Difference between revisions of "Neural aesthetics"

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====2021====
 
====2021====
 +
 
* [http://www.meetfactory.cz/cs/program/detail/ai-all-idiots AI: All Idiots], MeetFactory, Prague, 15 Sep - 5 Dec 2021. Curated by ScreenSaverGallery (Barbora Trnková, Tomáš Javůrek, Marie Meixnerová). Review: [https://artalk.cz/2021/11/01/jak-moc-umela-je-umela-inteligence/ Mrázková] (Artalk).
 
* [http://www.meetfactory.cz/cs/program/detail/ai-all-idiots AI: All Idiots], MeetFactory, Prague, 15 Sep - 5 Dec 2021. Curated by ScreenSaverGallery (Barbora Trnková, Tomáš Javůrek, Marie Meixnerová). Review: [https://artalk.cz/2021/11/01/jak-moc-umela-je-umela-inteligence/ Mrázková] (Artalk).
 +
 
* [https://www.oxy.edu/events/2021/09/encoding-futures-critical-imaginaries-ai Encoding Futures: Critical Imaginaries of AI], exhibition, Oxy Arts, 16 Sep-19 Nov 2021. Curated by Mashinka Firunts Hakopian and Meldia Yesayan.
 
* [https://www.oxy.edu/events/2021/09/encoding-futures-critical-imaginaries-ai Encoding Futures: Critical Imaginaries of AI], exhibition, Oxy Arts, 16 Sep-19 Nov 2021. Curated by Mashinka Firunts Hakopian and Meldia Yesayan.
 +
 +
* [https://epfl-pavilions.ch/exhibitions/deep-fakes-art-and-its-double Deep Fakes: Art and Its Double], exhibition, EPFL Pavilions, Lausanne, 17 Sep 2021-1 May 2022. Curated by Sarah Kenderdine. [https://epfl-pavilions.ch/media/pages/exhibitions/deep-fakes-art-and-its-double/f2d10a353c-1632134706/deep-fakes-guide-eng_final.pdf Exh. guide].
 +
 
* [https://www.dhmd.de/en/exhibitions/artificial-intelligence/ Artificial Intelligence: Machine Learning Human Dreams], exhibition, Deutsches Hygiene-Museum, Dresden, 6 Nov 2021-28 Aug 2022. Curated by Yasemin Keskintepe with Thomas Ramge.
 
* [https://www.dhmd.de/en/exhibitions/artificial-intelligence/ Artificial Intelligence: Machine Learning Human Dreams], exhibition, Deutsches Hygiene-Museum, Dresden, 6 Nov 2021-28 Aug 2022. Curated by Yasemin Keskintepe with Thomas Ramge.
* [https://www.vasulkakitchen.org/en/curating-online-cultural-heritage-creativity-and-the-summer-of-artificial-intelligence Curating Online: Cultural Heritage, Creativity and the Summer of Artificial Intelligence], symposium, online, 7 Dec 2021. Organised by TIM FF MU, TIC Gallery Brno, Vasulka Kitchen Brno, and Brno House of Arts.  
+
 
 +
* [https://www.vasulkakitchen.org/en/curating-online-cultural-heritage-creativity-and-the-summer-of-artificial-intelligence Curating Online: Cultural Heritage, Creativity and the Summer of Artificial Intelligence], symposium, online, 7 Dec 2021. Organised by TIM FF MU, TIC Gallery Brno, Vasulka Kitchen Brno, and Brno House of Arts.
 +
 
 +
====2022====
 +
* [https://necs.org/conference/program-2022/online-lecture-series-2022/ Machine Visions: The Impact of AI on Contemporary Visual Culture and Artistic Practices], NECS Online Lecture Series, 8 Feb-24 May 2022.
 
</div>
 
</div>
  
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* [http://sfpc.io/ School for Poetic Computation], founded 2013 in New York. [https://twitter.com/sfpc @sfpc].
 
