“ Artificial intelligence represents a new tool within the field of architecture and urban design ”
It serves as a source of inspiration , exploration , optimisation , and acts as a decision support system . We ask questions , identify problems and challenges in the context of the architecture and smart city .
To solve these challenges , we look for intelligent algorithms and models for analysis , synthesis and prediction . We train these models , to ensure accurate results . In certain cases , extensive data might be unavailable due to reasons such as data protection or resource constraints .
Hence , we generate synthetic data and validate methods to use in city design . Particularly , when it comes to challenges in cities , such as understanding mobility habits of the citizens , urban civil protection or maintenance of bridges and landmarks ; artificial intelligence algorithms can deliver some really promising solutions .
Can you tell us about the innovative digital tools you are developing for architectural design and urban development - and how they incorporate AI technologies ? Digital City Science is a large team led by Prof . Dr . -Ing . Jörg Rainer Noennig . Our work revolves around various projects , models , applications , and city tools .
We investigate how new digital technologies can relate to existing urban systems , focusing on user-oriented participatory planning , co-creation , and co-design . We develop new tools that enable fundamental scientific investigations , spot trends and theoretical findings , and inform policy and decision makers .
The DaFne project is a research The DaFne project is a research initiative that explores the waterenergy-food Nexus in complex
initiative that explores the waterenergy-food Nexus in complex transboundary water resources of fast transboundary water resources developing countries . It is funded by of fast developing countries . It is the Federal Ministry of Agriculture , funded by the Federal Ministry of Forestry , Regions and Water Agriculture , Forestry , Regions and Management ( BMBF ). The project Water Management ( BMBF ). The project involves collaboration with educational involves collaboration with educational and commercial partners , although and commercial partners , although specific details on these partners are specific details on these partners are not provided in the search results . not provided in the search results . One of the goals of the DaFne project
One of the goals of the DaFne project is to develop a decision-analytic is to develop a decision-analytic framework ( DAF ) to quantitatively framework ( DAF ) to quantitatively assess the social , economic , and assess the social , economic , and environmental impact of expanding environmental impact of expanding water reuse and recycling in the water reuse and recycling in the food and beverage industry . The food and beverage industry . The project has also experimented project has also experimented with data sets in collaboration with data sets in collaboration with the Center for Information with the Center for Information Services & HPC , TU Dresden . Services & HPC , TU Dresden .
Our research aims to develop systematic knowledge about the conception , design , and implementation of digital tools and data processing to make cities healthier , livable , sustainable , and comfortable for citizens .
In projects such as DaFne , we handle large datasets and employ different approaches involving smart city algorithms and AI methods . The incorporation of AI technologies varies depending on the project ; including visualisation , optimisation , analysis and planning . aimagazine . com 17