AI powered XR Series
Meta AI: Powering Next Generation of XR experiences
In this series of articles, we will explore how Meta AI is powering the next generation of XR experiences, and learn about developing XR application using Meta AI for various devices. Let’s first understand Meta AI!
In today’s technology-driven world, artificial intelligence (AI) has become integral to our daily lives. From virtual assistants who understand our voice commands to personalized recommendations on our favorite platforms, AI transforms how we interact, work, and live. Among the pioneers of this AI revolution is Meta AI, a cutting-edge technology designed to push the boundaries of what is possible. Meanwhile, XR technology is being increasingly enhanced by AI. In this series of articles, we will explore how Meta AI is powering the next generation of XR experiences. This article introduce you with Meta AI, and later we will provide tutorials on developing with MataAI for various devices.
Introducing Meta AI
Developed by Meta, this intelligent assistant is capable of complex reasoning, following instructions, visualizing ideas, and solving nuanced problems. Leveraging advanced natural language processing (NLP) and machine learning algorithms, Meta AI understands and responds to human input, making it an ideal companion for individuals seeking information, assistance, or simply a chat.
Meta AI Features
- Image Generation: Meta AI empowers users to bring their imagination to life by generating stunning, realistic images from text prompts at unprecedented speeds.
- Text Generation: It provides accurate and up-to-date text responses to user queries using real-time information.
- Meta Apps Integration: Seamlessly integrated into Meta’s ecosystem of apps, including Instagram, WhatsApp, and Facebook, Meta AI offers conversational assistance, recommendations, answers to questions, and generation of images and texts.
How Meta AI Works
Meta AI uses natural language processing (NLP) and machine learning algorithms to understand prompts and provide relevant responses. It is trained on Meta’s Llama 3 Large Language Model (LLM), enabling it to perform a variety of tasks.
Llama 3: The Backbone of Meta AI
Llama 3 is an open-source LLM designed for developers, researchers, and businesses to build, experiment, and responsibly scale their generative AI ideas. Available in two models — 8 billion parameters (8B) and 70 billion parameters (70B) — Meta is also working on creating a 400B+ model.
We can make use of Llama 3 models by downloading it from the below respective sites:
AI usages for XR at Meta
Meta is leveraging AI in Extended Reality (XR) — encompassing Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) — to create more immersive, interactive, and personalized experiences. Here’s a closer look at how AI is transforming XR at Meta:
Meta Movement SDK
Meta has used AI to enhance virtual reality (VR) immersion through computer vision algorithms that track user movement in real-time for its Meta Quest products.
The Meta Movement SDK can be used for body, head, and eye tracking, enhancing users’ experiences:
- Body Tracking: Provides transforms of users’ poses in 3D spaces, which can be used to animate their character.
- Face Tracking: Uses inward cameras and microphones to infer facial movements.
- Eye Tracking: The Eye Gaze API drives the eye transforms for a user’s embodied character as they look around.
Passthrough in Quest devices
- Through AI, 3D geometry improvements in passthrough have been enhanced in Quest 3 which helps to provide an enhanced MR experience to its users. To reconstruct the surrounding environment in 3d, it recognizes the room environment and dynamically locates them in space.
- AI-powered computer vision algorithms can enhance the recognition of objects and environments in XR. This capability is crucial for applications like AR, where virtual objects need to be accurately placed and interact with real-world objects.
- Tutorial to enable passthrough using Meta XR SDK
3D reconstruction
- Meta’s 3D reconstruction and scene understanding capabilities are being used to create highly detailed, photorealistic environments.
- SceneScript: AI model for 3D reconstruction by Reality Labs Research. Currently, it is available only for the internal research team at Meta.
Use Cases of AI in XR
Extended Reality (XR), encompassing Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), is a domain where Meta AI’s capabilities truly shine. Here are some compelling use cases:
- Ray-Ban Smart Glasses: Meta has collaborated with Ray-Ban to create smart glasses powered by generative AI. These glasses can make calls, send texts using voice commands, and provide information about real-time objects. Learn more: Ray-Ban Smart Glasses
- Adaptive Learning: AI in VR can enhance learning through personalization and adaptive methods, providing unique experiences for each team member and adjusting lessons based on their knowledge and progress. More information here.
- Virtual Meetings with AI Assistance: AI can assist in managing schedules, optimizing meeting agendas, and providing real-time analytics on meeting effectiveness. It can also facilitate virtual networking events in XR, recommending connections based on professional interests and interaction histories.
- Enhanced Interaction in Mixed Reality In MR, Meta AI enables more natural and intuitive interactions between the digital and physical worlds. For instance, it can recognize and respond to physical gestures and objects, creating a seamless blend of realities.
Building Meta AI for Quest device
Now that we have learned about Meta AI, next we will discuss about developer MetaAI based application on Meta Quest devices.
Conclusion
Meta AI stands at the forefront of artificial intelligence innovation, driving advancements across various sectors. Its powerful features and versatile applications are transforming how we interact with technology and each other. In the realm of extended reality, Meta AI’s potential is particularly exciting, promising to create richer, more immersive, and personalized experiences. As AI continues to evolve, the possibilities for Meta AI and its impact on our daily lives are boundless.
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