* [http://sfpc.io/ School for Poetic Computation], founded 2013 in New York. [https://twitter.com/sfpc @sfpc].
 
* [http://schoolofma.org/ School of Machines, Making & Make-Believe], founded March 2014 in Berlin by Rachel Uwa.
 
* [http://schoolofma.org/ School of Machines, Making & Make-Believe], founded March 2014 in Berlin by Rachel Uwa.
* [http://www.fastforwardlabs.com/ Fast Forward Labs], a machine intelligence research company, New York.
+
* [https://blog.fastforwardlabs.com/ Fast Forward Labs], a machine intelligence research company, New York. Founded by Hilary Mason in ca. June 2014. [http://web.archive.org/web/20180203021936/www.fastforwardlabs.com/]
 
* [https://medium.com/artists-and-machine-intelligence Artists and Machine Intelligence] (AMI). A program at Google that brings together artists and engineers to realize projects using Machine Intelligence. [https://ami.withgoogle.com/]
 
* [https://medium.com/artists-and-machine-intelligence Artists and Machine Intelligence] (AMI). A program at Google that brings together artists and engineers to realize projects using Machine Intelligence. [https://ami.withgoogle.com/]
 +
* [https://openai.com/ OpenAI], AI research and deployment company, San Francisco. Founded in December 2015 by Elon Musk, Sam Altman, et al. Products include [https://openai.com/dall-e-2/ DALL·E 2], [https://openai.com/blog/openai-codex/ OpenAI Codex] (a descendant of GPT-3), [https://openai.com/api/ API access to GPT-3].
 
* [http://magenta.tensorflow.org Magenta], a Google Brain project dedicated to generating art and music using machine learning. Started in June 2016. [http://research.google.com/pubs/author39086.html]
 
* [http://magenta.tensorflow.org Magenta], a Google Brain project dedicated to generating art and music using machine learning. Started in June 2016. [http://research.google.com/pubs/author39086.html]
 
* [https://sites.google.com/site/digihumanlab/home Art and Artificial Intelligence Laboratory], Rutgers University, New Brunswick, NJ. Founding director: Ahmed Elgammal.
 
* [https://sites.google.com/site/digihumanlab/home Art and Artificial Intelligence Laboratory], Rutgers University, New Brunswick, NJ. Founding director: Ahmed Elgammal.
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* [https://blog.mozilla.org/blog/2018/06/04/mozilla-announces-225000-for-art-and-advocacy-exploring-artificial-intelligence/ Mozilla Award for Art and Advocacy Exploring Artificial Intelligence], 2018.
 
* [https://blog.mozilla.org/blog/2018/06/04/mozilla-announces-225000-for-art-and-advocacy-exploring-artificial-intelligence/ Mozilla Award for Art and Advocacy Exploring Artificial Intelligence], 2018.
 
* [https://www.ainarratives.com Global AI Narratives Project], Leverhulme Centre for the Future of Intelligence (University of Cambridge), since 2018.
 
* [https://www.ainarratives.com Global AI Narratives Project], Leverhulme Centre for the Future of Intelligence (University of Cambridge), since 2018.
 +
* [https://allmodels.ai/ All Models], international mailing list of critical AI studies, initiated in July 2020. Hosted by the research group KIM at the Karlsruhe University of Arts and Design.
 
* [https://creative-ai.org/ Creative AI Lab (Database)], an ongoing project to aggregate tools and resources for artists, engineers, curators & researchers interested in incorporating machine learning and other forms of artificial intelligence into their practice. A collaboration between Serpentine R&D Platform (Eva Jäger) and the Department of Digital Humanities, King’s College London (Mercedes Bunz a.o.). Launched July 2020. [https://www.serpentinegalleries.org/whats-on/creative-ai-lab/]
 
* [https://creative-ai.org/ Creative AI Lab (Database)], an ongoing project to aggregate tools and resources for artists, engineers, curators & researchers interested in incorporating machine learning and other forms of artificial intelligence into their practice. A collaboration between Serpentine R&D Platform (Eva Jäger) and the Department of Digital Humanities, King’s College London (Mercedes Bunz a.o.). Launched July 2020. [https://www.serpentinegalleries.org/whats-on/creative-ai-lab/]
 +
* [https://polytopal.ai Polytopal], a 'Human-Centered AI' research and development company, started July 2020.
 
