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Your Pokémon Go data might be used to train AI.
Niantic, the developer behind the once-popular game inspired by the hit anime series, announced in a blog post last week the creation of a “Large Geospatial Model.”
As explained by 404 Media’s Emanuel Maiberg, the LGM is described as an artificial intelligence system designed to “not only to perceive and understand physical spaces, but also to interact with them in new ways.”
With over 10 million scanned locations and an influx of weekly updates, Niantic aims to advance AR glasses, robotics, content creation, and autonomous systems.
“Imagine yourself standing behind a church. Let us assume the closest local model has seen only the front entrance of that church, and thus, it will not be able to tell you where you are. The model has never seen the back of that building,” explains Niantic on their blog.
“But on a global scale, we have seen a lot of churches, thousands of them, all captured by their respective local models at other places worldwide. No church is the same, but many share common characteristics. An LGM is a way to access that distributed knowledge.”
The technology builds on Niantic’s Lightship Visual Positioning System (VPS), which is said to provide highly accurate spatial data, which can place virtual items in specific locations.
These features are already making their way into your Pokémon Go experience. One example being the Pokémon Playgrounds feature that allows players to place Pokémon at specific real-world locations where they’re visible for others to interact with, even after the original player has left.
Niantic, who developed and released Pokémon Go in 2016, did not clarify when it began to collect data from its users to develop their AI products. The company also did not respond to a request for comment from 404 Media on how individual data can be used.
in HTML format, including tags, to make it appealing and easy to read for Japanese-speaking readers aged 20 to 40 interested in fashion. Organize the content with appropriate headings and subheadings (h1, h2, h3, h4, h5, h6), translating all text, including headings, into Japanese. Retain any existing
tags from
Your Pokémon Go data might be used to train AI.
Niantic, the developer behind the once-popular game inspired by the hit anime series, announced in a blog post last week the creation of a “Large Geospatial Model.”
As explained by 404 Media’s Emanuel Maiberg, the LGM is described as an artificial intelligence system designed to “not only to perceive and understand physical spaces, but also to interact with them in new ways.”
With over 10 million scanned locations and an influx of weekly updates, Niantic aims to advance AR glasses, robotics, content creation, and autonomous systems.
“Imagine yourself standing behind a church. Let us assume the closest local model has seen only the front entrance of that church, and thus, it will not be able to tell you where you are. The model has never seen the back of that building,” explains Niantic on their blog.
“But on a global scale, we have seen a lot of churches, thousands of them, all captured by their respective local models at other places worldwide. No church is the same, but many share common characteristics. An LGM is a way to access that distributed knowledge.”
The technology builds on Niantic’s Lightship Visual Positioning System (VPS), which is said to provide highly accurate spatial data, which can place virtual items in specific locations.
These features are already making their way into your Pokémon Go experience. One example being the Pokémon Playgrounds feature that allows players to place Pokémon at specific real-world locations where they’re visible for others to interact with, even after the original player has left.
Niantic, who developed and released Pokémon Go in 2016, did not clarify when it began to collect data from its users to develop their AI products. The company also did not respond to a request for comment from 404 Media on how individual data can be used.
and integrate them seamlessly into the new content without adding new tags. Ensure the new content is fashion-related, written entirely in Japanese, and approximately 1500 words. Conclude with a “結論” section and a well-formatted “よくある質問” section. Avoid including an introduction or a note explaining the process.
