Integrating Machine Learning Frameworks in Scientific Workflows - Piero Gasparotto
Machine Learning (ML) is revolutionizing the way scientists analyze and
model experimental data. In this talk, I will discuss the role of modern deep
learning frameworks in opening up new avenues for incorporating modern
ML and optimization techniques into established workflows or simply
accelerating traditional algorithms by rewriting them into concise, modular
code optimized for GPUs and TPUs. This transformation has the potential
to significantly advance the way in which scientists do research and drive
innovation.