Humans, Data, and Machines: Problem Solving with Algorithms

Part 1 of the 2018 UA College of Science Lecture Series
Featuring Stephen Kobourov, Professor of Computer Science, University of Arizona

The idea of computation and algorithms is old, but modern day computers are a relatively new phenomenon. Even more recent are the notions of artificial intelligence (AI), machine learning (ML) and big data. While it is difficult to clearly define AI and ML it is evident that progress in these fields, combined with access to large datasets, has a significant impact on all aspects of our lives. This raises new mathematical and engineering challenges – can we solve previously unsolvable problems? It also asks philosophical questions – can machines think? It also forces us to consider ethics and law – can machines be more objective than humans?

[MrBiedas]

Thanks Arizona Public Media for sharing that great lecture.

[funphoenixscience]

Great talk. Looking forward to the rest of the series!