AI Enhances First-Ever Close-Up Image of Supermassive Black Hole
The iconic image of the M87 black hole has been enhanced using a machine learning technique called PRIMO, providing a more accurate representation and allowing for improved determinations of its mass and physical parameters. PRIMO, which stands for principal-component interferometric modeling, was developed by EHT members and relies on dictionary learning, a branch of machine learning which enables computers to generate rules based on large sets of training material. The team confirmed that the newly rendered image is consistent with the EHT data and with theoretical expectations, including the bright ring of emission expected to be produced by hot gas falling into the black hole.