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nea-tre-batteri-per-il-restauro-delle-opere-di-michelangelo www.youtube.com/watch?v=ZUwN8zREn-8 Il Guggenheim Museum continua oggi a essere un museo trainante per le lo studio delle tecniche conservative di opere time-based media art (TBMA) e computer-based art nel suo Media Conservation Lab. Iniziativa per la conservazione dell’arte basata su computer.Nel 2013 ha lanciato la Conserving Computer-Based Art Initiative (CCBA ). “Il team di ricerca del CCBA continua a esplorare nuove opere d’arte e nuovi metodi di trattamento e documentazione e continua a diffondere i suoi risultati attraverso pubblicazioni e presentazioni”. www.guggenheim.org/conservation/the-conserving-computer-based-art-initiative www.guggenheim.org/conservation/the-variable-media-initiative www.guggenheim.org/conservation/the-variable-media-initiative mattersinmediaart.org Douglas Davis ha iniziato questo lavoro nel 1994 presso la Galleria d’arte del Lehman College. www.nytimes.com/2013/06/10/arts/design/whitney-saves-douglas-daviss-first-collaborative-sentence.html www.nytimes.com/2013/06/10/arts/design/whitney-saves-douglas-daviss-first-collaborative-sentence.html?ref=todayspaper
Bibliografia “Arte: dall’archivio ENEA tre batteri per il restauro delle opere di Michelangelo”, 10/06/2021. www.enea.it/it/Stampa/news/arte-da-archivio-enea-tre-batteri-per-il-restauro-delle-opere-di-michelangelo G. Buzzanca, “L’arte contemporanea nell’era digitale. Storie di un corpo in sparizione”, in Kermes, 2015. L. Caramel, Arte in Italia 1945-1960, Vita e Pensiero, Milano 1994. V. Catricalà, D. Quaranta (a cura di), Sopravvivenza programmata. Etiche e pratiche di conservazione. Dall’arte cinetica alla Net Art, Edizioni KappaBit, Roma 2020. O. Chiantore, A. Rava, Conservare l’arte contemporanea. Problemi, metodi, materiali, ricerche, Mondadori Electa Editore, Milano 2005.
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P. Christiane, A Companion to Digital Art, John Wiley & Sons, Chichester 2016. Conservaciónde Arte Contemporáneo 21a Jornada – www.museoreinasofia.es/sites/default/files/ publicaciones/conservacion_de_arte_contemporaneo_21_a_jornada.pdf M. Foti, (2018), “Una panoramica delle strategie di conservazione di opere d’arte digitale”, Umanistica Digitale, 2(3). doi.org/10.6092/issn.25328816/8209 Guggenheim Museum, “The Conserving Computer-Based Art Initiative.” www.guggenheim. org/conservation/the-conserving-computer-based-art-initiative#dissemination. Guggenheim Museum, “Time-based Media”, www. guggenheim.org/conservation/time-based-media. ICOOM, Annual Report 2019 – icom.museum/ wp-content/uploads/2020/07/2573_ICOMRA-2019_V14_web_planches.pdf International Network for the Conservation of Contemporary Art, www.incca.org/ Museo Nacional Centro de arte Reina Sofía, departamento de conservación-restauración NYU The Institute of Fine Arts, www.nyu.edu/gsas/ dept/fineart/conservation/time-based-media. htm “Preserving Digital Art: the Innovation Adoption Lifecycle”, museum-id.com/preserving-digital-art-the-innovation-adoption-lifecycle/ B. Serexhe, Preservation of Digital Art: Theory and Practice: The Digital Art Conservation Project, Ambra, Vienna 2013. Smithsonian, “Time-Based Media Working Group”, www.si.edu/tbma/ “When Artworks Crash: Restorers Face Digital Test”, June 9, 2013, www.nytimes.com/2013/06/10/ arts/design/whitney-saves-douglas-daviss-first-collaborative-sentence.html www.guggenheim.org mattersinmediaart.org americanart.si.edu/ quasimondo.com/ coleccionsolo.com www.iiconservation.org www.icom-italia.org/ icom.museum/en/ www.moma.org
