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Link: AI-directed drones could help find lost hikers faster

To start, Ewers took data sets of search-and-rescue cases from around the world, which include details such as an individual’s age, whether they were hunting, horseback riding, or hiking, and if they suffered from dementia, along with information about the location where the person was eventually found—by water, buildings, open ground, trees, or roads. He trained an AI model with this data, in addition to geographical data from Scotland. The model runs millions of simulations to reveal the routes a missing person would be most likely to take under the specific circumstances. The result is a probability distribution—a heat map of sorts—indicating the priority search areas. With this kind of probability map, the team showed that deep learning could be used to design more efficient search paths for drones. #


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