AI in Architecture
© 2022 Maximilian Glaus. Lorenzo Lamarche
As part of their master's thesis in architecture at ETH, Maximilian Glaus and Lorenzo Lamarche are looking into the potential of artificial intelligence in architecture.
The student's goal is to teach an algorithm qualitative spatial terms that often occur in architecture; for example, whether a room is pleasant or not.
To do this, they have prepared a quick survey (5 to 6 min) in which participants classify images of interior spaces according to qualitative criteria. They would be happy to have you participate in their short survey! You can also join a prize draw to win the 3D rooms as NFTs!
It is quick and fun to do!
https://descil.eu.qualtrics.com/jfe/form/SV_6DOwQIjnIXJP2fA
If you have any questions, you can contact Lorenzo Lamarche: [email protected]