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A research team from NASA and the SETI Institute have successfully trained a deep learning framework to map biosignatures in a three-square-kilometer area of Chile’s Atacama Desert. The AI reduced the area the team needed to search and increased the likelihood of finding living organisms in one of the driest places on the planet. The team was led by senior research scientist Kimberley Warren-Rhodes, who combined her background in statistical ecology with AI to help mission scientists.
