Teenager’s AI Uncovers 1.5 Million Cosmic Objects

A California high school student identified 1.5 million hidden cosmic phenomena using artificial intelligence ^[1]. The student built a machine learning pipeline to scan archived NASA data ^[1]. This system found objects such as quasars and supernovae that were previously invisible to researchers ^[1]. The Astronomical Journal published the findings in a peer-reviewed paper ^[1]. This discovery demonstrates how advanced computing helps young researchers analyze deep space imagery ^[1]. The new pipeline allows for faster identification of rare celestial events ^[1].