Study Of Blockchain Technology, AI and Digital Networking in Metaverse

Page 1

© JAN 2022 | IRE Journals | Volume 5 Issue 8 | ISSN: 2456-8880

Study Of Blockchain Technology, AI and Digital Networking in Metaverse SIVASANKAR G A Department of Aeronautical Engineering, KIT-Kalaignar Karunanidhi Institute of Technology, Coimbatore Abstract- The current term, "metaverse," has piqued the interest of the recent generations. The Metaverse smoothly blends the actual and virtual worlds, allowing avatars to engage in a wide range of activities such as creation, display, entertainment, social networking, and trading. Artificial intelligence will be used to enable, populate, and sustain the metaverse (AI). The Metaverse will be built using augmented reality (AR) and virtual reality (VR), as well as artificial intelligence, digital networks, blockchains. Meta is well-known for its artificial intelligence and algorithmic efforts. In the everexpanding metaverse, artificial intelligence and blockchain technologies are likely to play a vital role. Metaverse, for example, employs artificial intelligence, digital network, blockchain to create a digital virtual world in which anybody can safely and freely engage in social and economic activities that extend beyond the physical realm. Indexed Terms- Artificial Intelligence, Digital Networking, Blockchain Technology, Metaverse I.

INTRODUCTION

The deployment of the latest AI and blockchain technologies will be hastened by utilising the metaverse. It will power the metaverse's seven technology layers, including spatial computing, scaffolding for creators, and new and sophisticated kinds of narrative. This paper will give you a taste of some of these markets, as well as where we can expect to see it most shortly. Few people appreciate how swiftly artificial intelligence is developing. Take a look at how Deep Learning Transformers, a sort of neural network that allows machines to work with natural language, have grown exponentially: The original Generative Pre-trained Transformer (GPT) had 110 million parameters; the new Google Brain

IRE 1703198

transformer will have more than 1 trillion. GPT-4, on the other hand, is projected to contain even more. This is an incredible increase in the size of these neural networks in such a short amount of time. Before the creation of these advanced neural networks, AI had already made significant progress: voice recognition in Alexa, machine vision (such as that used in Tesla's autonomous driving systems or Google image recognition), and algorithms that appear to surface things on social media that elicit reactions from us. And, in comparison to the future of AI, all of these applications will seem rudimentary. Promethean AI, for example, is a 3D space's speech-activated creative partner. Researchers are now unable to correctly predict the shape and limit of the future metaverse. They could only imagine some of its qualities, such as open space, decentralization, human-computer interaction, digital assets, and the digital economy. Through the effect of people's thinking, human player avatars, their inventions, and consumption in the metaverse actually affect the physical world and even modify people's behavior in the physical world, forming the post-human society's lifestyle while also reshaping the digital economic system. The Metaverse can be considered as a self-contained economic system, a complete chain of digital item production and consumption. II.

VIRTUAL USER INTERFACE

Computers are improving at recognising gestures, allowing us to connect with them more naturally — and eventually comprehend and understand emotion and body language. The photoreceptors in your eye are densest in a region called the fovea — that's where your highest resolution perception exists, and everything else is your peripheral vision. Eye-tracking is another important aspect of immerse interface for virtual reality: the photoreceptors in your eye are

ICONIC RESEARCH AND ENGINEERING JOURNALS

110


© JAN 2022 | IRE Journals | Volume 5 Issue 8 | ISSN: 2456-8880 densest in a region called the fovea— that's where your highest resolution perception exists, and everything else is your peripheral vision. Virtual reality must offer the most accurate information in the area where your eye is focused. AI is being utilised to forecast where your eye will glance next, even when you're blinking, so that the best rendering can be prepared ahead of time. This is crucial for providing the most immerse experience, and it will be crucial for next-generation technologies like holographic light fields, which require this.

additional information contributed after that newly added block is combined into a freshly formed block, which is subsequently added to the chain when it is complete. A database normally organises its data into tables, but a blockchain, as the name implies, organises its data into chunks (blocks) that are linked together. This data format produces an irreversible temporal stream of data when applied decentralized. When a block is finished, it is cast in stone and becomes part of this chronology. When a new block is added to the chain, it is assigned a time stamp. The metaverse is characterised as a vast virtual arena in which users may interact with 3D digital items and 3D virtual avatars of each other in a complicated way that resembles reality. IV.

