Talk: Art and Machine Learning

Presentation given for the December meeting of Danbury AI.

Art has always been cherished as the most expressive and human production. The idea that a computer, a logical machine, can create the most quintessential human objects is preposterous to some. As anyone that has engaged in the artistic process will tell you, a lot of art is based on emotion, not logical rules. In this talk we will discuss the connectivist history leading to convolutional networks and their application in style transfer. I hope that the topics herein demonstrate to you that machine learning is a dramatic departure from rule based computing and that it does mimic intelligent behavior.



About the Author: Andrew Ribeiro

I am a computer scientist working in the field of Artificial Intelligence as the co-founder of Knowledge-Exploration Systems -- a Danbury based AI and systems development contractor. I studied traditional computer science at WCSU and extended my knowledge to include AI by taking online courses, reading the classic books, and reading research papers in the field while applying the ideas to commercial R&D applications. Due to the intensive intellectual demands of mastering such a diverse field, I also co-founded Danbury AI in 2016 to foster a local community of AI experts and enthusiasts that help each other grow and learn.

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