A Swiss research team has created an AI model capable of identifying potentially habitable exoplanets, focusing on 44 star systems that may host Earth-like planets. Despite not confirming the existence of these planets, the findings encourage astronomers to explore these systems further. The model achieved a precision of 0.99 in simulations. Co-author Dr. Yann Alibert emphasized the model's unique capabilities that could facilitate significant advancements in the search for life in the universe, especially in the context of scarce data on exoplanets.
It's one of the few models worldwide with this level of complexity and depth, enabling predictive studies like ours," co-author Dr. Yann Alibert, codirector of the University of Bern's Centre for Space and Habitability, said in a statement, as quoted by Forbes. "This is a significant step in the search for planets with conditions favorable to life and, ultimately, for the search for life in the universe.
Exoplanets are notoriously difficult to spot, because they're tiny compared to stars and produce little light of their own.
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