Machine Learning + Image-making
Hello all, My name is Abi Muñoz and I am a graduate student at ITP NYU Tisch. My program focuses on the intersection of art and technology. My art practice focuses on image-making using both analog (photography and film) and more recently I have incorporated machine learning. I am wondering if anyone else is doing similar work or knew of any similar projects. I am based in New York and really hope to continue pursing this research over the summer and over my final year of the program. Any and all information is greatly appreciated. Thank you! Best, Abi Muñoz abimunoz.com abimunor@gmail.com abimunoz@nyu,.edu
Hi Abi, The community on the #computervision channel of the Digital Humanities Slack team [1] tends to share interesting research in this realm. Most recently shared was an update on the Public Art project [2][3] by Leonard Bogdonoff [4] who describes his work as "at the cross section of art and technology." I believe he also currently resides in NYC. The Public Art project "seeks to preserve and better understand street art through the application of machine learning techniques." Best of luck in the completion of your program! [1] http://tinyurl.com/DHslack [2] https://www.publicart.io/ [3] https://towardsdatascience.com/tracking-street-art-with-machine-learning-upd... [4] https://www.rememberlenny.com/ Carolyn Moritz <https://blog.cmagn.us> orcid.org/0000-0001-8221-0519 On Wed, Apr 3, 2019 at 9:54 PM Abi Muñoz <abimunozr@gmail.com> wrote:
Hello all,
My name is Abi Muñoz and I am a graduate student at ITP NYU Tisch. My program focuses on the intersection of art and technology. My art practice focuses on image-making using both analog (photography and film) and more recently I have incorporated machine learning.
I am wondering if anyone else is doing similar work or knew of any similar projects. I am based in New York and really hope to continue pursing this research over the summer and over my final year of the program. Any and all information is greatly appreciated. Thank you!
Best,
Abi Muñoz abimunoz.com abimunor@gmail.com abimunoz@nyu,.edu _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org
Join the Association of Internet Researchers: http://www.aoir.org/
Thank you so much! On Mon, Apr 8, 2019 at 4:52 PM Carolyn Moritz <cvmoritz@gmail.com> wrote:
Hi Abi,
The community on the #computervision channel of the Digital Humanities Slack team [1] tends to share interesting research in this realm. Most recently shared was an update on the Public Art project [2][3] by Leonard Bogdonoff [4] who describes his work as "at the cross section of art and technology." I believe he also currently resides in NYC.
The Public Art project "seeks to preserve and better understand street art through the application of machine learning techniques."
Best of luck in the completion of your program!
[1] http://tinyurl.com/DHslack [2] https://www.publicart.io/ [3] https://towardsdatascience.com/tracking-street-art-with-machine-learning-upd... [4] https://www.rememberlenny.com/
Carolyn Moritz <https://blog.cmagn.us> orcid.org/0000-0001-8221-0519
On Wed, Apr 3, 2019 at 9:54 PM Abi Muñoz <abimunozr@gmail.com> wrote:
Hello all,
My name is Abi Muñoz and I am a graduate student at ITP NYU Tisch. My program focuses on the intersection of art and technology. My art practice focuses on image-making using both analog (photography and film) and more recently I have incorporated machine learning.
I am wondering if anyone else is doing similar work or knew of any similar projects. I am based in New York and really hope to continue pursing this research over the summer and over my final year of the program. Any and all information is greatly appreciated. Thank you!
