Data Driven Architecture
The Future of Curating with AI!
A manifesto
AI art that thinks, co-creates, and dynamically changes the space is gaining momentum.
Concrete White Cubes limited by their conservativeness, ineptly decorated with parametric claddings, are retro architecture that happened to get old before it was amortized as a cultural medium.
For the first time in history, we are witnessing a comprehensive digital transformation affecting all industries simultaneously Data-Driven Architecture is one of them. It will make art galleries’ architecture hyper-reality. The hyper-reality spaces tour through immersive experience adds to the emotional resonance with AI art; new ways of viewing digital art will bring a new level of emotional depth to the experience of visiting galleries and museums.
🔵 Is the art experience post-human?
AI Art generated by collector self? What is the role of the artist?
Machine Learning’s brilliant engineers a new kind of artist. How will it affect museums and galleries? AI art pushes our perception and expectations of artwork, forcing us to rethink what art is.
No! Save the art world from AI!
the whole story in the link below:
Inspired by Eva Rtology’s article “Artwatch is Here!” Reflect on the future of architectural spaces serving art.
Art Galleries Architecture is the Avangarde for whole constructive industry
A manifesto for the Data-Driven Architecture.
Data-Driven Architecture is a nascent practice, still in its infancy. However, AI architecture may be as good — if not better — at what architects have traditionally been doing: analyzing building plans and designs for design solutions, validating construction methods, and efficiency costs. AI can ensure the highest quality of details by generating the optimal mix of materials, suppliers, and techniques. It can even verify the traditional coordination between contractors and designers.
AI architecture generation is quickly evolving to help humans do what they do better. The new paradigm will drive how we define our profession. The goal should be to improve how we practice architecture, not prove that AI is not ready yet.
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