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

The data collected by the AR games now consists of more than 30 billion images captured from different angles, times of day, ...

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.

Niantic Labs has revealed they're using part of the Pokemon Go dataset to work with a robotics company to make deliveries ...

The hit mobile game Pokémon GO has come under scrutiny following claims that images captured within the app may have been ...

Pokémon Go players unknowingly trained delivery robots for years after generating over 30 billion scans that Niantic has now repurposed to power Coco Robotics’ autonomous bots ...

There are hundreds of Pokémon to catch in Pokémon GO, but some of them are rarer than others, like regional exclusives or ...

Niantic Spatial, a spinout of the game maker behind the mobile phenomenon, is putting all that AR creature-catching data to interesting use. Walking down the street to scavenge for creatures like ...

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

Each robot employs multiple cameras to perceive its surrounding environment, matching those visual inputs against Niantic ...

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 ...