Digital Twins: A Personalized Future of Computing for Complex Systems
Digital twins have the potential to enable safer and more efficient engineering systems, a greater understanding of the natural world around us, and better medical outcomes for all of us as individuals. Director of UT Austin's Oden Institute for Computational Engineering and Sciences, Karen Willcox, outlines the key role played by predictive models and data assimilation in creating digital twins, and how this technology can continue to change our world for the better.