ARTIFICIAL INTELLIGENCE IN METAVERSE

The term "metaverse" was popularised in the early 1990s by science fiction writer Neal Stephenson, and it has since been developed in sections by firms such as Second Life, Decentraland, Microsoft, ization, most recently, Meta (formerly Facebook).

Figure 1: Chain of Digital Ecosystem III.

BLOCKCHAIN TECHNOLOGY IN METAVERSE

A blockchain is a distributed database shared among computer network nodes. A blockchain acts as a database, storing data in an electronic manner. Blockchains are best recognised for preserving a secure and decentralized record of transactions in cryptocurrency systems like Bitcoin. The blockchain's innovation is that it ensures the accuracy and security of a data record while also generating trust without the use of a third party. The structure of data in a blockchain differs significantly from that of a traditional database. A blockchain is a digital ledger that accumulates data in the form of blocks, which contain sets of data. When a block is full, it closes and connects to the previous one The blockchain, a data chain, is the outcome of a complete block. All

IRE 1703198

Facebook is now well-known for its efforts in artificial intelligence and advanced AI algorithms. AI research at the organisation covers a wide range of topics, including content analysis, self-supervised voice processing, robotic interfaces, computer vision, whole-body position estimation, and much more. All of these might influence Meta's future path and drive the foundations of its business. While virtual reality environments may exist without artificial intelligence, combining the two brings a whole new level of realism. This might have an influence on the five use cases listed below: 1) Avatar Creation: Users are at the heart of the metaverse, and the accuracy of your avatar determines the quality of experience for you and other players. An artificial intelligence system may analyse 2D user photos or 3D scans to create a very realistic virtual reproduction. It may then plot a range of facial expressions, moods, hairstyles, aging-

ICONIC RESEARCH AND ENGINEERING JOURNALS

111


© JAN 2022 | IRE Journals | Volume 5 Issue 8 | ISSN: 2456-8880 related traits, and so on to make the avatar more dynamic. AI is already being used by companies such as Ready Player Me to assist in the creation of avatars for the metaverse, and Meta is developing its own version of the technology. 2) Humanoids: Humanoids can see and hear users in order to grasp what they are saying. They may also engage in human-like discussions and interactions by using voice and body language. Humanoids in the Metaverse are 3D chatbots who can react and respond to your activities in a virtual reality setting. They are non-playing characters (NPCs), who are virtual reality or gaming characters whose replies and actions are dictated by an automated script or set of rules, as opposed to a character controlled by a user or player. Digital Humanoids are fully AI-created and play a significant role in the Metaverse's construction. In the VR workplace, digital beings can vary from NPCs to automated assistants. 3) Linguistic Functionality: Language processing is one of the most common applications of AI in digital people. Artificial intelligence can assist in breaking down natural languages such as English, converting it to a machine-readable format, doing analysis, arriving at a response, converting the results back into English, and sending it to the user. This entire procedure takes only a fraction of a second, much like a genuine discussion. The best aspect is that, depending on the AI's training, the findings might be turned into any language, allowing people from all over the world to access the metaverse.

5) Instinctive Interface: Finally, AI can help with human-computer communication (HCI). When you put on a smart, AI-enabled VR headset, its sensors will be able to detect and forecast your electrical and muscle patterns in order to determine how you wish to move inside the metaverse. In VR, AI can assist in recreating an accurate feeling of touch. It can also help with voice-enabled navigation, allowing you to interact with virtual items without using hand controls. AI Characters of the Future Epic's Meta humans project, which just went into early access in April 2021, seeks to cut the time it takes to develop photo realistic avatars in half. It not only defines the character's shape, but also gives them to life through realistic movements and acting. V.

DIGITAL NETWORKS IN METAVERSE

The term "digital network" refers to a social network created with the use of digital technology. It allows for digital switching as well as digital transmission of voice, video, data, and other network services. It has markets, data networks, and communications networks that serve as a platform for aligning the network with business requirements. Digital networks are built around networking equipment such as switches, routers, and access points. These devices link and secure devices like as computers, servers, and others to organisational networks. They are also used to connect networks to other networks and to analyse data delivered over a network. • Digital Networking Characteristics:

4) Data Learning: We all know that learning data is a critical component of Machine Learning and Artificial Intelligence. When a model is fed historical data, it learns the prior model's outputs and may then recommend new outputs based on them. The more data and human feedback that is absorbed into the model, the better the outputs get each time. This raises the prospect that AI will one day be able to complete jobs and produce accurate results in the same way that humans do. There will be less human interference this way, and the Metaverse's scalability will increase with time.

