Feature Extraction
A weekend program exploring the interconnection between art and machine learning.
Feature Extraction is a series of talks and workshops centered around machine learning, abstraction, and algorithmic subjectivity organized by Blaine O'Neill and Ulysses Pascal, graduate students in the UCLA Design Media Arts and Information Studies departments. Participants in the first Feature Extraction weekend will learn how certain machine learning models work, play with them in creative/critical ways, and contextualize them in social, cultural, and political frameworks. We will kick off the weekend Friday night at NAVEL in downtown LA with an evening panel discussion and social, followed by 1.5 days of workshops at the Broad Art Center EDA led by Gene Kogan and Lou Cantor.
This event is presented by the UCLA Department of Design Media Arts.
Event Dates: Nov. 15-17
Venue: Nov. 15 (night-time only), NAVEL (Downtown LA )
Nov. 16 & 17, Broad Art Center, EDA
Price: Registration is now closed
NAVEL is located at 1161 S. Hope St., Los Angeles CA, 90015.
Parking is available in the lot connected to the building, payable in cash only.
The Broad Art Center is located in the northeast corner of campus, off of Sunset Boulevard and Hilgard Avenue.
Parking is available in Lot 3.
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