
George D. Montañez is an assistant professor of computer science at Harvey Mudd College and earned his PhD in machine learning from Carnegie Mellon University on the topic of why machine learning works. George has worked on problems related to computational biology, spatio-temporal learning, cross-device search, and the information properties of genetic algorithms. His current research explores why machine learning works from a search and dependence perspective, and identifies information constraints on general search processes.
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The Turing Test, Artificial Intelligence, and Intelligent Design

Can Machines Think?

AI: Think About Ethics Before Trouble Arises
A machine learning specialist reflects on Micah 6:8 as a guide to developing ethics for the rapidly growing profession