Computing the Future: Digital encounters in art and science when da Vinci meets Turing
Conference paper
Giannini, T. and Bowen, J.P. (2020). Computing the Future: Digital encounters in art and science when da Vinci meets Turing. EVA London 2020. London 06 - 06 Jul 2020 BCS Learning & Development. https://doi.org/10.14236/ewic/eva2020.3
Authors | Giannini, T. and Bowen, J.P. |
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Type | Conference paper |
Abstract | Computing the future, as life and research moves to the Internet, we are engaged increasingly in digital encounters from present to past and into the future with real people, events and documents. This paper focuses on the newly born-digital relationship between Alan Turing, father of computer science, and Leonardo da Vinci, master of Renaissance art and science – both revered as visionary geniuses, prophets of the future. Given the continued growth of digitised materials that are daily entering global consciousness, it is only relatively recently that both da Vinci’s notebooks and paintings, and Turing’s archive, are online and searchable. Thus we are able for the first time to relatively easily juxtapose and compare their work, and see that they have much in common in terms of what it means to human in science, art and the natural world, from da Vinci’s in-depth studies of the mechanisms of the human body, mind, and soul, foundational to his art, and to Turing’s discoveries in Artificial Intelligence (AI), machine learning, and morphogenesis. Considering their points of concurrence in the digital world brings into focus our global network of digital places and spaces, where science, art, and nature, including real and artificial life, become unbounded. |
Year | 2020 |
Publisher | BCS Learning & Development |
Digital Object Identifier (DOI) | https://doi.org/10.14236/ewic/eva2020.3 |
Publisher's version | License File Access Level Open |
Publication dates | |
06 Jul 2020 | |
Publication process dates | |
Accepted | 06 Jun 2020 |
Deposited | 03 Mar 2021 |
Web address (URL) of conference proceedings | https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2020.3 |
https://openresearch.lsbu.ac.uk/item/8w3vx
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