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Annotated Bibliography

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Annotated Bibliography
The Limitations of Artificial Intelligence as a Superset of Machine Learning
For my capstone project, I am interested in researching machine learning as it relates to artificial intelligence. Machine learning is a computing paradigm that is prevalent in the field of software engineering. Machine learning is broad, and its applications are manifold, but, put simply, machine learning allows for a computer to predict events based on “training data” and make insights about data. Thus, a computer can learn. The way in which the paradigm does this is not standardized, and many distinct algorithms can solve a “machine learning” problem. In addition to familiarizing myself with the many facets of the topic of machine learning, …show more content…

While digital computers are good at arithmetic, they struggle with pattern recognition and the filtering of sensory input whereas the human brain excels. To remedy this, a new paradigm known as a Super-Turing machine aspires to emulate a human brain with a neural network. This proposed device is radically different than the classical model of a computer, for it is an analog model which combats the imprecision of the traditional digital model.

Rennie, J. (2011, March 06). How IBM's Watson Computer Excels at Jeopardy!. Retrieved from http://blogs.plos.org/retort/2011/02/14/how-ibm%E2%80%99s-watson-computer-will-excel-at-jeopardy/
This article details a significant development in machine learning. IBM Watson, a cognitive system, beats the leading human jeopardy player in a game of jeopardy. The prowess of IBM Watson indicates the power of machine learning and suggests an even bolder future for the platform. While impressive, IBM Watson is not perfect, for it does give incorrect answers. This faultiness is indicative of the need for further development of machine learning to achieve what is seen in movies.

Wong, W. (2012). What’s the Difference Between Machine Learning Techniques? Machine Learning is a hot topic, but what does this subset of artificial intelligence really mean?. Electronic Design, 65(6), 33-39. Retrieved from

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