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.

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),

You probably didn't know it, but if you played or are still playing Pokémon Go (there are more than half a million active players), you were helping train an AI-powered geospatial model that aims to map the world.

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

Pokémon Go developer Niantic is hard at work building and training an AI to essentially be able to auto-complete real-world locations with only a limited amount of information. And it's using data collected by Pokémon Go players to do it.