Towards Augmented Poetics of Electronic Art
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| Year of publication | 2019 |
| Type | Appeared in Conference without Proceedings |
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| Citation | |
| Description | The paper is structured as a report comprising of conceptual background information and the introduction of an initial hypothesis for the research project Media Art Live Archive, MALA, supported by the Technology Agency of the Czech Republic. The goal of the project is to experimentally test the utility of artificial neural networks in service of media art historiography and theory. Artificial neural networks will conduct iconographic and audiographic analyses of the Woody and Steina Vasulka video archive. We suppose that the application of deep learning technology in the studies of the archive content could serve not only for data mining purposes but, more importantly, it can become a creative means for rethinking the poetics of early electronic art. The results of the project which we are striving for can be called augmented poetics of electronic art. |
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