Resumen:

In this presentation, I will discuss recent advances at the intersection of astronomy, cosmology, and artificial intelligence, with the goal of extracting valuable insights from the cosmic web. These advances have the promise of enhancing our understanding of galaxy evolution and refining our knowledge of cosmological parameters. I will start by showing how we observe, measure, and characterize the cosmic web, highlighting their significance in the study of galaxy formation and cosmology. As an illustrative example, I will showcase the Dark Energy Spectroscopic Instrument (DESI), a Stage-IV spectroscopic survey currently constructing the most comprehensive 3D map of the universe. To conclude, I will introduce Graph Machine Learning as a potential tool for extending our comprehension of 3D galaxy maps, enabling deeper exploration of galaxy evolution and cosmology.