Researchers at the University of Washington decided to conduct an unusual experiment using deepfakes to create an imitation of a non-existent terrain on a map. To do this, the scientists uploaded satellite images of three cities – Seattle, Beijing and Tacoma into the machine learning system, after which the technology superimposed satellite images on real maps of these cities. Thanks to this, for example, you can see what a Seattle street might look like in Beijing. Naturally, the new technology has plenty of opportunities – you can “cross” areas that are completely different in architecture and geolocation, getting fake maps of the area, which in fact does not exist.
Presenting this opportunity, scientists from the United States immediately stated that the technology is suitable not only for designing deepfake maps, but also for creating images of an area that simply does not have satellite images, as well as for creating modern maps based on information from antiquity. However, the presented technology also has a reverse side of the coin – the ability to distort satellite images casts doubt on the reliability of these images, which until now have been the standard of reliability.
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