Explore the evolution and applications of machine learning in cosmological research through this 56-minute research presentation delivered at the São Paulo Research Group meetings in Astro & Cosmo at ICTP-SAIFR. Join IF-USP researcher Daniel Lopez-Cano as he examines the historical development, current implementations, and future potential of machine learning techniques in understanding the cosmos, offering valuable insights into how these computational methods are revolutionizing our approach to cosmological studies and astronomical data analysis.
Overview
Syllabus
Daniel Lopez-Cano: Machine Learning Applications in Cosmology: Past, Present, and Future
Taught by
ICTP-SAIFR
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