AI, particularly through machine learning (ML) subsets like Generative Adversarial Networks (GANs), is being leveraged to develop intricate architectural designs. An example includes Stanislas Chaillou's experimentation using GANs for floorplan designs at Harvard, which underscored the influence of style in AI-driven architectural processes. Tools like Delve by Google’s Sidewalk Labs, Finch 3D, and Higharc are integrating AI to generate architectural designs swiftly and efficiently. Additionally, NVIDIA's Omniverse platform offers a collaborative environment for 3D design simulations, with promising future prospects like GANverse 3D, which transforms 2D images into 3D models. While AI-based tools are advancing the field of architecture, the need for human intervention remains crucial in refining and finalizing these AI-driven designs.
Source and related link:
- https://www.exxactcorp.com/blog/Deep-Learning/ai-in-architecture
- https://www.academia.edu/39599650/AI_Architecture_Towards_a_New_Approach
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