spectacular experiences with more virtual interactions in cyberspace. In this survey, we dive into the metaverse by discussing four important terms and their effect on AI, foundational research, AI for the product team, responsible AI, and AI infrastructure. We then study how blockchain and AI fuse with it through exploring state-of-the-art studies across the metaverse components, digital currencies, AI applications in the virtual world, and blockchainempowered technologies. We then convey a broad investigation of AI-based methods concerning six-technical terms that have potential for the Metaverse. Subsequently, we will discuss the challenges faced to develop a potential AI. Finally, we will conclude the key contribution of this survey and open some future research directions in AI for the Metaverse.
•First, we introduce the new tools for the next metaverse. •We survey, the six technical aspects which have great potential for metaverses, like natural language processing, machine vision, blockchain, networking, digital twin (DT), and neural interface. •Then we present the preliminaries of the economic system in the metaverse. Finally, we envision typical challenges and open issues to shape the future metaverse in the next decades. The rest of this paper is organized as follows. Section 2 introduces the new tools which are used in metaverse followed by Section 3 which describes the adoptions of technical aspects such as natural processing, machine vision, blockchain, networking, DT as well as neural interface. Section 4 mainly describes the characteristic of the ecosystem of the metaverse by comparing it with the conventional economy. Section 5 tells us the challenges which are faced in the metaverse while incorporating new AI tools and machine learning. Section 5 concludes the paper with some future research directions for development.
Key Words: Metaverse, Cyberspace, Blockchain 1. INTRODUCTION Metaverse as the latest buzzword has attracted great attention from both industry and academia. Metaverse, a term formed by combining meta and universe, has been introduced as a shared virtual world that is powered by many growing 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 the immersive experience and enable the human-like intelligence of virtual agents. A lot of AI research is focused on understanding the physical world but Metaverse needs an AI that is built around helping people to navigate virtual worlds as well as our physical worlds with augmented reality, -because these worlds will be dynamic and always changing. AI will need to be able to understand the context and learn in the ways that humans do. The Metaverse will consist of immersive worlds that you can create and interact with, with all the visual information that includes one’s position in 3D space, one’s body language, facial gestures and so on. And this is all from one’s first-person perspective.
2. New AI tools for the next Metaverse The kinds of experiences that you will have in the metaverse are beyond what is possible today. It’s an immersive version of the internet. Instead of just looking at something on a screen you are going to feel like you are inside it or right there present with another person, and that’s going to require advances across a whole range of areas, from new hardware devices to software for building and exploring worlds. And a key to unlocking a lot of these are advances in AI. And there a are few challenges to look upon. First, create a new generation of assistance that will help explore new worlds. Today, A lot of AI research is focused on understanding the physical world. But in Metaverse, we are going to need AI that is built around helping people navigate through virtual worlds as well as physical worlds with augmented reality. And because these worlds can be dynamic ad always changing AI is going to need to be able to understand the context and learn in a way that humans do and when we have our glasses on our faces that will be the first time that AI system will be able
In this paper, a comprehensive survey of the existing AIbased works from the technical and application
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