* [https://v2.hotglue.me/ Slow Readers], an informal research group which has embraced deceleration to look at gender inequality & AI, with [[V2|V2_Fellow]] [[Renée Turner]], a.o. Started in January 2021. [https://v2.nl/archive/organizations/slow-readers]
 
* [https://v2.hotglue.me/ Slow Readers], an informal research group which has embraced deceleration to look at gender inequality & AI, with [[V2|V2_Fellow]] [[Renée Turner]], a.o. Started in January 2021. [https://v2.nl/archive/organizations/slow-readers]
* [https://polytopal.ai Polytopal], a 'Human-Centered AI' research and development company, started July 2020.
 
  
 
==Literature, data, resources==
 
==Literature, data, resources==
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* Mercedes Bunz, Eva Jäger (eds.), ''[https://serpentine-uploads.s3.amazonaws.com/uploads/2020/09/001_Aesthetics-of-New-AI.pdf Aesthetics of New AI]'', London, Oct 2020, 55 pp. Reader.
 
* Mercedes Bunz, Eva Jäger (eds.), ''[https://serpentine-uploads.s3.amazonaws.com/uploads/2020/09/001_Aesthetics-of-New-AI.pdf Aesthetics of New AI]'', London, Oct 2020, 55 pp. Reader.
 +
 +
* Angie Keefer (ed.), ''[https://www.librarystack.org/version-space/ Version Space]'', Library Stack, 2020-2022. A series of pamphlets transcribing conversations among artists and graduate students in visual art regarding Artificial Intelligence and related topics.
  
 
* K Allado-McDowell, ''Pharmako-AI'', intro. Irenosen Okojie, Ignota, 2020, 152 pp. [https://ignota.org/products/atlas-of-anomalous-ai]
 
* K Allado-McDowell, ''Pharmako-AI'', intro. Irenosen Okojie, Ignota, 2020, 152 pp. [https://ignota.org/products/atlas-of-anomalous-ai]
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* Sofian Audry, ''[https://book4you.org/book/18214642/38cb93 Art in the Age of Machine Learning]'', forew. Yoshua Bengio, MIT Press (Leonardo), Nov 2021, 214 pp.  
 
* Sofian Audry, ''[https://book4you.org/book/18214642/38cb93 Art in the Age of Machine Learning]'', forew. Yoshua Bengio, MIT Press (Leonardo), Nov 2021, 214 pp.  
 +
 +
* [https://link.springer.com/journal/146/volumes-and-issues/36-4 ''AI & Society'' 36(4): "Ways of Machine Seeing"], eds. Mitra Azar, Geoff Cox, and Leonardo Impett, Dec 2021, pp 1093-1312.
 +
 +
* Ethan Plaue, William Morgan, GPT-3, [https://www.e-flux.com/journal/123/437472/ "Secrets and Machines: A Conversation with GPT-3"], ''e-flux'' 123, Dec 2021.
 +
 +
* Ilan Manouach, Anna Engelhardt (eds.), ''Chimeras: Inventory of Synthetic Cognition'', Athens: Onassis Foundation, 2022, 536 pp. With contributions from 150 researchers and artists. [https://www.onassis.org/culture/publications/chimeras-inventory-of-synthetic-cognition] [https://xenogothic.com/2022/04/19/chimeras-inventory-of-synthetic-cognition/]
  
 
* ''Art and Machine Learning'', Graz: mur.at, forthcoming. [https://mur.at/post/ml-call-for-papers/ CfP]. [https://mur.at/project/im-netz-der-sinne/]
 
* ''Art and Machine Learning'', Graz: mur.at, forthcoming. [https://mur.at/post/ml-call-for-papers/ CfP]. [https://mur.at/project/im-netz-der-sinne/]
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* Michael J. Lyons, [https://arxiv.org/abs/2107.13998 "''Excavating AI'' Re-excavated: Debunking a Fallacious Account of the JAFFE Dataset"], ''arXiv.org'', Jul 2021.  
 
