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.

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

If you played Pokémon Go, there's a chance you helped with the development of training robots and AI.

It has been around 10 years since Pokémon Go peaked in popularity. But there was a time when millions of people worldwide were pounding the pavement in ...

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

Pokémon Go's vast player-submitted image data is now powering real-world robotics. Niantic Spatial converts these billions of ground-level images into a photorealistic street-level model, enabling ...

The early augmented reality smartphone app prompted hundreds of millions of players to wander into parks, parking lots, and even dimly lit alleyways, peering through their phone cameras in search of ...

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

Over 10 years of Pokémon GO location mapping data is being used to help power Coco Robotics' autonomous couriers, helping ...

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 ...

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 ...

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 ...