Niantic Uses Pokémon Go to Build AI Geospatial Navigation System
- Niantic announced plans to develop an AI model for navigation, utilizing data from players of its mobile games and users of its Scaniverse app.
- The company describes its creation as a 'large geospatial model' containing over 150 trillion parameters.
- Niantic's Visual Positioning System uses a single phone image to determine location from a 3D map built from player scans over five years.
53 Articles
53 Articles
How armies are planning to use Pokemon Go’s data to train geospatial AI model for urban combat
The development of LGM builds upon Niantic’s existing Lightship Visual Positioning System (VPS), which has already mapped 10 million locations globally. These scans are uniquely valuable as they capture environments from a pedestrian perspective, often inaccessible to vehicle
Pokémon Go Was A Plot To Use Your Data To Fast Track An AI-Slop Google Maps Competitor
Niantic, the privately-held Pokémon Go app parent company, brought the augmented-reality app to the masses in July of 2016, and the game made it onto over a billion phones before 2019. Statistically you’ve probably played it, but in case you haven’t, players of the game must travel to locations in the physical world…Read more...
Pokémon Go developer uses its unwitting players’ data to train its latest AI
POKÉMON Go is one of the most popular mobile games in the world, and with a huge player base, it collects a lot of data. While Niantic promises to protect any personal data such as your name, email, or social media accounts, the same cannot be said for location and AR data. NianticPokémon Go encourages people to go out and explore the world[/caption] NianticThat includes using AR to scan landmarks like Pokéstops[/caption] NianticAnd all that dat…


Your Pokemon Go data is training an AI model
Niantic is using Pokemon Go data to train new AI models.
Gotta Catch 'Em All: How Pokémon Go covertly captured your data for years to train a massive AI model
Niantic, the company behind Pokémon Go, has been scraping users’ scans of the world to build a model that will help robots navigate physical space. Some experts are worried about the potential applications.
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