Is applicable as soon as the source code for a software is available and can thus be viewed, changed and used (free of charge) by the public. In some cases, licences of use must be observed. »Training the Archive« wants to publish as much code as possible, e.g. on GitHub.
Is an American online service for managing software development projects and has been part of Microsoft since 2018. The service is based on Git, which is used for file management. »Training the Archive« also manages a so-called repository.
Discusses the use of computer-based methods and digital object resources in an interdisciplinary manner and reflects on their application and impact in the humanities and cultural studies.
Lecture at the online workshop of the Institute of Art History of the Ruhr-Universität Bochum on 28.06.2021. Registration is possible by email to: virtuelle-kunst@ruhr-uni-bochum.de and is still possible until 27.06.21.
Describes a digital archive by means of a directory for storing and describing digital objects. For example, »Training the Archive« manages a repository on GitHub as a freely accessible source of code for the first prototype.
Robotics as a subject and the robot as an entity deal with the unification of an interaction with the physical world through sensors, actuators as well as information processing and a technically feasible kinetics. In this context, AI is often mistakenly illustrated or symbolised by means of humanoid robots.
Also called metainformation, describes structured data containing information on characteristics of other data to define properties of objects (e.g. medium of an artwork).
The publication format reflects the current state of work and discussion within the research group, makes new knowledge available and also transfers it to the outside world.
Procedure of instantiating a fully trained ANN from Keras or TensorFlow in order to pass compiled image data through it as input. The characteristics learned on one problem are applied to a new, similar problem. This is advantageous to research because the models have already trained a fundamental ‘understanding’ about the human world in terms of the general structure and content of images and this knowledge does not need to be taught from scratch.
»import TensorFlow as tf.« A framework to be applied to machine learning in order to have computational operations performed by the ANN. Keras, for example, is an integral part of the TF-API.
»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.
