What Humans Do that Machines Cannot
What Humans Do that Machines Cannot
Part 4 of the 2018 UA College of Science Lecture Series
Featuring Luis von Ahn, Professor of Computer Science, Carnegie Mellon University
This talk is about harnessing human time and energy to address problems that computers cannot yet solve. Although computers have advanced dramatically in many respects over the last 50 years, they still do not possess the basic conceptual intelligence or perceptual capabilities that most humans take for granted. By leveraging human skills and abilities in a novel way, I want to solve large-scale computational problems and collect training data to teach computers many of the basic human talents. To this end, I treat human brains as processors in a distributed system, each performing a small part of a massive computation.
