The metaverse is the technology that speaks most of the technology lovers. It has the ability to unite the physical and digital worlds. The concept of metaverse is based on the promises that can make this future technology. A more complete decentralized world in Web3 content, virtual world identity verification, intelligent contracts for legislation and ETP, is a cryptocurrency that drives the metaverse platform Blockchain-as-a-Service (BaaS) are among the main promises. Web3 has the potential to be the future of the Internet. This happens on a large scale. It features an interoperable platform and real-time conversations that connect digital areas. This Web3 is able to provide users with state-of-the-art services. The way services are regulated differs somewhat. Instead of the main brands of information technologies, this will be administered by the community.
The first promise is that the metaverse gives the community a decentralized reality. It is similar to the Web3 concept in the sense that people manage their own data, digital assets and identities, which are safe and tested in manipulations, as they are stored in a larger distributed book. The goal will be to empower all people who use the Internet, unlike the current Web2, where few concentrated technology companies have the greatest control. The community uses Web3 the same way that a car uses a road to enter the metaverse. All of this responsible is based on the methodology of artificial intelligence, has a crucial importance for this new type of ecosystem for the community.
Artificial and Metaverse Intelligence
Artificial Intelligence (IA) is a branch of science that deals with the creation of intelligent computational models capable of performing tasks traditionally performed by humans. To be more specific, combining AI with metaverse ensures the reliability of metaverse infrastructure. In this scenario, the forest architecture has seven layers: Experience, discovery, creator's economy, spatial computing, decentralization, human interface computation and infrastructure, and Figure 1 demonstrates the importance of AI technique for the metaverse value chain.
Figure 1. The AI for metaverse value chain.
The AI allows computer models, usually through automatic learning, to issue autonomous judgments. As a result, AI not only helps commercial operations and metaverse products, but also inclusion and accessibility. Consider how AI interacts with the metaverse. These are the four ways in which artificial intelligence can help advance the metaverse technology:- Digital Gemelo for replication between words:
It is an AI-based digital representation of a real-world object, system or physical process that serves as its basically identical digital equivalent for practical purposes. In fact, when digital twins self-generate, they can behave more like real humans. Self-supervision learning from automatic learning approaches increases the capabilities of AI algorithms.
- Increase the potential of mixed reality:
Most AI investment in this sector focuses on developing virtual reality scenarios. Each time, the AI engine examines the previous data and generates new results. The AI advances towards creating a virtual environment similar to the real world. There are results that are virtually genuine. He discovered how to create real people to create complete virtual worlds.
- Multilingual accessibility based on global networks:
The availability of languages for each user is the basic concept of multilingual accessibility. It has several linguistic components. This trace is used by digital people for communication and language. The ability to convert one language to any other language is known as accessibility in several languages. It is only available for those who have received sufficient AI experience and their applications.
- Identification and virtual creation:
The term "avatar" refers to visual representation of thoughts or non-visual objects. Simbolizes the online community. Just improve the user experience, AI helps users create accurate avatars for themselves. AI algorithms use 3D scanners to evaluate 2D sample images to create an extremely realistic simulated image. Consider emotions, age, facial expressions, haircuts and hair color. Finally, it combines them and fuses them all to make the avatar more realistic.
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