Researchers in Switzerland have repurposed an AI model to uncover where all those elusive, potentially habitable worlds are hiding. As detailed in a new study published in the journal Astronomy and & Astrophysics, the machine learning algorithm has identified 44 star systems that it suspects harbor Earth-like exoplanets we haven't detected yet. In simulations, the model achieved an impressive precision value of up to 0.99, meaning that 99 percent of the systems identified have at least one Earth-like planet. With its application on real star systems, it hasn't outright confirmed that the Earth-like planets are actually there — but it's […]