AI restores James Webb telescope’s crystal-clear vision

Two PhD students from Sydney developed groundbreaking software that restored crystal-clear vision to NASA's James Webb Space Telescope without requiring costly astronaut repairs. Their system, called AMIGO, uses neural networks to correct electronic distortions affecting the telescope's Australian-designed Aperture Masking Interferometer, which had been causing image blurriness. The software solution successfully eliminated the "brighter-fatter effect" where electric charge spreads between pixels, fully restoring the instrument's precision and enabling unprecedented detailed images of exoplanets and celestial objects.