AI Reveals Astrophysical Anomalies from Hubble’s Archive

Zack
AI in Astronomy Hubble Space Imaging
Credit: NASA, ESA, David O'Ryan (ESA), Pablo Gómez (ESA), Mahdi Zamani (ESA/Hubble)

Artificial intelligence has uncovered a remarkable set of previously unknown cosmic objects hidden within the Hubble Space Telescope’s archival data. Using an AI system developed by the European Space Agency, researchers scanned nearly 100 million image fragments, identifying rare galaxies, gravitational lenses, and other astrophysical anomalies that had gone unnoticed for decades.

This discovery highlights how AI-driven analysis is transforming space imaging and astronomical research. By reanalyzing legacy datasets with modern machine-learning tools, astronomers can rapidly surface new phenomena, unlocking fresh scientific value from historical observations and preparing for the massive data volumes of future space missions.

Source: https://science.nasa.gov/asset/hubble/astrophysical-anomalies-from-hubbles-archive/