
AI sifts TESS observations and helps validate more than 100 new exoplanets
Researchers using a machine-learning pipeline called RAVEN report more than 100 newly validated planets and over 2,000 vetted candidates from TESS data, highlighting how AI is reshaping the search for worlds beyond the太阳
- Researchers used the RAVEN machine-learning pipeline on TESS data covering more than 2 million stars.
- The study reports over 100 newly validated exoplanets and more than 2,000 vetted candidates.

















