An international team of researchers has shown that this tool is capable of identifying hidden patterns in geographic data that could indicate signs of life.. foto/ afp
However, the history of life on Mars is a big question mark to date. Artificial intelligence and machine learning could make the search for life on Mars much easier.
An international research team has shown that this tool is capable of identifying hidden patterns in geographic data that could indicate the presence of life.
Astrobiologist Kimberley Warren-Rhodes hopes that more scientists will adapt this approach in the future because it has the potential to find signs of life even in hidden places.
“With this model, we can design tailor-made roadmaps and algorithms to guide explorers to places with the highest probability of harboring past or present life,” said Warren-Rhodes, quoted from Science Alert, Thursday (23/3). /2023).
Warren-Rhodes and his colleagues had focused their attention on the Salar de Pajonales, the Atacama desert region in Chile. This basin is an ancient river bed and one of the best places on Earth to closely resemble a Martian environment.
The region has low oxygen levels and is very dry and salty. But strangely researchers can find life there, living in mineral formations.
The Warren-Rhodes-led research team also took aerial images to simulate images from satellites orbiting Mars and add a 3D topographic map.