Best,
Abi Muñoz abimunoz.com abimunor@gmail.com abimunoz@nyu,.edu _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org
Join the Association of Internet Researchers: http://www.aoir.org/
Hi Abi, My husband, artist Abel Tilahun works with various digital media, including computer-generated animation as well as most recently a motion sensor within a kinetic sculpture of a beating heart. You can walk-through his most recent show at American University's Katzen Museum here<https://vimeo.com/256988892>. Also, check out this upcoming conference http://eyeofestival.com/. Best wishes, Isabelle Isabelle A. Zaugg, PhD Postdoctoral Research Scholar Mellon-Sawyer Seminar in Global Language Justice Institute for Comparative Language and Society Columbia University Eyeo Festival | Converge to Inspire<http://eyeofestival.com/> #ART TECH #AI #GENERATIVE ADVERSARIAL NETWORKS Helena is a visual artist and software engineer who works with GANs (Generative Adversarial Networks) whose certain unpredictability inspires, unblocks, and creates something special. eyeofestival.com ________________________________ From: Air-L <air-l-bounces@listserv.aoir.org> on behalf of Abi Muñoz <abimunozr@gmail.com> Sent: Monday, April 8, 2019 3:43 PM To: Carolyn Moritz Cc: air-l Subject: Re: [Air-L] Machine Learning + Image-making Thank you so much! On Mon, Apr 8, 2019 at 4:52 PM Carolyn Moritz <cvmoritz@gmail.com> wrote:
Hi Abi,
The community on the #computervision channel of the Digital Humanities Slack team [1] tends to share interesting research in this realm. Most recently shared was an update on the Public Art project [2][3] by Leonard Bogdonoff [4] who describes his work as "at the cross section of art and technology." I believe he also currently resides in NYC.
The Public Art project "seeks to preserve and better understand street art through the application of machine learning techniques."
Best of luck in the completion of your program!
[1] http://tinyurl.com/DHslack [2] https://www.publicart.io/ [3] https://towardsdatascience.com/tracking-street-art-with-machine-learning-upd... [4] https://www.rememberlenny.com/
Carolyn Moritz <https://blog.cmagn.us> orcid.org/0000-0001-8221-0519
On Wed, Apr 3, 2019 at 9:54 PM Abi Muñoz <abimunozr@gmail.com> wrote:
Hello all,
My name is Abi Muñoz and I am a graduate student at ITP NYU Tisch. My program focuses on the intersection of art and technology. My art practice focuses on image-making using both analog (photography and film) and more recently I have incorporated machine learning.
I am wondering if anyone else is doing similar work or knew of any similar projects. I am based in New York and really hope to continue pursing this research over the summer and over my final year of the program. Any and all information is greatly appreciated. Thank you!
Best,
Abi Muñoz abimunoz.com abimunor@gmail.com abimunoz@nyu,.edu _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org
Join the Association of Internet Researchers: http://www.aoir.org/
_______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org Join the Association of Internet Researchers: http://www.aoir.org/
Thanks for these interesting connections! I lead an ERC project called "Machine Vision in Everyday Life: Playful Interactions with Visual Technologies in Digital Art, Games, Narratives and Social Media". Our main website is https://www.uib.no/en/machinevision and we also share stuff in various social media. This is a research project, but our digital art researcher is also a practicing artist. We're also working on a database of art, games and narratives that either use or portray machine vision technologies. It's at a very embryonic stage right now, we've only just started gathering the artworks and the coding schema and user interface is still very much under development, but if you're in the mood for betatesting, you can browse examples of digital artworks (and creepypastas and science fiction movies and video games etc) that deal with machine vision in various way: https://machinevision.elmcip.net/knowledgebase. A lot of them use machine learning. We've got 113 records so far and are hoping to get to 1000. If you know of more examples, we would LOVE suggestions. Send me an email or tweet to @machvisionERC. Jill On 09/04/2019, 01:10, "Air-L on behalf of Isabelle Zaugg" <air-l-bounces@listserv.aoir.org on behalf of isabellezaugg@hotmail.com> wrote: Hi Abi, My husband, artist Abel Tilahun works with various digital media, including computer-generated animation as well as most recently a motion sensor within a kinetic sculpture of a beating heart. You can walk-through his most recent show at American University's Katzen Museum here<https://vimeo.com/256988892>. Also, check out this upcoming conference