Cosmology with Graph Neural Networks
Offered By: ICTP-SAIFR via YouTube
Course Description
Overview
Explore cutting-edge applications of graph neural networks in cosmology through this insightful lecture by Natali de Santi from USP São Carlos. Delve into the intersection of machine learning and astrophysics as part of the ICTP-SAIFR São Paulo Research Group meetings in Astro & Cosmo. Learn how graph neural networks are revolutionizing our understanding of the universe and advancing cosmological research. Gain valuable insights into the latest methodologies and techniques used to analyze complex cosmic structures and phenomena. Suitable for researchers, students, and enthusiasts in astrophysics, cosmology, and data science fields.
Syllabus
Natali de Santi: Cosmology with graph neural networks
Taught by
ICTP-SAIFR
Related Courses
Introduction to AstronomyDuke University via Coursera Galaxies and Cosmology
California Institute of Technology via Coursera Confronting The Big Questions: Highlights of Modern Astronomy
University of Rochester via Coursera From the Big Bang to Dark Energy
University of Tokyo via Coursera Philosophy and the Sciences: Introduction to the Philosophy of Physical Sciences
University of Edinburgh via Coursera