Final week, Niantic introduced plans to create an AI mannequin for navigating the bodily world utilizing scans collected from gamers of its cellular video games, akin to Pokémon Go, and from customers of its Scaniverse app, reviews 404 Media.
All AI fashions require coaching knowledge. To this point, corporations have collected knowledge from web sites, YouTube movies, books, audio sources, and extra, however that is maybe the primary we have heard of AI coaching knowledge collected by way of a cellular gaming app.
“Over the previous 5 years, Niantic has centered on constructing our Visible Positioning System (VPS), which makes use of a single picture from a cellphone to find out its place and orientation utilizing a 3D map constructed from individuals scanning attention-grabbing areas in our video games and Scaniverse,” Niantic wrote in an organization weblog publish.
The corporate calls its creation a “giant geospatial mannequin” (LGM), drawing parallels to giant language fashions (LLMs) like the type that energy ChatGPT. Whereas language fashions course of textual content, Niantic’s mannequin will course of bodily areas utilizing geolocated photographs collected by way of its apps.
The size of Niantic’s knowledge assortment reveals the corporate’s sizable presence within the AR house. The mannequin attracts from over 10 million scanned areas worldwide, with customers capturing roughly 1 million new scans weekly by way of Pokémon Go and Scaniverse. These scans come from a pedestrian perspective, capturing areas inaccessible to automobiles and street-view cameras.
First-person scans
The corporate reviews it has skilled greater than 50 million neural networks, every representing a particular location or viewing angle. These networks compress 1000’s of mapping photographs into digital representations of bodily areas. Collectively, they comprise over 150 trillion parameters—adjustable values that assist the networks acknowledge and perceive areas. A number of networks can contribute to mapping a single location, and Niantic plans to mix its data into one complete mannequin that may perceive any location, even from unfamiliar angles.
Final week, Niantic introduced plans to create an AI mannequin for navigating the bodily world utilizing scans collected from gamers of its cellular video games, akin to Pokémon Go, and from customers of its Scaniverse app, reviews 404 Media.
All AI fashions require coaching knowledge. To this point, corporations have collected knowledge from web sites, YouTube movies, books, audio sources, and extra, however that is maybe the primary we have heard of AI coaching knowledge collected by way of a cellular gaming app.
“Over the previous 5 years, Niantic has centered on constructing our Visible Positioning System (VPS), which makes use of a single picture from a cellphone to find out its place and orientation utilizing a 3D map constructed from individuals scanning attention-grabbing areas in our video games and Scaniverse,” Niantic wrote in an organization weblog publish.
The corporate calls its creation a “giant geospatial mannequin” (LGM), drawing parallels to giant language fashions (LLMs) like the type that energy ChatGPT. Whereas language fashions course of textual content, Niantic’s mannequin will course of bodily areas utilizing geolocated photographs collected by way of its apps.
The size of Niantic’s knowledge assortment reveals the corporate’s sizable presence within the AR house. The mannequin attracts from over 10 million scanned areas worldwide, with customers capturing roughly 1 million new scans weekly by way of Pokémon Go and Scaniverse. These scans come from a pedestrian perspective, capturing areas inaccessible to automobiles and street-view cameras.
First-person scans
The corporate reviews it has skilled greater than 50 million neural networks, every representing a particular location or viewing angle. These networks compress 1000’s of mapping photographs into digital representations of bodily areas. Collectively, they comprise over 150 trillion parameters—adjustable values that assist the networks acknowledge and perceive areas. A number of networks can contribute to mapping a single location, and Niantic plans to mix its data into one complete mannequin that may perceive any location, even from unfamiliar angles.
