Imagine a virtual world where you can live: you go to work, you interact with friends, you meet new people, and you shop - all from the comfort of your home. Yes, it's possible, all thanks to a futuristic technology called metaverse.
The term metaverse first appeared in author Neal Stephenson's 1992 sci-fi novel Snow Crash. However, Facebook's rebrand to Meta underpinned the idea of the metaverse in the world. While it's still in the early stages, over 600 million users interact with this technology.
Metaverse bridges the gap between the physical and virtual worlds. However, the technology within itself can't offer much to users. Artificial intelligence (AI) and machine learning (ML) are two key technologies that empower metaverse to offer users genuine experiences virtually.
This article will delve into the intricate relationship between AI & ML and the metaverse, highlighting how these technologies serve as the cornerstone for the growth and evolution of the metaverse.
Metaverse is described as a digital world where users can interact with one another and digital content in real time. It's a space where physical and virtual realities intertwine, creating an expansive space for communication, creativity, commerce, and more.
Simply put, users can explore, work, travel, communicate with others, and shop in this virtual world.
Artificial intelligence and machine learning are often used interchangeably, but they have differences. AI is a technology that mimics the way humans think and act. Machine learning is a sub-domain of AI that uses algorithms to train computers to learn from data or past experiences.
AI & ML, alongside a few other technologies, currently support the metaverse. But these two are the core technologies without which the concept of the virtual world cannot be viable. Now that you know what is AI and ML, here's a detailed look into how they impact and benefit the metaverse.
One of the most profound ways AI impacts the metaverse is by supporting its expansion. The subdomains of machine learning and deep learning in artificial intelligence ensure that AI engines can use historical data and learn from previous results to develop new ideas.
In addition, the output of AI models improves each time with every new input, human feedback, and machine learning reinforcement. With time, AI will gradually evolve to a stage where it can perform tasks and offer outputs like human users. This breakthrough will be crucial in enhancing the expansion of the metaverse AI since new worlds can be created without human intervention.
AI helps eliminate the language barrier and facilitate effective communication in the metaverse. It comes with natural language processing features that help to break down the languages and convert them into the native language of users within seconds.
AI models can also be trained to offer answers in any language, enhancing access to the metaverse for users worldwide.
In the metaverse, AI can help to develop an intelligent and dynamic virtual environment. These environments can adapt to changing circumstances, respond to user actions, and generate real-time procedural content. For instance, AI algorithms can create realistic terrain, ecosystems, and weather patterns, building a more vibrant and realistic virtual world.
What is even better is that AI can adjust virtual environments based on the user's interests and preferences – customising everything to deliver a personalised user experience virtually.
AI-based virtual assistants can help users with real-time guidance, support, and information within the metaverse. These assistants can comprehend users' queries and, based on that, suggest relevant answers. They can even assist in solving challenges or completing tasks, enhancing the user experience.
In addition, virtual assistants could offer suggestions for creating virtual spaces and digital objects that fit users' interests and needs.
Creating diverse and expansive virtual worlds within the metaverse is an extensive task that demands immense content creation. The metaverse requires a constant stream of assets from landscapes to buildings, objects to characters.
This is where AI comes into the picture, transforming content generation.
AI algorithms, such as procedural content generation and generative adversarial networks, enable the automatic creation of engaging content to populate the virtual world. This automation speeds up the content generation process and creates a rich and dynamic metaverse landscape for people to explore within a shorter time.
AI & ML use cases in the metaverse are diverse and transformative, enhancing user experience and driving innovation. Here are some of the prominent AI & ML applications with the metaverse.
In the metaverse, users interact with each other through their virtual avatars, and their accuracy influences the overall experience.
Leveraging AI, metaverse can create lifelike avatars of users to enhance their engagement and interaction in the virtual world. AI models analyse 2D sample images with 3D scanners to generate a highly natural simulated avatar. They can also emulate emotional and physical characteristics like body language and facial expressions to make avatars more dynamic and realistic.
Digital humans are not avatars of people but 3D avatars of chatbots in the virtual world. They're more like AI-enabled non-playable characters or NPCs that closely resemble human beings in their functionality.
Digital humans are a significant part of the virtual world, constructed entirely using AI technology. They can respond to actions taking place within the metaverse. You can find digital humans in various domains of the metaverse. They are present as NPCs in video games and robot-controlled assistants in VR-based workspaces.
The metaverse enables users to engage with digital objects, virtual environments, and each other. AI serves as a facilitator in the digital world, helping enhance communication and creating memorable social experiences.
With AI-driven event tools for coordination, you can organise virtual conferences, concerts, gatherings, and more. These tools help in scheduling, handling guests, and even creating interactive activities to keep the attendees engaged.
Furthermore, real-time translation services powered by AI in the metaverse break down communication barriers, allowing participants to interact and collaborate easily.
While AI comes with immense potential to speed up the growth of the metaverse, several challenges are also present. These need to be addressed to ensure the successful integration of AI & ML within the virtual world.
The seamless interaction between users and their AI avatars requires sophisticated natural language processing (NLP) and machine learning abilities. AI still struggles with understanding humour, context, and nuances in human communications. Advancements in NLP are necessary to ensure effective and immersive virtual interactions.
Moreover, the AI-driven virtual world demands substantial computing power. AI algorithms, complex physics simulations, and real-time rendering increase the need for robust hardware infrastructure.
AI creates realistic avatars in the metaverse. It makes the virtual experience more real. But, it poses a problem in the real world.
AI has made deepfake photos and videos very realistic. They are all over the internet. They have sparked controversy and confusion among people and the media. AI will improve. This will make deepfake better. They can increase fraud and deception in the real world.
Proper rules and regulations are needed to protect users and ensure fair and responsible use of digital avatars and metaverse.
AI is taking centre stage in the metaverse. It is raising concerns about replacing human creativity. AI & ML can create content, design, and compose music. But, it's important to balance human input and automation.
No tech can replace human creativity. It brings authenticity, uniqueness, and diverse views to the metaverse. So, it's vital to ensure that AI complements human creativity. This will preserve the authenticity and diversity of virtual spaces.
The fusion of AI & ML in the metaverse can help in faster development and expansion of virtual spaces. AI empowers the metaverse. It does this by creating accurate avatars, adaptive content, and personalised virtual environments. These aspects deliver a more user-focused experience.
Embracing AI in the metaverse offers the chance to thrive in the digital world. It also helps to connect with a global audience.
But, the metaverse's progress depends on facing the challenges of AI. Establishing specific legal frameworks for AI-generated content and cyber security measures is important. That way, AI & ML will make a safe metaverse. Users can explore, create, and connect without the worry of cyber-attacks.
Contact GrowthJockey to use the power of AI & ML. They will shape great digital experiences for your business growth.
A combination of five advanced technologies supports the metaverse. Apart from AI & ML, these include extended reality, IoT, edge computing, and blockchain technology.
Extended reality is an umbrella term that comprises augmented reality (AR) and virtual reality (VR). Both these technologies enable real-time interaction in the metaverse. They also help to create objects and design landscapes in the virtual world.
A mobile device or laptop is sometimes all you need to access the virtual world. However, when dealing with larger platforms of metaverse AI, such as Roblox or The Sandbox, you will need equipment such as a VR headset.