{"version":1,"type":"story","url":"https://digestai.news/story/university-of-bern-ai-model-identifies-44-star-systems-that-could-host","json":"https://digestai.news/story/university-of-bern-ai-model-identifies-44-star-systems-that-could-host.json","markdown":"https://digestai.news/story/university-of-bern-ai-model-identifies-44-star-systems-that-could-host.md","slug":"university-of-bern-ai-model-identifies-44-star-systems-that-could-host","headline":"University of Bern AI model identifies 44 star systems that could host Earth-like planets","summary":"A team at the University of Bern and Switzerland’s National Centre of Competence in Research PlanetS built a machine‑learning model that scans known exoplanet systems for clues that an undiscovered Earth‑like world may be present. Using a random‑forest classifier trained on tens of thousands of synthetic planetary systems, the model achieved up to 99 % precision on simulated data.\n\nWhen applied to 1,567 observed systems with at least one measured planet, the algorithm flagged 51 candidates; after removing seven binary‑star cases, 44 systems remained as the proposed target list. A preliminary stability check found suitable orbital space in 42 of those systems. The researchers stress that the 99 % figure reflects tests on simulated data, not confirmed detections, and that real‑world observations will be needed to validate the predictions.\n\nThe work builds on earlier studies linking planetary architecture to the presence of temperate terrestrial planets. The authors note limitations in the synthetic model and detection filter, and suggest the list could help prioritize follow‑up searches for missions such as PLATO and the proposed LIFE interferometer.","keyPoints":["AI model trained on synthetic planetary systems reached 99 % precision on simulated data","Applied to real observations, it identified 44 star systems as potential hosts for Earth‑like planets","Stability analysis found orbital space for additional planets in 42 of the 44 systems"],"whyItMatters":"The approach shows how AI can narrow the vast search space for habitable worlds, guiding costly telescope time toward the most promising targets.","category":{"slug":"research","name":"Research","url":"https://digestai.news/category/research"},"entities":{"companies":[],"models":[],"people":["Jeanne Davoult","Romain Eltschinger","Yann Alibert"]},"firstPublishedAt":"2026-10-05T00:45:53Z","updatedAt":"2026-10-05T00:45:53Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"thebrighterside.news","title":"AI finds 44 star systems that could hide Earth-like planets","url":"http://thebrighterside.news/post/ai-finds-44-star-systems-that-could-hide-earth-like-planets","publishedAt":"2026-10-05T00:45:53Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[{"site":"Reddit","url":"https://www.reddit.com/r/artificial/comments/1wxv9n5/ai_finds_44_star_systems_that_could_hide/","points":null}],"thread":null,"cite":{"text":"Digest AI, \"University of Bern AI model identifies 44 star systems that could host Earth-like planets\", 5 October 2026, https://digestai.news/story/university-of-bern-ai-model-identifies-44-star-systems-that-could-host","publisher":"Digest AI","title":"University of Bern AI model identifies 44 star systems that could host Earth-like planets","datePublished":"2026-10-05T00:45:53Z","url":"https://digestai.news/story/university-of-bern-ai-model-identifies-44-star-systems-that-could-host"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}