Category: Athena Dataset
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Transfer Learning
This print illustrates the process of transfer learning, a machine learning technique when a model trained on one task is reused –usually to save time and computing energy– for another related task. A series of uncanny images reveals a machine learning model’s transition from a training dataset to a primary one.
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Tiny Datasets
The intimacy of a tiny dataset approach is in contrast with big data and its tendency to produce homogenized results; the Tiny Dataset series celebrates its local, limited, situated, chaotic, and precise results in alliance with Donna Haraway’s critique of “The God Trick.”
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When Artistic Authorship Meets Scientific Bias
“Team Picks” contrasts desirable artistic authorship and undesirable scientific bias. It confronts the destiny of any new technology – that it will eventually become an old, discarded one.
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What inspired the Tiny Dataset Project
In this instance, the genetic algorithm pulled from the octagon and triangle parts of all 500+ Dancing Stars.
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The Athena Dataset
The Athena Dataset is a series of remixes, iterations, constructions, and deconstructions.
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Making (And Giving Away) Tiny Prints of the Athena Dataset
Below are notes on how the Athena Dataset was pictured using a mini 3D printed printing press. Invoices for materials are shared for those interested in working with the press. Making mini prints with this 3d-printed printing press from Open Press. Printed in ABS. Tools used to make these original monotypes include a 3d printer,…
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Making Liquid Architectures with the Athena Dataset
Here’s a video made by the student employees in the UVM FabLab; it shows the work they contributed to fabricating the sculptures in the exhibition, Liquid Architectures and Leaky Territories.
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Installation Shots From Liquid Architectures and Leaky Territories
For the gallery of images follow this link. There are so many people to thank for the great success of the first showing of Liquid Architectures. I’ll highlight the program here but also want to thank University Communications and particularly Bailey Beltramo, Ian Thomas Jansen-Lonnquist, and Josh Defibaugh for exhibition documentation.
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2022 – Ongoing | Liquid Architectures and Leaky Territories
Photo of 3d-printed printer used to make these prints.
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Managing the Complexity Of A Collaborative Generative Art Practice
Special shout out to my fellow-presenters and panelists at this year’s College Art Association Annual Conference! It was in inspiring display of innovative digital humanties projects, facilitated by forward-thinking librarians. Appraising Your Research as Data: Managing, Visualizing, and Preserving Your ScholarshipArt Libraries Society of North America2/19/22 Chairs: Kim Collins, Emory UniversityKate Cunningham, University of Buffalo…
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Exhibition Announcement: Liquid Architectures and Leaky Territories
WHAT:Art Exhibition and Opening Reception forLiquid Architectures and Leaky Territories WHO:Jenn Karson, Lecturer, Dept. of Art and Art HistoryArt + Artificial Intelligence (AI) Research Group at UVM WHERE:Francis Colburn Gallery, Williams Hall, University of Vermont72 University Place, 3rd floor. WHEN: Opening Reception + Mini-Print GiveawayMonday 3/21Noon – 1pm307 Williams Hall, UVM Art + Machine Learning…