Niantic's geospatial model is using geolocation data from scans players submit of real-world locations while playing the company's mobile games.

Data captured from Pokémon Go and other games are being used to create large AI models that can predict what buildings and other objects look like.

Niantic, the team behind Pokemon Go, is working on a new type of AI model that's training on data from its apps.

Pokemon Go” developer Niantic announced its new AI model on Nov. 12, created using data players have sent over the years. The large geospatial model (LGM), built using the San Francisco-based studio’s visual positioning system (VPS),

Making us genuinely nostalgic for those days when all that Pokémon Go users were doing was finding corpses and committing crimes, today it turns out that they’ve also been training robots how to, like,

Pokemon GO developer Niantic has revealed that they used player data from the popular mobile game to help build their large geospatial model. Released in 2016 and taking the world by storm, Pokemon GO is a popular mobile version of the iconic Pokemon series.

For better or worse, it’s an AI world, and we’re all just living in it. Yes, even if that world is the world of Pokémon GO. Via the folks at IGN, we’ve learned that Pokémon GO developer Niantic is currently creating an AI designed to auto-complete real-world locations.