NASA's ExoMiner++ AI Scans TESS Data, Flags 7,000 Exoplanet Candidates

• NASA's AI, ExoMiner++, previously validated 370 exoplanets from Kepler data and is now analyzing TESS telescope data.
• In its initial run, ExoMiner++ flagged approximately 7,000 potential exoplanet candidates from TESS data, requiring further confirmation.
• The deep learning software analyzes light curves to detect faint dips caused by transiting planets, distinguishing them from false positives.
• ExoMiner++ uses machine learning trained on Kepler and TESS datasets, assigning confidence scores to identify genuine planets and reduce manual analysis.
• NASA plans to enhance ExoMiner++ for future missions like the Nancy Grace Roman Space Telescope and encourages global research through its open-source availability.

Why It Matters: NASA's ExoMiner++ AI is revolutionizing exoplanet discovery by rapidly identifying thousands of candidates from TESS data.