Hasty Briefsbeta

  • #Space Discovery
  • #Astronomy
  • #Artificial Intelligence
  • A high school student from California, Matteo Paz, used AI to identify over 1.5 million previously unknown space objects from NASA's NEOWISE mission data.
  • Paz developed an AI model in six weeks that detected faint, variable light sources, revealing objects like quasars, eclipsing binary stars, and supernovae.
  • The AI utilized Fourier transforms and wavelet analysis to identify subtle infrared variations, uncovering slow transients and cataclysmic variables.
  • Paz's findings, peer-reviewed and published in The Astronomical Journal, will be fully cataloged in 2025, aiding future observations by telescopes like Vera Rubin and JWST.
  • Still in high school, Paz is now a paid research assistant at Caltech's IPAC, mentoring others and expanding his AI pipeline for interdisciplinary applications.