AI Technology Transforms NASA Archival Data
Student Maps 1.5 Million Space Objects With AI
Matteo Paz, 18, used the VARnet algorithm to find unknown quasars and supernovae in NASA archives.
An 18-year-old student analyzes a complex celestial map on a laptop screen, representing the 1.5 million space objects he discovered using an AI algorithm.
Photo: Avantgarde News
18-year-old Matteo Paz identified 1.5 million new celestial objects using a machine-learning algorithm called VARnet [1]. The American student analyzed archival data from NASA's retired NEOWISE mission to map these objects [2]. His discoveries include various distant quasars and supernovae [1][2]. NASA leadership formally praised the student’s work on March 2, 2026 [1]. Scientists expressed astonishment at the scale of the mapping project [1]. This achievement demonstrates the potential of AI to process massive space datasets [2].
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Avantgarde News Desk covers ai technology transforms nasa archival data and editorial analysis for Avantgarde News.