IRE 1703198

1) Centralized Management - Through cloud-enabled central management, a digital network may provide end-to-end network services for onpremise and cloud environments. All network components are monitored, analysed, and managed by a central server. 2) Automation - A digital network automates network infrastructure management and sharing throughout the network. It also offers an automated environment in which intelligent machines may communicate with one another. 3) Security - By accumulating data about the traffic flow and recognising any security breach via it,

ICONIC RESEARCH AND ENGINEERING JOURNALS

112


© JAN 2022 | IRE Journals | Volume 5 Issue 8 | ISSN: 2456-8880 digital networks may identify dangers even in encrypted data traffic. 4) Virtualization - Digital networks conceptually group physical networks and allow them to function as a single or numerous separate networks known as Virtual Networks. It provides each logical network with shared access to all network resources. 5) Digital Networking in Metaverse: The drivers driving the internet's progress include an emphasis on activities, an exponential increase of producers, and a decentralized environment that allows for content linking, embedding, and mashups.

degree to which the central node controls versus enables.

a) Spoke and Hub The first is a "hub and spoke" model, in which each network node connects to a central authority that is responsible for controlling access and managing any exchanges; if you want to transact with another node on the network, you will do so through that central authority rather than directly between them.

Figure 3: Scalable Network Model VI.

METAVERSE MARKETING

Brands may use metaverse marketing to maximise their inventiveness and reach their target audience in the most appealing way possible. That is why, one by one, companies are turning to the metaverse for digital marketing. In the digital environment, there are several virtual conferences, events, and meetings. It is appealing to all individuals, especially under COVID19 situations. Even if it's only virtually, they can still be together. Changes in consumer behaviour and historical experiences indicate that the metaverse will be with us for a long time. It's just getting started, but the metaverse for digital marketing will be really exciting. Because it is still in its early stages, even simple concepts may perform effectively for companies. Many brands have already entered the fray. We also know that many more are on the road. CONCLUSION

Figure 2: Spoke and Hub Model b) Scalable Networks The second is a scale-free network in which the central node serves as a facilitator rather than an authority and nodes are free to connect with one another. True scalefree networks are now uncommon, and completely limited hub-and-spoke networks. However, the conceptual framework that you can use to understand how various types of networks are constructed is the

IRE 1703198

As technology progresses, the number of individuals who use the Metaverse grows and as actions on a similar scale to reality are carried out many and many bits of information are created. The metaverse data is valuable in and of itself. The quantity of data in the Metaverse rises as does its value and so does the necessity of security and dependability. Blockchain technology is critical for ensuring data security in the Metaverse. Artificial intelligence is also used to safeguard the Metaverse's diversity and richness.

ICONIC RESEARCH AND ENGINEERING JOURNALS

113


© JAN 2022 | IRE Journals | Volume 5 Issue 8 | ISSN: 2456-8880 Digital Networking is also a great platform to connect the humanoids in the metaverse.

REFERENCES [1] J. Joshua, “Information bodies: Computational anxiety in neal stephenson’s snow crash,” Interdisciplinary Literary Studies, vol. 19, no. 1, pp. 17–47, 2017. [2] Meta, “Introducing meta: A social technology company,” https://about.fb.com/news/2021/10/facebook company-is-now-meta/, accessed: 2021-11-11. [3] P. Ambrasaite and A. Smagurauskait ˙ e, “Epic games ˙ v. apple: Fortnite battle that can change the industry,” Vilnius University Open Series, pp. 6–25, 2021. [4] E. Games, “The world’s most open and advanced real-time 3d creation tool,” https://www.unrealengi ne.com/en-US/, accessed: 2021-11-11. [5] M. Seymour, C. Evans, and K. Libreri, “Meet mike: epic avatars,” in ACM SIGGRAPH 2017 VR Village, 2017, pp. 1–2. [6] E. Games, “Fortnite,” Epic Games, 2017. [7] E. Kain, “Epic games pulls travis scott emote from ‘fortnite’ item shop,” https://www.forbes.com/sites /erikkain/2021/11/09/epic-games-pulls-travisscott -emote-from-fortnite-itemshop/?sh=7f5cbabe4708, accessed: 2021-11-13. [8] L. Lik-Hang, T. Braud, P. Zhou, L. Wang, D. Xu, Z. Lin, A. Kumar, C. Bermejo, and P. Hui, “All one needs to know about metaverse: A complete survey on technological singularity, virtual ecosystem, and research agenda.” [9] J. D. N. Dionisio, W. G. B. III, and R. Gilbert, “3d virtual worlds and the metaverse: Current status and future possibilities,” ACM Computing Surveys (CSUR), vol. 45, no. 3, pp. 1–38, 2013.

