Stemming from ADAPT’s long standing experience and innovation in digital media, visualisation and machine learning research, ADAPT have collaborated with artist Jeanette Doyle of Dublin Institute of Technology at the Irish research pavilion at the Venice Biennale 2017. ADAPT funded Investigator Professor John Kelleher, and ADAPT Design and Innovation team members Killian McCabe, Joris Vreeke and Declan McKibben developed an application to deliver the ambitious exhibition ‘Cf’.
‘Cf’ challenges the approach to access to and curation of art at the Biennale in the tradition of Lucy Lippard’s Dematerialization theory and Lyotard’s philosophy as outlined in ‘The Inhuman: Reflections on Time’. Professor John Kelleher developed a machine algorithm that selected work from the available candidate pieces of digital art, while trying to control for human bias, this defined the sequence in which artist’s works are displayed. Keeping within the realm of dematerialization, each piece was projected instead of physical. The ADAPT dLab team developed and visualised a neural language model based AI, seeded with a location derived metric, the population of Venice to define the order in which art works were displayed.
The ADAPT contribution to ‘Cf’ was designed and built by DLAB’s Joris Vreeke and Killian McCabe with the algorithm design by prof. John Kelleher and the development and integration of the algorithm by Killian McCabe.
The event took place in Giudecca, Venice on 30th September and 1st October. As addtion to the contribution to ‘Cf’, Prof. Kelleher presented a seminar on the deep learning approach for the project and specifically addressing the inherent bias in machine learning.
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@DCUFSH @DCUSNPCH @Joe_Quinn_Davra @Ceic_DCU @AdaptCentre @subhashishhh delighted to receive this award today on behalf of the team