Lecture and workshop by Anil Bawa-Cavia
From Deep Dream to FaceApp, Prisma to AlphaGo, deep learning has burst into the cultural sphere in the last two years. Anil Bawa-Cavia’s talk will provide an overview of its development as a specific set of techniques in machine learning, demystifying its capacities and exploring its impact and potential in the realm of art production.
Proceeding through a series of case studies taken from contemporary art and computer science research, the talk will look beyond the surface aesthetics of deep learning, to the questions it raises about agency, knowledge, and power.
Anil Bawa-Cavia is a computer scientist with a background in machine learning. He runs a speculative software studio, STDIO. His practice engages with algorithms, protocols, encodings, and other software artefacts. Website: www.cavvia.net
Lecture: 30.05.2017, 19:00 ZKM, Vortragssaal
Workshop: 31.05.2017, 10:00-13:00 HfG, Room 112
Both workshop and lecture are open to the public and part of Prof. Pasquinelli’s course The Symbolic Forms of Neural Computations at HfG. In case you’d like to participate in the workshop please register with Lukas Rehm via PM or mail lrehm[at]hfg-karlsruhe.de
Staatliche Hochschule für Gestaltung Karlsruhe
Lorenzstraße 15, Karlsruhe
Recommended readings in preparation:
The Dark Secret at the Heart of AI
Inceptionism / Going Deeper into Neural Networks