* Michael J. Lyons, [https://arxiv.org/abs/2107.13998 "''Excavating AI'' Re-excavated: Debunking a Fallacious Account of the JAFFE Dataset"], ''arXiv.org'', Jul 2021.  
 +
 +
* Frederike Kaltheuner (ed.), ''[[Media:Kaltheuner_Frederike_ed_Fake_AI_2021.pdf|Fake AI]]'', Manchester: Meatspace Press, Dec 2021, 206 pp. [https://fakeaibook.com/ Book website]. [https://meatspacepress.com/#post-371 Publisher].
 +
 +
* Karen Hao, et al., [https://www.technologyreview.com/supertopic/ai-colonialism-supertopic "AI Colonialism"], ''MIT Technology Review'', Apr 2022. Article series.
  
 
* Ramon Amaro, ''The Black Technical Object: On Machine Learning and the Aspiration of Black Being'', Berlin: Sternberg Press, forthcoming May 2022, 152 pp. [https://www.sternberg-press.com/product/the-black-technical-object/] [https://mitpress.mit.edu/books/black-technical-object]
 
* Ramon Amaro, ''The Black Technical Object: On Machine Learning and the Aspiration of Black Being'', Berlin: Sternberg Press, forthcoming May 2022, 152 pp. [https://www.sternberg-press.com/product/the-black-technical-object/] [https://mitpress.mit.edu/books/black-technical-object]
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* Jürgen Schmidhuber, [http://www.sciencedirect.com/science/article/pii/S0893608014002135 "Deep Learning in Neural Networks: An Overview"], ''ScienceDirect'' 61, Jan 2015, pp 85-117. [http://www.idsia.ch/~juergen/deep-learning-overview.html]
 
* Jürgen Schmidhuber, [http://www.sciencedirect.com/science/article/pii/S0893608014002135 "Deep Learning in Neural Networks: An Overview"], ''ScienceDirect'' 61, Jan 2015, pp 85-117. [http://www.idsia.ch/~juergen/deep-learning-overview.html]
 +
 
* Yann LeCun, Yoshua Bengio, Geoffrey Hinton, [http://sci-hub.se/10.1038/nature14539 "Deep Learning"], ''Nature'' 521, 28 May 2015, pp 436-444. Critiqued by [http://people.idsia.ch/~juergen/deep-learning-conspiracy.html Schmidhuber] recasting the recent advances of deep learning as building on top of prior work with multilayer neural networks, going back decades.
 
* Yann LeCun, Yoshua Bengio, Geoffrey Hinton, [http://sci-hub.se/10.1038/nature14539 "Deep Learning"], ''Nature'' 521, 28 May 2015, pp 436-444. Critiqued by [http://people.idsia.ch/~juergen/deep-learning-conspiracy.html Schmidhuber] recasting the recent advances of deep learning as building on top of prior work with multilayer neural networks, going back decades.
 +
 
* Andrey Kurenkov, [http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning/ "A 'Brief' History of Neural Nets and Deep Learning"], [http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning-part-2 Part 2], [http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning-part-3/ Part 3], [http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning-part-4 Part 4], ''Andrey Kurenkov'' blog, 24 Dec 2015.
 
* Andrey Kurenkov, [http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning/ "A 'Brief' History of Neural Nets and Deep Learning"], [http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning-part-2 Part 2], [http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning-part-3/ Part 3], [http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning-part-4 Part 4], ''Andrey Kurenkov'' blog, 24 Dec 2015.
 +
 
* Stephanie Dick, [https://hdsr.mitpress.mit.edu/pub/0aytgrau "Artificial Intelligence"], ''Harvard Data Science Review'' 1, 23 Jun 2019.
 
