Learning Theory and Computational Microscopy - IPAM at UCLA

Explore the intersection of learning theory and computational microscopy in this 1-hour 13-minute lecture presented by Peter Binev from the University of South Carolina. Delivered on September 15, 2022, as part of IPAM's Computational Microscopy Tutorials at UCLA, delve into advanced concepts that bridge theoretical learning frameworks with practical applications in microscopy. Gain insights into how computational techniques are revolutionizing microscopic imaging and analysis. Discover the latest developments in this interdisciplinary field, combining mathematical principles with cutting-edge microscopy technologies. Ideal for researchers, students, and professionals interested in the convergence of machine learning and microscopy techniques.