Mount Shasta hikers who used Gemini AI for route planning ended up stranded overnight in a steep canyon after veering off the Clear Creek Route, authorities said.

Say More Mashable Selects Look Up Trending Now Good Connection: Uplifting stories for a digital age Creator Playbook Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Switch Off Mashable Voices Safety Net Versus Gift Ideas For Everyone On Your List All Series These hikers relied on tech and AI. They had to be rescued. Rebecca Ruiz is a Senior Reporter at Mashable. She frequently covers mental health, digital culture, and technology. Her areas of expertise include suicide prevention, screen use and mental health, parenting, youth well-being, and meditation and mindfulness.

Things to Do in L.A. Tap to enable a layout that focuses on the article. Lost in the algorithm: Hikers stranded on Mt. The Siskiyou County Sheriff's Office Search and Rescue Team assisted U.S. Forest Service climbing rangers on Mt. Shasta yesterday, when three novice hikers became stranded on the Clear Creek Route. This is read by an automated voice.

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A screengrab from video of the drone and AI assisted search and rescue at Dead Horse Gap in Kosciuszko national park. A screengrab from video of the drone and AI assisted search and rescue at Dead Horse Gap in Kosciuszko national park. Two hikers who veered off a walking track in Kosciuszko national park have been found within five hours using a drone powered by artificial intelligence, a first-of-its-kind mission, Fire and Rescue NSW (FRNSW) has said. The two men, aged in their 20s, were reported missing at 7pm on Tuesday evening after they failed to return to a rendezvous point on time. FRNSW's remote air piloted system was put into the air, and was able to use thermal imaging to find the hikers who had been walking the Dead Horse Gap track, about 35km south-west of Jindabyne.

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Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A missing hiker's dead body was finally found in July in Italy's rugged Piedmont region after 10 months. The recovery team credited the breakthrough to an AI-powered drone that spotted a critical clue within hours. The same process would have taken weeks or even months if done by the human eye.

How long does it take to identify the helmet of a hiker lost in a 183-hectare mountain area, analyzing 2,600 frames taken by a drone from approximately 50 meters away? If done with a human eye, weeks or months. If analyzed by an artificial intelligence system, one afternoon. The National Alpine and Speleological Rescue Corps, known by it's Italian initialism CNSAS, relied on AI to find the body of a person missing in Italy's Piedmont region on the north face of Monviso--the highest peak in the Cottian Alps--since September 2024. According to Saverio Isola, the CNSAS drone pilot who intervened along with his colleague Giorgio Viana, the operation--including searching for any sign of the missing hiker, the discovery and recovery of his body, and a stoppage due to bad weather--lasted less than three days.

It's 4 p.m. in Joshua Tree National Park and the air temperature is hovering around 99 degrees -- relatively mild for an August afternoon. But at ground level, the sand along the popular Hidden Valley Nature Trail has reached a scorching 136. "I don't want my bare feet on that," says ranger Anna Marini as she shows her thermometer gun reading to a couple visiting from Switzerland, who are appropriately awed. Marini uses the tool as a prop to engage hikers traversing this surreal desert wilderness that's roughly the size of Rhode Island. As the coordinator of the park's Preventative Search and Rescue Program, her mission is to protect visitors from hazards that include extreme heat, razor-sharp cacti and thirsty bees.

Ewers grew up skiing and hiking in the Highlands, giving him a clear idea of the complicated challenges involved in rescue operations there. "There wasn't much to do growing up, other than spending time outdoors or sitting in front of my computer," he says. "I ended up doing a lot of both." To start, Ewers took datasets 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 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.