Neural aesthetics

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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[edit]

2015[edit]

  • 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[edit]

2017[edit]

2018[edit]

Artists, designers, writers, musicians, makers[edit]

Initiatives[edit]

Literature, data, resources[edit]

Art practice and criticism[edit]

Online galleries and collections[edit]

See also exhibitions in the 'Events' section above.

Recent debates on artificial intelligence in the humanities and social sciences[edit]

Software[edit]

  • 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[edit]

Courses and textbooks for artists[edit]

Textbooks
Video lectures
Introductions
MOOC
Resources

Research papers[edit]

Scientific introduction into deep learning[edit]

Historization of deep learning[edit]


Artists' cultures
or, sets of techniques and practices bringing together communities of artists, makers and writers

Avant-garde and modernist magazines, Artists' publishing, Graphic design, Photography, Typewriter art, Multimedia environments, Design research, Video activism, Urban practices, Zine culture, Demoscene, VJing, Live cinema, Media labs, Cyberfeminism, Community television, Hacktivism, Art 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, Post-digital, Neural aesthetics.
See also Art styles and movements.

Software
movements and cultures

Art servers, Circuit bending, Copyright activism, Cypherpunk, Data activism, Demoscene, Digital libraries, DIY biology, File sharing, FLOSS, Game art, Hacker culture, Hackerspaces, Hacktivism, Internet activism, Internet of things, Libre graphics, Live coding, Maker culture, Media archives, Media labs, Net art, Neural aesthetics, Open hardware, Software art, VJing, VVVV.
See also Artists' cultures.