The Digital Press

A California high school student, Matteo Paz, used AI to analyze decade-old NASA data and discovered over 1.5 million previously unknown variable space objects. His work, now published in The Astronomical Journal, highlights the power of machine learning in big data astronomy.

Why it matters: Paz's discovery vastly expands the known catalog of cosmic variable objects, aiding future astronomical research.

The big picture: This breakthrough showcases how AI applied to massive datasets can reveal hidden phenomena missed by traditional methods.

The stakes: Uncovering these objects opens new opportunities for studying star life cycles and cosmic events with next-gen telescopes.

Commenters say: Many applaud the student's ingenuity and potential, emphasizing the value of AI in science and the importance of supporting young talent.