Dozent: Bruno Gola <bgola@udk-berlin.de>, Alberto de Campo <decampo@udk-berlin.de>
When: every Wednesday, 10h-12h
Where: room 111 GRU

While the current Generative AI models bring promises that we can do anything, the extreme use of resources and expensive computing makes us depend on access to GPUs, huge datasets, cloud computing and big tech infra-structure. In this seminar we will look at other forms of machine learning and AI that don't necessarily rely on such powerful computing, by focusing on working with small, curated and personal datasets and exploring these methods with our own small data, we will seek a hands-on approach to machine learning,  creating new instruments and possibilities for realtime interaction and performance.