A 30-billion-image dataset built by players over the last decade is now being used to train an AI navigation system ...

Niantic's AI spinout is training a new world model using 30 billion images of urban landmarks crowdsourced from players.

How Niantic Spatial is turning a decade of 30 billion crowdsourced photos and data into the most precise urban navigation system delivery robots ever had.

Former Pokémon Go owner Niantic announced last week that it will be using the data generated by millions of users to assist ...

Niantic’s spatial AI, built partly from optional scans submitted through its AR games, is now helping delivery robots ...

Pokémon Go players may have unknowingly helped build a massive AI training dataset through years of scanning real-world locations.

What started as a simple mobile game in 2016 is now helping machines navigate cities with precision. The millions of Pokémon Go players roaming cities and other places unknowingly created ...

Explore how Pokémon Go's player-generated data has been used in advanced AI mapping systems, raising questions about privacy ...

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 ...

How Pokemon Go players have been unwittingly training AI navigation robots - ...