Ruisong Huang, Zaiyang Pan, Dongya Wang


A{AI} - Architecture and Artificial Intelligence


Matias del Campo + Sandra Manninger


Using artificial intelligence as our tool, our project aims at including data as a prime category of context for architecture design. With the booming development of the digital world, we are undergoing an information age where the whole world can be described by data . At the same time, we also invest a large amount of time in processing them. And in turn, they have an impact on how our society is organized. So, we believe that data has become an invisible but non negligible context for architecture design.

Based on the use of AI, we are proposing a new way to introduce data into architecture design as we represent huge urban data in 3D forms, and explore the relationship between data and architecture at the same time.

During our working process, urban data is being categorized into different layers, and later being transformed into form and space, and in turn architecture itself becomes visualized data. By doing this we try to propose a critical way to represent and experience our urban environment.

We are here using AI to directly connect different layers of urban data to cities and proposing a space built from pure data, rather than treating data as design references. And through applying the theory of stack by Benjamin Bratton,we manage to build a space which can be endless and infinite, as long as there is more data available. So, here we are using data to reform space, and in turn the process and complexity of the output also broaden our view and improve our understanding of the relationship between data and human environment.