* Stephanie Dick, [https://hdsr.mitpress.mit.edu/pub/0aytgrau "Artificial Intelligence"], ''Harvard Data Science Review'' 1, 23 Jun 2019.
 +
 +
* Justin Joque, ''[https://1lib.cz/book/18733315/f1ce49 Revolutionary Mathematics: Artificial Intelligence, Statistics, and the Logic of Capitalism]'', London: Verso, Jan 2022, 240 pp. [https://www.versobooks.com/books/3897-revolutionary-mathematics Publisher].
  
  

Latest revision as of 10:27, 21 May 2022

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]

2014[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]

2019[edit]

2020[edit]

2021[edit]

  • AI: All Idiots, MeetFactory, Prague, 15 Sep - 5 Dec 2021. Curated by ScreenSaverGallery (Barbora Trnková, Tomáš Javůrek, Marie Meixnerová). Review: Mrázková (Artalk).

2022[edit]

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

Initiatives[edit]

  • School for Poetic Computation, founded 2013 in New York. @sfpc.
  • School of Machines, Making & Make-Believe, founded March 2014 in Berlin by Rachel Uwa.
  • Fast Forward Labs, a machine intelligence research company, New York. Founded by Hilary Mason in ca. June 2014. [6]
  • Artists and Machine Intelligence (AMI). A program at Google that brings together artists and engineers to realize projects using Machine Intelligence. [7]
  • OpenAI, AI research and deployment company, San Francisco. Founded in December 2015 by Elon Musk, Sam Altman, et al. Products include DALL·E 2, OpenAI Codex (a descendant of GPT-3), API access to GPT-3.
  • Magenta, a Google Brain project dedicated to generating art and music using machine learning. Started in June 2016. [8]
  • Art and Artificial Intelligence Laboratory, Rutgers University, New Brunswick, NJ. Founding director: Ahmed Elgammal.
  • Creative AI meetup group, since September 2016. Founded by Luba Elliott.
  • Feminist.AI, a community AI research and design group focused on critical making as a response to hegemonic AI, est. 2016.
  • AI Now Institute, New York University. A research institute examining the social implications of artificial intelligence. Founded in 2017 by Kate Crawford and Meredith Whittaker.
  • Artificial imagination / Artificielle postdigital, a research seminar on contemporary art and artificial intelligence, Ecole Normale Superieure, Paris. Founded in 2017 by Béatrice Joyeux-Prunel and Grégory Chatonsky. Twitter.
  • AI Art Gallery, a collection of art, music and design using machine learning, since 2017. Curated by Luba Elliott.
  • Mozilla Award for Art and Advocacy Exploring Artificial Intelligence, 2018.
  • Global AI Narratives Project, Leverhulme Centre for the Future of Intelligence (University of Cambridge), since 2018.
  • All Models, international mailing list of critical AI studies, initiated in July 2020. Hosted by the research group KIM at the Karlsruhe University of Arts and Design.
  • Creative AI Lab (Database), an ongoing project to aggregate tools and resources for artists, engineers, curators & researchers interested in incorporating machine learning and other forms of artificial intelligence into their practice. A collaboration between Serpentine R&D Platform (Eva Jäger) and the Department of Digital Humanities, King’s College London (Mercedes Bunz a.o.). Launched July 2020. [9]
  • Polytopal, a 'Human-Centered AI' research and development company, started July 2020.
  • Slow Readers, an informal research group which has embraced deceleration to look at gender inequality & AI, with V2_Fellow Renée Turner, a.o. Started in January 2021. [10]

Literature, data, resources[edit]

Arts practice and criticism[edit]

