ENTRDENN
DENNIS H. MILLER
MSTP_2023 draws on software techniques inspired by Alan Turing’s pioneering research into morphogenesis—the study of how patterns emerge in nature. While the underlying process can mimic the markings of leopards, butterflies, or other organic forms, here it is harnessed toward abstraction. The work presents a continuously shifting array of overlapping structures, flowing in and out of view like an intricate surface in quiet motion. The result is less a narrative of change than a meditation on variation within constraint, echoing the rhythms of natural growth while remaining distinctly digital in its execution. Accompanied by sound that underscores its measured pace, MSTP_2023 creates an environment that is contemplative and immersive, inviting the viewer to become attuned to delicate fluctuations over time.
DISPLAY TYPE : HORIZONTAL
RUNTIME : 01’ 00”
RESOLUTION : MAX 4K
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[Copyright Notice & Strict Prohibition of AI Training Use]
All text, images, videos, and other content on this page (hereinafter the "Works") are the original creations and copyrighted property of authors, strictly protected under the Korean Copyright Act and international treaties. Without the express prior written consent, you may not, in any form or by any means, reproduce, distribute, perform, display, publicly transmit (including, but not limited to, capturing, downloading, or streaming), create derivative works from (including, but not limited to, retouching, editing, or adapting), or use the Works for the purpose of collecting data for and/or training artificial intelligence (AI) models (including, but not limited to, web scraping or crawling). Please be warned that any unauthorized use of these Works in disregard of this notice will result in civil and criminal liability under applicable laws.
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