Whether it is our ability to detect a wide range of colors or to remember a face we haven’t seen for years, the human brain is impressively adept at interpreting, encoding, and remembering visual data. It is not, however, especially adept at remembering strings of arbitrary numbers—the very patterns that identify so much of contemporary life, from credit cards to bank account numbers. This talk discusses an alternative approach that transforms symbolic information into visual representations that are easy-to-use, universal and error-correcting.
Bio: Brent Heeringa is Associate Professor and Chair of Computer Science at Williams College. His research focuses on approximation algorithms and data structures. He enjoys gardening, squash, and indie rock.