http://eyeofestival.com/. Best wishes, Isabelle Isabelle A. Zaugg, PhD Postdoctoral Research Scholar Mellon-Sawyer Seminar in Global Language Justice Institute for Comparative Language and Society Columbia University Eyeo Festival | Converge to Inspire<http://eyeofestival.com/> #ART TECH #AI #GENERATIVE ADVERSARIAL NETWORKS Helena is a visual artist and software engineer who works with GANs (Generative Adversarial Networks) whose certain unpredictability inspires, unblocks, and creates something special. eyeofestival.com ________________________________ From: Air-L <air-l-bounces@listserv.aoir.org> on behalf of Abi Muñoz <abimunozr@gmail.com> Sent: Monday, April 8, 2019 3:43 PM To: Carolyn Moritz Cc: air-l Subject: Re: [Air-L] Machine Learning + Image-making Thank you so much! On Mon, Apr 8, 2019 at 4:52 PM Carolyn Moritz <cvmoritz@gmail.com> wrote: > Hi Abi, > > The community on the #computervision channel of the Digital Humanities > Slack team [1] tends to share interesting research in this realm. Most > recently shared was an update on the Public Art project [2][3] by Leonard > Bogdonoff [4] who describes his work as "at the cross section of art and > technology." I believe he also currently resides in NYC. > > The Public Art project "seeks to preserve and better understand street art > through the application of machine learning techniques." > > Best of luck in the completion of your program! > > [1] http://tinyurl.com/DHslack > [2] https://www.publicart.io/ > [3] > https://towardsdatascience.com/tracking-street-art-with-machine-learning-upd... > [4] https://www.rememberlenny.com/ > > Carolyn Moritz <https://blog.cmagn.us> > orcid.org/0000-0001-8221-0519 > > > On Wed, Apr 3, 2019 at 9:54 PM Abi Muñoz <abimunozr@gmail.com> wrote: > >> Hello all, >> >> My name is Abi Muñoz and I am a graduate student at ITP NYU Tisch. My >> program focuses on the intersection of art and technology. My art >> practice focuses on image-making using both analog (photography and >> film) and more recently I have incorporated machine learning. >> >> I am wondering if anyone else is doing similar work or knew of any >> similar projects. I am based in New York and really hope to continue >> pursing this research over the summer and over my final year of the >> program. Any and all information is greatly appreciated. Thank you! >> >> Best, >> >> Abi Muñoz >> abimunoz.com >> abimunor@gmail.com >> abimunoz@nyu,.edu >> _______________________________________________ >> The Air-L@listserv.aoir.org mailing list >> is provided by the Association of Internet Researchers http://aoir.org >> Subscribe, change options or unsubscribe at: >> http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org >> >> Join the Association of Internet Researchers: >> http://www.aoir.org/ > > _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org Join the Association of Internet Researchers: http://www.aoir.org/ _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org Join the Association of Internet Researchers: http://www.aoir.org/
Hi Abi, If you haven’t run across his work yet Trevor Paglen [1] is doing some really amazing work with machine vision [2,3]. Also, James Bridle is an artist who has been writing about machine learning and culture for some time, and has a new book out [4]. Finally, I just finished Adrian Mackenzie’s book Machine Learners [5] which takes a deep dive into the nuts & bolts of machine learning, and uses critical theory to examine how machine learning is used as a form of knowledge production and a strategy of power. I think some of the ideas he develops in the book could be really useful for the arts/humanities. Just as an aside, I think one of the challenges for artists working in this area is description. How do you present information about the data and processes that yield the work for a general audience, while also providing enough detail for others who would like to repeat or extend your work? I’m reminded of of Sol LeWitt’s famous instructions for generating art [6], which became works of art themselves [7]. I think effectively communicating these descriptions can lead to greater appreciation. But I could also see an argument for obscuring it, and letting the viewer try to connect the dots themselves. Good luck with your project, I hope you will share some of your results here! //Ed [1] http://paglen.com/ [2] https://www.theartnewspaper.com/feature/trevor-paglen-machine-visions [3] https://vimeo.com/205149078 [4] https://www.versobooks.com/books/2698-new-dark-age [5] https://mitpress.mit.edu/books/machine-learners [6] https://massmoca.org/sol-lewitt/ [7] http://solvingsol.com/solutions/
participants (5)
-
Abi Muñoz -
Carolyn Moritz -
Edward Summers -
Isabelle Zaugg -
Jill Walker Rettberg