The term describes the development of a model using special learning algorithms that draw on a large amount of training data. The ‘knowledge’ generated can be used for predictions or recommendations.
»Training the Archive« (2020–2023) is a research project that explores the possibilities and risks of AI in relation to the automated structuring of museum collection data to support curatorial practice and artistic production.
Collaborative Partner:
Digital Partner:
Funded by the Programme:
Funded by:
