<i>machinesMemory</i>: Malleability of AI technique, the data generated by machine learning algorithms

machinesMemory explores the aesthetics of AI technology and its medium malleability. By the way of artistic practice, the author would like to focus on what AI technique is, rather than what it can do. This paper reviews the definition ‘intelligent agents’ to outline the basis of how machine learning algorithms will be used in this paper. This paper then introduces the making progress of machinesMemory and presents individual evaluations.

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Author and article information

Contributors

Dongyuan Liu

Conference

Publication date: July 2021

Publication date (Print): July 2021

Pages: 186-190

Affiliations

[0001]Goldsmiths, University of London

8 Lewisham Way, New Cross, London SE14 6NW, UK

Article

DOI: 10.14236/ewic/EVA2021.31

SO-VID: f8ddd237-df19-4b5f-ada8-e729bb9e23fc

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of EVA London 2021

Conference acronym: EVA 2021

Conference number:

Conference location: London

Conference date: 5th July – 9th July 2021

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: AI and the Arts: Artificial Imagination

History

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1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2021.31

Self URI (journal page): https://ewic.bcs.org/

REFERENCES

T. Blackwellet al. (2012) ‘Live Algorithms: Towards Autonomous Computer Improvisers’. Computers and Creativity, edited by Jon McCormack and Mark d’Inverno, Springer Berlin Heidelberg.
Boden (2004) Margaret A. The Creative Mind: Myths and Mechanisms. Routledge.
Sougwen Chung. Sougwen Chung (愫君) – Works by Sougwen. https://sougwen.com/ (retrieved 6 June 2020).
P. Davidsson (1992) Concept Acquisition by Autonomous Agents: Cognitive Modeling versus the Engineering Approach. Lund University Cognitive Studies 12, Lund University, Sweden. (PDF) Concepts and Autonomous Agents. Available from: https://www.researchgate.net/publication/2910327_Concepts_and_Autonomous_Agents
L. Evers, and F. Nack (2016) ‘Data Aesthetics: The Ethics and Aesthetics of Big Data Gathering Seen from the Artists Eye’. Proceedings of the 2016 ACM on Multimedia Conference – MM ’16, ACM Press, 2016, pp.779–80.
Getting your Raspberry Pi ready for openFrameworks. https://openframeworks.cc/setup/raspberrypi/raspberry-pi-getting-started/ (retrieved 15 August 2020).
B. Klicek (2010) ‘Intelligent agents. International Encyclopedia of Hospitality Management, edited by Abraham Pizam, Routledge, 2nd edition.
M. Klingemann (2018) ‘AI and Neurography’, Interalia Magazine. https://www.interaliamag.org/interviews/mario-klingemann/ (retrieved 14 July 2020).
M. Klingemann (2020) ‘Mario Klingemann, Artist Working with Code, AI and Data’. Quasimondo, http://quasimondo.com/ (retrieved 6 June 2020).
G. Kogan (2020) genekogan.com , https://genekogan.com/ (retrieved 6 June 2020).
L. Manovich (2002) The Language of New Media. 1st MIT Press Paperback ed., MIT Press.
L. Manovich (2012) ‘How to Compare One Million Images?’ In David Berry, ed., Understanding Digital Humanities.
L. Manovich (2018) AI Aesthetics, 2018. http://www.manovich.net.
PyData (2020) ‘Keynote: The Neural Aesthetic – Gene Kogan’. PyData, YouTube, https://www.youtube.com/watch?v=XPqClTbl3RE. (retrieved 15 March 2020).
StyleGan (2020) StyleGan Github. https://github.com/NVlabs/stylegan (retrieved 12 August 2020).

Comments

Comment on this article

[1] T. Blackwellet al. (2012) ‘Live Algorithms: Towards Autonomous Computer Improvisers’. Computers and Creativity, edited by Jon McCormack and Mark d’Inverno, Springer Berlin Heidelberg.

[2] Boden (2004) Margaret A. The Creative Mind: Myths and Mechanisms. Routledge.

[3] Sougwen Chung. Sougwen Chung (愫君) – Works by Sougwen. https://sougwen.com/ (retrieved 6 June 2020).

[4] P. Davidsson (1992) Concept Acquisition by Autonomous Agents: Cognitive Modeling versus the Engineering Approach. Lund University Cognitive Studies 12, Lund University, Sweden. (PDF) Concepts and Autonomous Agents. Available from: https://www.researchgate.net/publication/2910327_Concepts_and_Autonomous_Agents

[5] L. Evers, and F. Nack (2016) ‘Data Aesthetics: The Ethics and Aesthetics of Big Data Gathering Seen from the Artists Eye’. Proceedings of the 2016 ACM on Multimedia Conference – MM ’16, ACM Press, 2016, pp.779–80.

[6] Getting your Raspberry Pi ready for openFrameworks. https://openframeworks.cc/setup/raspberrypi/raspberry-pi-getting-started/ (retrieved 15 August 2020).

[7] B. Klicek (2010) ‘Intelligent agents. International Encyclopedia of Hospitality Management, edited by Abraham Pizam, Routledge, 2nd edition.

[8] M. Klingemann (2018) ‘AI and Neurography’, Interalia Magazine. https://www.interaliamag.org/interviews/mario-klingemann/ (retrieved 14 July 2020).

[9] M. Klingemann (2020) ‘Mario Klingemann, Artist Working with Code, AI and Data’. Quasimondo, http://quasimondo.com/ (retrieved 6 June 2020).

[10] G. Kogan (2020) genekogan.com , https://genekogan.com/ (retrieved 6 June 2020).

[11] L. Manovich (2002) The Language of New Media. 1st MIT Press Paperback ed., MIT Press.

[12] L. Manovich (2012) ‘How to Compare One Million Images?’ In David Berry, ed., Understanding Digital Humanities.

[13] L. Manovich (2018) AI Aesthetics, 2018. http://www.manovich.net.

[14] PyData (2020) ‘Keynote: The Neural Aesthetic – Gene Kogan’. PyData, YouTube, https://www.youtube.com/watch?v=XPqClTbl3RE. (retrieved 15 March 2020).

[15] StyleGan (2020) StyleGan Github. https://github.com/NVlabs/stylegan (retrieved 12 August 2020).

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machinesMemory: Malleability of AI technique, the data generated by machine learning algorithms