Difference between revisions of "Neural aesthetics"

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* [http://art-ai.dmu.ac.uk/ Art-AI Festival], Phoenix Arts Centre & Highcross Leicester, Leicester, UK, 30 Apr-13 May 2018.
 
* [http://art-ai.dmu.ac.uk/ Art-AI Festival], Phoenix Arts Centre & Highcross Leicester, Leicester, UK, 30 Apr-13 May 2018.
 
* [http://www.eva-copenhagen.dk/ Politics of Machines – Art and After], 1st Electronic Visualisation & the Arts (EVA) conference, Aalborg University, Copenhagen, 15-17 May 2018. Chaired by Laura Beloff and Morten Søndergaard. Organised by Aalborg University (Aalborg, Copenhagen) and Dias: Digital Interactive Art Space (Copenhagen).
 
* [http://www.eva-copenhagen.dk/ Politics of Machines – Art and After], 1st Electronic Visualisation & the Arts (EVA) conference, Aalborg University, Copenhagen, 15-17 May 2018. Chaired by Laura Beloff and Morten Søndergaard. Organised by Aalborg University (Aalborg, Copenhagen) and Dias: Digital Interactive Art Space (Copenhagen).
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* [https://mur.at/project/im-netz-der-sinne/ Im Netz der Sinne] workshop, Kultur in Graz, Graz, 24-26 May 2018. Organised by mur.at.
 
* [http://elluba.com/machine-dreams-exhibition-at-cogx-2018/ Machine Dreams] exhibition, part of CogX 2018 conference, Tobacco Dock, London, 11-12 Jun 2018. Curated by Luba Elliott; commissioned by Tabitha Goldstaub. [https://www.forbes.com/sites/tabithagoldstaub/2018/09/24/machine-dreams-art-and-artificial-intelligence/ Artist interviews] (Forbes).
 
* [http://elluba.com/machine-dreams-exhibition-at-cogx-2018/ Machine Dreams] exhibition, part of CogX 2018 conference, Tobacco Dock, London, 11-12 Jun 2018. Curated by Luba Elliott; commissioned by Tabitha Goldstaub. [https://www.forbes.com/sites/tabithagoldstaub/2018/09/24/machine-dreams-art-and-artificial-intelligence/ Artist interviews] (Forbes).
 
* [https://www.facebook.com/events/130216531185870/ Art Assembly: Machine Learning], Fiber, Amsterdam, 22 Jun 2018. Organised by Fiber as part of the ''Coded Matter(s): Worldbuilding'' series.
 
* [https://www.facebook.com/events/130216531185870/ Art Assembly: Machine Learning], Fiber, Amsterdam, 22 Jun 2018. Organised by Fiber as part of the ''Coded Matter(s): Worldbuilding'' series.

Revision as of 15:05, 22 June 2019

Partial results of the "hello world" test of a machine learning algorithm, automated recognition of handwritten digits, showing 125 test cases that the network got wrong. Each case is labeled by the network’s guess. The true classes are arranged in standard scan order. Source: Hinton et al 2006.
Basic structure of a neural network. Several techno-logical forms can be identified in the concept: scansion, that is discretisation or digitisation since the age of radio, TV, etc.; feedback loop, or the basic concept of cybernetics; and network form, here inspired by biological neurons. Diagram by Matteo Pasquinelli with Lukas Rehm, 2017. Source.

A resource on recent work between art/design and artificial neural networks in machine learning.

Related notions: AI art, creative AI, art and artificial intelligence.

Events

2015

  • The Lab at the Google Cultural Institute, Paris, launches a 'machine learning for art' residency, early 2015 - mid-2016. Artists: Mario Klingemann, Cyril Diagne. Talk. Works.
  • DeepDream launched by Google's software engineers Alexander Mordvintsev, Christopher Olah and Mike Tyka, 17 Jun 2015. Reddit post from a day earlier. Vice coverage. Source code.
  • (Artifical Intelligence) Digitale Demenz exhibition, HMKV, Dortmund, 14 Nov 2015-6 Mar 2016. An exhibition exploring the relationship between contemporary art and artificial intelligence. Works by Erik Bünger, John Cale, Brendan Howell, Chris Marker, Julien Prévieux, Suzanne Treister, and !Mediengruppe Bitnik. Curated by Thibaut de Ruyter.

2016

2017

2018

2019

Artists, designers, writers, musicians, makers

Initiatives

Literature, data, resources

Arts practice and criticism

Online galleries and collections

See also exhibitions in the 'Events' section above.

Recent debates on artificial intelligence in the humanities and social sciences

Software

  • Tensorflow, an open source machine learning framework. Developed by the Google Brain team for internal Google use. Released under an open-source license on Nov 2015.
  • ml5.js, an open source machine learning library for the web. Launched Jun 2018.
  • Magenta Studio, a suite of free music-making tools using Magenta's machine learning models. Available as an Ableton plugin or as standalone Electron apps. Launched Nov 2018.
  • Runway, a toolkit that adds artificial intelligence capabilities to design and creative platforms. Built by Cristóbal Valenzuela. First alpha released May 2018.
  • GAN Playground - Explore Generative Adversarial Nets in your Browser, by Reiichiro Nakano, 2017.
  • Magenta demos

Datasets

See also

Courses and textbooks for artists

Textbooks
Video lectures
Introductions
MOOC
Resources

Research papers

Scientific introduction into deep learning

Historization of deep learning


Art and culture

Avant-garde and modernist magazines, Dance, Artists' publishing, Graphic design, Photography, Typewriter art, Multimedia environments, Design research, Video activism, Urban practices, Zine culture, Demoscene, VJing, Live cinema, Art and technology centres, Cyberfeminism, Art and activism, Community television, Hacktivism, Community servers, Hackerspaces, CD-ROM art, Circuit bending, Pure Data, Media archives, VVVV, Maker culture, Glitch art, Live coding, Locative media, Libre graphics, Electromagnetism, Surf clubs, DIY biology, Decolonial aesthetics, Post-digital, Neural aesthetics. Visual art, Contents, Index, About.

Software
communities of practice

Art and technology centres, Circuit bending, Community servers, Copyright activism, Data activism, Demoscene, Digital libraries, DIY biology, Federated networks, File sharing, Free software, Game art, Hacker culture, Hackerspaces, Hacktivism, Internet activism, Libre graphics, Live coding, Live video, Maker culture, Media archives, Net art, Neural aesthetics, Open hardware, Shadow libraries, Software art. Art and culture, Contents, Index, About.