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Niantic Spatial is an AI map data company, building what it calls a large geospatial model and used Pokemon Go players to map out locations around the world.
As reported by Game Developer, Niantic confirmed that a "small number" of employees had been let go from Spatial which is building a geospatial AI model.
In March, Niantic made a bombshell announcement: the developer of Pokemon Go — once the biggest mobile game ever in the U.S. — is abandoning games to go all-in on AI. It has sold off its game ...
Spexi Geospatial is launching the LayerDrone Foundation and its decentralized network aimed at encouraging a community of amateur drone pilots to capture ultra-high resolution Earth imagery.
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Pokemon GO Data Used to Train Geospatial AI Model - MSNNiantic is building a geospatial AI model using data from popular AR games like Pokemon GO. The model, called the Large Geospatial Model, aims to enhance interactions in physical spaces globally.
Introduction Niantic, the pioneering gaming company known for titles like Pokémon GO, is embarking on a bold new course that signals significant changes in its business model. This article delves into ...
Niantic Inc, a former Google spin-off responsible for the hugely popular Pokémon GO and other virtual reality games, has announced that it will split into two arms — one focused on gaming and the ...
Using this raw data, Niantic, which develops Pokémon Go and other games, is aiming to create the first ground-level geospatial model of the earth, a model that can see, reason, and interact with ...
Additionally, Niantic’s geospatial AI business is splitting off into its own separate wing as Niantic Spatial Inc., led by John Hanke. This new company will receive $250 million in funding.
Niantic sees the rapid advance of AI as an opportunity to put its geospatial technology to work in consumer and business applications along with games. The new company, called Niantic Spatial, is ...
If Chat-GPT is a large language model fed on large amounts of textual data, Niantic’s geospatial model was trained on map data from sources like Google Street View/Google Earth and OpenStreetMap.
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