Explore the first lecture of the "From biomolecular prediction to design, the impact of machine learning in biological physics" series delivered by Professor Faruck Morcos from the University of Texas at Dallas during the ICTP-SAIFR School and Workshop on the Physics of Life (March 24-30, 2025). This 1-hour and 25-minute session introduces fundamental concepts at the intersection of machine learning and biological physics, examining how computational approaches are transforming our ability to predict and design biomolecular structures and functions. Learn about cutting-edge methodologies that bridge theoretical physics with practical applications in biological systems. Part of a comprehensive workshop organized by the International Centre for Theoretical Physics - South American Institute for Fundamental Research (ICTP-SAIFR).
From Biomolecular Prediction to Design: The Impact of Machine Learning in Biological Physics - Class 1
ICTP-SAIFR via YouTube
Overview
Syllabus
Faruck Morcos: From biomolecular prediction to design, the impact of machine learning in.. - Class 1
Taught by
ICTP-SAIFR
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