AI Method Classifies Galaxies Using JWST Data and Contrastive Learning

This research explores a novel application of AI, specifically contrastive learning, for astronomical image analysis. The study's focus on JWST data suggests a potential for significant advancements in galaxy classification capabilities.

• •Applies dual-encoding contrastive learning for galaxy morphological classification.
• •Uses data from the James Webb Space Telescope (JWST).
• •Employs multi-clustering voting for robust classification.