Matt Guerry | The Daily Collegian Sep 28, 2016
Alayna Kennedy said she has long been drawn to the intersection of her fields of interest: biomedicine, engineering and computer sciences. When she was accepted into a research program on machine learning at the University of Colorado at Colorado Springs last summer, she had the chance to chase that fascination. “I wanted to do something in the realm of prosthetics, and working on bio-robotic and bio-animatronics,” Kennedy (junior – engineering sciences) said. Kennedy said this idea was too broad to explore in the two-month duration of the program. But, with the help of UCCS assistant professor Rory Lewis, she was able to focus her research on a topic with potential prosthetic aptitude: artificial neural networks. SEE original article here or see saved version as a pdf here.
Our paper, Machine Intelligence: The Neuroscience of Chordal Semantics & its Association with Emotion Constructs and Social Demographics, has been accepted for presentation at the 22nd International Symposium on Methodologies for Intelligent Systems. See conference here.
Abstract. We present an extension to knowledge discovery in Music Information Retrieval (MIR) databases and the emotional indices associated with i) various scalar theory, and ii) correlative behavioral demographics. Certain societal demographics are set in their ways as to how they dress, behave in society, solve problems and deal with anger and other emotional states. It is also well documented that particular musical scales evoke particular states of emotion and personalities of their own. This paper extends the work that Knowledge Discovery in Databases (KDD) and Rough Set Theory has opened in terms of mathematically linking music scalar theory to emotions. We now, extend the paradigm by associating emotions, based from music, to societal demographics and how strong these relationships to music are as to a ect, if at all, how one may dress, behave in society, solve problems and deal with anger and other emotional states
Artificial Intelligence. A broader class which includes Machine Learning. It’s a broad term referring to machines that can procure up solutions to problems on their own. Cannot reprogram itself. Uses Statistics.
Machine learning :: A machine's ability to predict events, know if those predictions were correct or not, and reprogram itself, without human intervention, to never make that same mistake again. Mimics humans by using Rough Set Theory, Fuzzy Logic and KDD.
The principal goals of this course are: 1) to learn the fundamentals of object-oriented programming, 2) to gain skill and proficiency in using the C++ programming language, 3) to exercise the C++ language in implementing a moderate sized software system designed with objects. Prer., CS 2060, CS 2080; Engineering majors only. Workload: I expect students to devote an average of 6-7 hours per week outside of class on work for this class. Some of that work will be in teams.
