In a new study, a group of NASA-affiliated researchers suggests we could train an AI to look for biosignatures on Mars — and thereby improve our chances of discovering life on the Red Planet and beyond.
"In the search for biosignatures on Mars, there is an abundance of data from orbiters and rovers to characterize global and regional habitability, but much less information is available at the scales and resolutions of microbial habitats and biosignatures," the researchers write in the study, which was published this week in the journal Nature Astronomy.
These machine-learning models could discover "recognizable and predictable patterns" that could point us in the right direction in our search for life on other planets.
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