A Return to Machine Learning — Kyle McDonald
Channel: BocoupLLC
Date: 2016-05-13

OpenVis Conf
April 25th-26th, 2016
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"A Return to Machine Learning" — Kyle McDonald

Abstract: 
Every artist has a responsibility to engage with and respond to their cultural climate. Right now, the effect of massive data collection, and automated systems that filter and respond to this data, is felt on a daily basis. In this talk, Kyle will present a number of studies and experiments covering the field of machine learning that he has produced in an effort to familiarize himself with these systems. From Deep Dream animations to t-SNE for audio sample exploration, recurrent neural net emoji to autoencoder-based synthetic writing systems, he’ll focus on the process behind discovering and exploring different tools and techniques.

About our Speaker:

Kyle McDonald is an artist who works in the open with code. He is a contributor to arts-engineering toolkits like openFrameworks, and spends a significant amount of time building tools that allow artists to use new algorithms in creative ways. His work is very process-oriented, and he has made a habit of sharing ideas and projects in public before they're completed. He enjoys creatively subverting networked communication and computation, exploring glitch and embedded biases, and extending these concepts to reversal of everything from personal identity to work habits. Kyle is an adjunct professor at NYU's ITP, and was formerly a member of F.A.T. Lab, and community manager for openFrameworks.

More about Kyle: http://kylemcdonald.net/