AI for Urban Analytics, Prediction, and Design
The project iuses Artificial Intelligence for improving architectural practices to foster the development of sustainable urban environments.
About
Our research encompasses several areas: predictive analysis, AI-driven creative processes, and optimization. For example, we use historical data to predict the impact of urban renewal to help make informed, data-driven decisions. Additionally, we focus on creating sophisticated image-generating models that enable visualizing architectural designs, broadening the scope of creative possibilities. Our optimization research uses advanced algorithms to analyze complex urban data and propose effective designs.
News
Funding
- Ministery of Science and Technology
- Ariel University
- Green Group LTD
Related Papers
(2023).
Think AI-side the Box! Exploring the Usability of Text-to-Image Generators for Architecture Students.
eCAADe proceedings
doi:10.52842/conf.ecaade.2023.2.567
(2022).
A Machine-Learning Approach to Urban Design Interventions In Non-Planned Settlements.
CAADRIA proceedings
doi:10.52842/conf.caadria.2022.1.223
Team
Collaborators
