High School Student Discovers 1.5 Million Potential New Astronomical Objects by Developing an A.I. Algorithm
The 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.
California Institute of Technology
In a leap forward for astronomy, a researcher has developed an artificial intelligence algorithm and discovered more than one million objects in space by parsing through understudied data from a NASA telescope.
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