Architectural Design in The Light of AI Concepts and Applications

dc.contributor.authorA. Amer, Nihal
dc.date.accessioned2023-04-04T14:15:15Z
dc.date.available2023-04-04T14:15:15Z
dc.date.issued2023
dc.description.abstractIn the early stages of projects, architects always face a huge amount of data needed for the design. Currently, computational facilities are available to assist the designer to utilize data and information easily and efficiently to achieve this goal. Artificial Intelligence, AI, is a new science that utilizes, interprets and manipulates data to achieve goals and to accomplish tasks. Currently, AI has been spread among different disciplines and encompasses a wide variety of sub-fields (Modelling, anomaly detection, association and clustering). The present work aims at clarifying the privilege of adopting AI in the architectural design, and to encourage architects to start using it friendly. This is accomplished through a two-fold methodology: highlighting the related literature and demonstrating a summary of selected published case studies of applied and intended projects. It is expected that AI will be applied and play a substantial role in architecture practice more widely in future projectsen_US
dc.description.sponsorshipMSA Universityen_US
dc.identifier.citationFaculty of Engineeringen_US
dc.identifier.urihttp://repository.msa.edu.eg/xmlui/handle/123456789/5488
dc.language.isoenen_US
dc.publisherOctober university for modern sciences and Arts MSAen_US
dc.relation.ispartofseriesFaculty of Engineering;
dc.subjectMSA Universityen_US
dc.subjectOctober University of Modern Sciences And Artsen_US
dc.subjectComputational facilities,en_US
dc.subjectArchitectural software,en_US
dc.subjectArtificial intelligenceen_US
dc.titleArchitectural Design in The Light of AI Concepts and Applicationsen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Architectural Design in The Light of AI Concepts and Applications.pdf
Size:
797.07 KB
Format:
Adobe Portable Document Format
Description:
faculty of engineering journal volum 2 2023 issue 2

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: