Crip-Techno-Tinkerism: A Neurodivergent Learning Style Meets Machine Learning

IF 0.4 4区 艺术学 0 ART LEONARDO Pub Date : 2024-01-24 DOI:10.1162/leon_a_02499
Erika-Jean Lincoln
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引用次数: 0

Abstract

The artist discusses the development of their crip-techno-tinkerism methodology and its application to machine learning. They outline how their tinkering with the creation of datasets and the manipulation of transfer learning within machine learning models can reflect the diversity of neurodivergent learning.
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瘸子技术工匠主义:神经发散型学习方式与机器学习的结合
艺术家讨论了他们的 "瘸子技术修补 "方法论的发展及其在机器学习中的应用。他们概述了自己在创建数据集和在机器学习模型中操纵迁移学习方面所做的修补工作如何能够反映神经异化学习的多样性。
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来源期刊
LEONARDO
LEONARDO ART-
CiteScore
0.90
自引率
0.00%
发文量
139
期刊介绍: Leonardo was founded in 1968 in Paris by kinetic artist and astronautical pioneer Frank Malina. Malina saw the need for a journal that would serve as an international channel of communication between artists, with emphasis on the writings of artists who use science and developing technologies in their work. Today, Leonardo is the leading journal for readers interested in the application of contemporary science and technology to the arts.
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