According to research that was published in the journal PNAS on 25th September, scientists have developed an artificial intelligence model that can identify alien beings. The algorithm can 90% of the time distinguish between samples with and without biological origin. It is trained with the use of living cells, fossils, meteorites and lab-made chemicals.
Study co-lead author Robert Hazen, an astrobiologist at the Carnegie Institution for Science in Washington, D.C., stated that since humans do not know whether alien life uses DNA or amino acids, this method is useful for looking for patterns in molecular distributions that arise from life's demand for 'functional' molecules."
Al does not search for particulars; instead, he searches for differences across samples. As a result, a lifeform from the planet or another biosphere may be discovered. If evidence is discovered, scientists may then compare the newly discovered life to Earthly life to determine whether they have similar or distinct ancestries.
Currently, scientists are attempting to determine if the objects they discover have a biological origin or were produced by a chance effect of space chemistry. The scientists adopted a technique that was already in use on NASA satellites. Scientists created the AI system with this application, and although the exact operation of the machine is still unclear, it will be very useful for future astrobiology missions.
Written by: Deren Uzun
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