Can machine learning make searching for ET on the Red Planet more efficient?
, the team’s new AI machine learning modeling is already showing potential to speed up humanity’s search for alien life.To build their AI, the interdisciplinary project led by SETI Institute Senior Research Scientist Kim Warren-Rhodes trained a program on datasets drawn from a region called Salar de Pajonales.
In a statement, Rhodes explained that, “Our framework allows us to combine the power of statistical ecology with machine learning to discover and predict the patterns and rules by which nature survives and distributes itself in the harshest landscapes on Earth.” They went on to express their hope that other astrobiologists will adapt the approach to mapping other environments, as well as to detect additional biosignatures.
Over time, the team hopes they and other astrobiologist groups can continue to build collaborative datasets that could aid in the
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