“Mapping the nft revolution: market trends, trade networks and visual features,” arXiv preprint arXiv:2106.00647, 2021. [12] N. Lambert, “Beyond nfts: A possible future for digital art,” ITNOW, vol. 63, no. 3, pp. 8–10, 2021. [13] W. Y. B. Lim, Z. Xiong, D. Niyato, X. Cao, C. Miao, S. Sun, and Q. Yang, “Realizing the metaverse with edge intelligence: A match made in heaven,” 2022. [14] M. Xu, D. Niyato, J. Kang, Z. Xiong, C. Miao, and D. I. Kim, “Wireless edge-empowered metaverse: A learning-based incentive mechanism for virtual reality,” arXiv preprint arXiv:2111.03776, 2021. [15] W. C. Ng, W. Y. B. Lim, J. S. Ng, Z. Xiong, D. Niyato, and C. Miao, “Unified resource allocation framework for the edge intelligenceenabled metaverse,” arXiv preprint arXiv:2110.14325, 2021. [16] H. Du, D. Niyato, J. Kang, D. I. Kim, and C. Miao, “Optimal targeted advertising strategy for secure wireless edge metaverse,” CoRR, vol. abs/2111.00511, 2021. [Online]. Available: https: //arxiv.org/abs/2111.00511 [17] Y. Jiang, J. Kang, D. Niyato, X. Ge, Z. Xiong, and C. Miao, “Reliable coded distributed computing for metaverse services: Coalition formation and incentive mechanism design,” CoRR, vol. abs/2111.10548, 2021. [Online]. Available: https://arxiv.org/abs/2111.10548 [18] Y. Han, D. Niyato, C. Leung, C. Miao, and D. I. Kim, “A dynamic resource allocation framework for synchronizing metaverse with iot service and data,” arXiv preprint arXiv:2111.00431, 2021. [19] J. Y. Lee, “A study on metaverse hype for sustainable growth,” International journal of advanced smart convergence, vol. 10, no. 3, pp. 72–80, 2021.

[10] W. LaDuke, “Traditional ecological knowledge and enviromental futures,” Colo. J. Int’l Envtl. L. & Pol’y, vol. 5, p. 127, 1994.

[20] H. Duan, J. Li, S. Fan, Z. Lin, X. Wu, and W. Cai, “Metaverse for social good: A university campus prototype,” in Proceedings of the 29th ACM International Conference on Multimedia, 2021, pp. 153–161.

[11] M. Nadini, L. Alessandretti, F. Di Giacinto, M. Martino, L. M. Aiello, and A. Baronchelli,

[21] M. Rymaszewski, W. J. Au, M. Wallace, C. Winters, C. Ondrejka, and B. Batstone-

IRE 1703198

ICONIC RESEARCH AND ENGINEERING JOURNALS

114


© JAN 2022 | IRE Journals | Volume 5 Issue 8 | ISSN: 2456-8880 Cunningham, Second life: The official guide. John Wiley & Sons, 2007. [22] R. Arnaud and M. C. Barnes, COLLADA: sailing the gulf of 3D digital content creation. CRC Press, 2006. [23] Decentraland, https://builder.decentraland 2021-12-15.

.org/,

“Builder,” accessed:

[24] L.-H. Lee, Z. Lin, R. Hu, Z. Gong, A. Kumar, T. Li, S. Li, and P. Hui, “When creators meet the metaverse: A survey on computational arts,” arXiv preprint arXiv:2111.13486, 2021. [25] M. Bourlakis, S. Papagiannidis, and F. Li, “Retail spatial evolution: paving the way from traditional to metaverse retailing,” Electronic Commerce Research, vol. 9, no. 1, pp. 135–148, 2009.

IRE 1703198

ICONIC RESEARCH AND ENGINEERING JOURNALS

115


Turn static files into dynamic content formats.

Create a flipbook
Issuu converts static files into: digital portfolios, online yearbooks, online catalogs, digital photo albums and more. Sign up and create your flipbook.