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Artificial Intelligence: Principles and Methods Making Human-Level Performance Possible
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Thursday, September 21, 2017
4:00 PM - 5:00 PM
(ET)
Kimball Tower - Room 125
South Campus
Artificial Intelligence (AI) researchers now predict that computers will be able to perform tasks that were once considered the prerogative of human beings. They include tasks such as translating languages, writing high school essays, driving trucks, working in retail and even writing a best-selling book or work as a surgeon. Although some of these predictions are predicted to happen over several decades, what are the current principles and algorithms of AI that allow researchers to make such bold predictions? In this talk I will discuss the current generation of AI methods, how they differ from previous generation methods. In particular, algorithms, which are based on probabilistic graphical models and computational architectures consisting of a hierarchy of concepts, known as deep learning.
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Additional Info
Speaker Name and Affiliation:
Sargur Srihari, PhD; SUNY Distinguished Professor, Computer Science & Engineering, University at Buffalo
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