  • Melpomene, Bagabone, Hem ‘I Die Now, New York: Vantage Press, 1980, 136 pp. Perhaps the first novel that was purportedly written by a computer.
  • Digimag 76: "Smart Machines for Enhanced Arts", eds. Silvia Bertolotti and Marco Mancuso, Milan: Digicult, Summer 2017, 74 pp, EPUB. Texts by Memo Akten, Claire Burke, Geoffrey Drake-Brockman, Jerry Galle, Eugene Kogan, Robert B. Lisek, Filippo Lorenzin, Andreas Refsgaard, Liu Yuxi, Alessandro Masserdotti. [12]
  • Algolit, Data Workers, Brussels: Constant, Mar 2019. (English)/(French)
  • Entangled Realities: Living with Artificial Intelligence / Leben mit künstlicher Intelligenz, eds. Sabine Himmelsbach and Boris Magrini, Merian, 2019, 229 pp. Catalogue. Exhibition. Review: Cianciotta (Neural). (English)/(German)
  • Espace 124: "IA, art sans artistes? / AI, art without artists?", Montreal, Jan 2020. Special issue of magazine. Introduction. TOC. (French)/(English)
  • Angie Keefer (ed.), Version Space, Library Stack, 2020-2022. A series of pamphlets transcribing conversations among artists and graduate students in visual art regarding Artificial Intelligence and related topics.
  • K Allado-McDowell, Pharmako-AI, intro. Irenosen Okojie, Ignota, 2020, 152 pp. [18]
  • Ben Vickers, K Allado-McDowell (eds.), Atlas of Anomalous AI, forew. Bill Sherman, Ignota, 2020, 303 pp. [19]
  • Ilan Manouach, Anna Engelhardt (eds.), Chimeras: Inventory of Synthetic Cognition, Athens: Onassis Foundation, 2022, 536 pp. With contributions from 150 researchers and artists. [20] [21]
  • Art and Machine Learning, Graz: mur.at, forthcoming. CfP. [22]

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]

  • Florian Hecker, Robin Mackay, "On Sound and Artificial Neural Networks", in Writing and Unwriting (Media) Art History: Erkki Kurenniemi in 2048, eds. Joasia Krysa and Jussi Parikka, MIT Press, Sep 2015, pp 279-289.
  • Clemens Apprich, Wendy Hui Kyong Chun, Florian Cramer, Hito Steyerl, Pattern Discrimination, Lüneburg: meson press, with University of Minnesota Press, Nov 2018, xii+123 pp.
  • Lev Manovich, AI Aesthetics, Moscow: Strelka Press, Dec 2018, 57 pp. Excerpt. [27] [28] [29]
    • Estetika umetne inteligence, trans. Tamara M. Soban, afterw. Vuk Ćosić, Ljubljana: Mestni muzej Ljubljane, and Zavod Basic, 2019, 79 pp. (Slovenian)
  • Katerina Cizek, William Uricchio, Sarah Wolozin, "Media Co-Creation with Non-Human Systems", in Cizek, Uricchio, et al., Collective Wisdom: Co-Creating Media within Communities, across Disciplines and with Algorithms, 3 Jun 2019.
  • Gabriele de Seta, "China.ai", in Realtime: Making Digital China, eds. Clément Renaud, Florence Graezer Bideau, and Marc Laperrouza, PURR, Jan 2020, pp 154-169. Book. Book launch.
  • Yarden Katz, Artificial Whiteness: Politics and Ideology in Artificial Intelligence, Columbia University Press, Nov 2020, 352 pp. Publisher.
  • Karen Hao, et al., "AI Colonialism", MIT Technology Review, Apr 2022. Article series.
  • Ramon Amaro, The Black Technical Object: On Machine Learning and the Aspiration of Black Being, Berlin: Sternberg Press, forthcoming May 2022, 152 pp. [35] [36]
more

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]

See also

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]

  • Yann LeCun, Yoshua Bengio, Geoffrey Hinton, "Deep Learning", Nature 521, 28 May 2015, pp 436-444. Critiqued by Schmidhuber recasting the recent advances of deep learning as building on top of prior work with multilayer neural networks, going back decades.


Art and Culture

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, Art and technology centres, 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
communities of practice

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