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NASA Model Identifies Thousands of Exoplanet Candidates
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8.7
NASA scientists released ExoMiner++, an improved AI model that analyzed TESS data and identified about 7,000 possible exoplanets in its initial run. Trained on both Kepler and TESS labeled data and described in a paper in the Astronomical Journal, the model is available publicly on GitHub. Public release aims to accelerate exoplanet discovery and support future missions like the Roman Space Telescope.
Scoring Rationale
Strong practical impact and peer-reviewed credibility, but the report provides limited methodological detail and initial candidate vetting.
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