A weekend program exploring the interconnection between art and machine learning.
November 15, 2019 (night-time only) – Navel – Downtown LA
November 16-17, 2019 – EDA (Broad Art Center 1250), UCLA
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, grad students in the 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 EDA led by Gene Kogan and Lou Cantor.