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Niantic announces “Large Geospatial Model” trained on Pokémon Go player data
At Niantic, we are pioneering the concept of a Large Geospatial Model that will use large-scale machine learning to understand a scene and connect it to millions of other scenes globally.
The LGM will enable computers not only to perceive and understand physical spaces, but also to interact with them in new ways, forming a critical component of AR glasses and fields beyond, including robotics, content creation and autonomous systems. It also requires a considerable amount of cultural knowledge: the shape of many man-made objects follow specific rules of symmetry or other generic types of layouts – often dependent on the geographic region. While early computer vision research tried to decipher some of these rules in order to hard-code them into hand-crafted systems, it is now consensus that such a high degree of understanding as we aspire to can realistically only be achieved via large-scale machine learning.
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