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coleccionsolo.com M. Klingemann, «Memories of Passersby I», in A. Barale, a cura di, Arte e Intelligenza artificiale. Be my GAN, Jaca Book, Milano 2020, p. 75. www.museoreinasofia.es/sites/default/files/publicaciones/conservacion_de_arte_contemporaneo_21_a_jornada.pdf p.98 www.museoreinasofia.es/sites/default/files/publicaciones/conservacion_de_arte_contemporaneo_21_a_jornada.pdf p. 100 Time-based Media Art. www.museoreinasofia.es/sites/default/files/publicaciones/conservacion_de_arte_contemporaneo_21_a_jornada.pdf p.104. www.museoreinasofia.es/sites/default/files/publicaciones/conservacion_de_arte_contemporaneo_21_a_jornada.pdf icom.museum/wp-content/uploads/2020/07/2573_ICOM-RA-2019_V14_ web_planches.pdf
PARTE SECONDA AI artists 1
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Molti altri artisti – oltre ai 13 che qui trovate – si sono distinti negli ultimi anni per la loro produzione artistica con IA: Scott Eaton, David Young, Egon Kraft e Quayola per citarne alcuni. https://www.artnome.com/news/2018/11/14/ helena-sarin-why-bigger-isnt-always-better-with-gans-and-ai-art http://elluba.com
La creatività nell’arte e il ruolo dell’artista 1
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www.christies.com/lot/lot-edmond-de-belamy-from-la-famille-de-6166184/?from=searchresults&intObjectID=6166184 Obvious, «La Famille de Belamy e i Sogni elettrici di Ukiyo: reinterpretazioni e accelerazioni», in A.
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Barale, a cura di, Arte e Intelligenza artificiale. Be my GAN, Jaca Book, Milano 2020, p. 167. www.christies.com/features/A-collaboration-between-two-artists-one-human-one-a-machine-9332-1.aspx?sc_lang=en w w w. y o u t u b e . c o m / w a t c h ? v = Z 6 r x F N MGdn0 I.J. Goodfellow, J Pouget-Abadie., M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, Y. Bengio (2014). “Generative Adversarial Networks” – arxiv.org/pdf/1406.2661v1.pdf foreignpolicy.com/2019-global-thinkers/ hyperallergic.com/468060/christies-sells-ai-generated-art-for-432500-as-controversy-swirls-over-creators-use-of-copied-code/ www.sothebys.com/en/auctions/ecatalogue/2019/contemporary-art-day-auction-l19021/ lot.109.html Artificial General Intelligence. Si veda l’intervista completa nel capitolo “Mario Klingemann”. “Lettres & Art, Cubistes”, Le cri de Paris, 23 July 1916, p. 10, A20, No. 1008, Gallica, Bibliothèque nationale de France – gallica.bnf.fr/ark:/12148/ bpt6k65218498/f1.image
Bibliografia A. Barale, Arte e Intelligenza Artificiale, Jaca Book, Milano 2020. M.A. Boden, L’Intelligenza Artificiale, Il Mulino, Bologna 2019. M. A. Boden, Artificial Intelligence. A very short Introduction, Oxford University Press, Oxford 2018. A. Broeckmann, The Machine as Artist as Myth, Leuphana University, Lüneburg 2019. D. Foster, Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play, O’Reilly 2019. I.J. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, Y. Bengio (2014). “Generative Adversarial Networks” – https://arxiv.org/pdf/1406.2661v1.pdf Intervista di Jackson Pollock rilasciata nel 1951 a William Wright per la stazione radio Sag Harbor. homepages.neiu.edu/~wbsieger/Art201/201Read/201-Pollock.pdf P. Isola, J.Y. Zhu, T. Zhou, A.A. Efros, “Image-to-Image Translation with Conditional Ad-
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