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Arguably one of humanity’s biggest struggles is in getting nonhuman entities and processes to care about us. The digital image is one of the strongest territories to exemplify this, where we impart privilege and importance onto groups of pixels that look like us and expect objective machine-vision processes such as facial recognition to inherently do the same. By deconstructing images into their base pixels and transforming them through machine vision recognition processes, various machine-driven readings can be explored. 

With the impending intersection of our data footprints being applied towards AI learning processes, AI being applied in broader environmental control, and AI advancement, a question emerges of how our visual data footprint may be interpreted or misinterpreted by machines to produce the built world. In this process, image pixels are projected across three planes as 3d voxels, revealing new relationships between image characteristics and formal/material typologies.

This scenario presents a future of full-AI controlled smarthomes, where the data demands and types of the building inhabitants are used by AI processes to redevelop and envelop the building around them, and speculates on the architectural implications that humans may face as our visual data footprints are applied into progressively more autonomous machine vision processes.

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Impending AI control

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human data legibility

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physical implications of our digital footprint

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The formal generation process involves reading typical human imagery through edge-detection algorithms, rearranging and scaling individual image pixels based on these outlines, and then projecting and intersecting the transformed pixels as 3d voxels across multiple planes. This process ultimately reinterprets aesthetic image qualities into architectural typologies such as form, material, and program, allowing curation of the process towards certain architectural performances.

The formal generation process involves reading typical human imagery through edge-detection algorithms, rearranging and scaling individual image pixels based on these outlines, and then projecting and intersecting the transformed pixels as 3d voxels across multiple planes. This process ultimately reinterprets aesthetic image qualities into architectural typologies such as form, material, and program, allowing curation of the process towards certain architectural performances.

Image-driven formal aesthetics

 

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