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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:

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 Computation at HfG. In case you'd like to participate in the workshop please register with Lukas Rehm via PM or mail

Die Veranstaltung findet in englischer Sprache statt.

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