ExoMiner++ Identifies 7,000 TESS Planet Candidates

NASA Ames researchers released ExoMiner++, an open-source AI model trained on Kepler and TESS data, and in an initial run identified about 7,000 TESS exoplanet candidates, the team reports in the Astronomical Journal. The GitHub-available tool automates transit vetting to prioritize follow-up observations and could be applied to future NASA datasets, including the Nancy Grace Roman Space Telescope.
Scoring Rationale
Strong open-source model and official publication; scope limited to exoplanet detection rather than broader ML applications.
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