Niantic Leverages Pokémon Go Player Data to Revolutionize AI Navigation System

"Niantic Uses Pokémon Go Data to Transform AI Navigation"

Niantic plans to create an AI model for navigating the physical world using player scans from its mobile games and the Scaniverse app.

Sam Gupta20 November 2024Last Update : 4 weeks ago

A man plays Pokemon Go game on a smartphone on July 22, 2016 in Tokyo, Japan.

arstechnica.com

Last week, Niantic unveiled an exciting new AI model designed for navigating the physical world. This innovative system will utilize data collected from players of popular mobile games, including Pokémon Go, and users of the Scaniverse app. But how will this technology reshape our understanding of augmented reality?

6 Key Takeaways

Niantic's AI model uses player scans.
Data collected from mobile gaming apps.
Visual Positioning System determines location.
Large geospatial model processes physical spaces.
Over 10 million scanned locations worldwide.
50 million neural networks trained for mapping.

Fast Answer: Niantic is developing an AI navigation model using data from mobile game players. This model, based on over 10 million scanned locations, aims to enhance AR experiences by processing real-world environments. It’s a groundbreaking step for AI and augmented reality in the U.S.

Niantic’s AI Navigation System: A Game Changer for Augmented Reality

How can AI transform our interaction with the physical world? Niantic’s new model, known as a large geospatial model (LGM), is set to do just that. By leveraging data from millions of user-generated scans, this technology promises to create a more immersive AR experience.

Info! This development is particularly relevant for U.S. users, as it enhances local navigation and AR applications, making them more intuitive and accessible.

Understanding Niantic’s Large Geospatial Model and Its Impact

Niantic’s model is built on a staggering amount of data, with over 10 million scanned locations worldwide. This extensive database allows the AI to understand physical spaces from unique perspectives, unlike traditional mapping technologies. Here are some key points about the model:

Utilizes scans from players and app users for data collection.
Processes physical locations using geolocated images.
Incorporates over 150 trillion parameters for enhanced recognition.
Updates with approximately 1 million new scans weekly.

The Technology Behind Niantic’s AI Model

Niantic’s AI model relies on a network of over 50 million neural networks, each representing unique locations or angles. This technology compresses thousands of images into digital formats, allowing the AI to recognize and interpret various environments. How does this compare to other AI models?

Unlike text-based AI, this model focuses on visual data.
It aims to improve navigation in areas difficult for cars to access.
Combines data from multiple networks for a comprehensive understanding.

The Future of AR and AI Integration

As Niantic continues to innovate, the potential applications of this technology are vast. Imagine using your smartphone to navigate through complex urban environments or exploring new places with enhanced AR overlays. This model could revolutionize how we interact with our surroundings.

In conclusion, Niantic’s ambitious project represents a significant leap forward in the realm of augmented reality and AI. By harnessing the power of user-generated data, the company is poised to redefine navigation and enhance our experiences in the physical world.