Carbon-Silicon Synergy: Architectural AI Design with Fused Text-Image Data

Authors

  • Yuxuan Zhu Gold Mantis School of Architecture, Soochow University, Suzhou 215009, China
  • Shu Wang College of Architecture, Nanjing Tech University, Nanjing 211816, China

DOI:

https://doi.org/10.53469/jpce.2025.07(10).04

Keywords:

Carbon-based world, Silicon-based world, Architectural AI design, Text-Image Data

Abstract

The dichotomy between the carbon-based physical world and the silicon-based digital realm is increasingly central to contemporary architectural discourse. The former, defined by biological embodiment and material constraints, serves as the foundational substrate for human habitation, while the latter, constituted by computational infrastructures and virtual environments, functions as an emergent domain for social organization, information processing, and experiential simulation. Under the influence of the meta-cosmic wave—characterized by accelerated virtualization, algorithmic governance, and immersive digital ecologies—urban trajectories are being reconfigured beyond historical paradigms of spatial certainty. Phenomena such as urban decay, identity erosion, and digital homogenization have been observed, while counter-movements emphasizing co-habitation, humanistic revival, nature-urban integration, and localized resistance to digital hegemony are being formulated. The spatial agency of architects is being redefined within hybrid digital-physical workspaces, necessitating the reconstruction of design methodologies and meaning systems. Due to inherent limitations in information density and transmission efficiency, the carbon-based world is increasingly supplemented, and in some domains superseded, by the silicon-based environment, which demonstrates superior capacity for event coordination and real-time simulation. To mediate this dual reality, a synergistic architectural intelligence is proposed, grounded in the fusion of textual and visual data through artificial intelligence, enabling the generation of design frameworks responsive to the co-evolution of carbon and silicon substrates.

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Published

2025-10-31

How to Cite

Zhu, Y., & Wang, S. (2025). Carbon-Silicon Synergy: Architectural AI Design with Fused Text-Image Data. Journal of Progress in Civil Engineering, 7(10), 33–37. https://doi.org/10.53469/jpce.2025.07(10).04

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Section

Articles