Data-Driven Cosmology by Jia Liu

Explore data-driven approaches in cosmology through this comprehensive lecture by Jia Liu from the International Centre for Theoretical Sciences. Delve into advanced statistical methods and machine learning techniques applied to high energy physics research. Learn how these tools are revolutionizing the analysis of massive datasets from experiments like the Large Hadron Collider, aiming to uncover new physics beyond the Standard Model. Gain insights into the future of cosmology research, where machine learning plays a crucial role in processing petabytes of data to precisely measure Higgs boson properties and search for hints of new phenomena. Understand the importance of deep learning and artificial intelligence in modern cosmological studies and their potential to drive groundbreaking discoveries in our understanding of the universe.