High School Student Wins $250,000 Science Prize for AI Algorithm That Identifies 1.5 Million Potential Astronomical Objects
By
mhb
Crisp on the outside, thoughtful on the inside. A keeper.
Summary
An 18-year-old high school student, Matteo Paz, won the $250,000 top prize in the Regeneron Science Talent Search for developing an AI algorithm that discovered approximately 1.5 million potential new astronomical objects by analyzing understudied data from NASA's retired NEOWISE telescope. His machine learning model identified previously overlooked objects in infrared data, including brown dwarfs and distant galaxies, demonstrating how AI can accelerate astronomical discoveries and make scientific research more accessible to young researchers.
Key quotes
· 4 pulledThe 18-year-old won $250,000 for training a machine learning model to analyze understudied data from NASA's retired NEOWISE telescope
Matteo Paz with Caltech President Thomas F. Rosenbaum after winning the Regeneron Science Talent Search award
His machine learning model identified previously overlooked objects in infrared data, including brown dwarfs and distant galaxies
demonstrating how AI can accelerate astronomical discoveries and make scientific research more accessible to young researchers
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