La chaire AI4ARCHI (AI for Architectural and Urban Generative Design) est lauréate de l’AAP Chaire MIAI 2025. Le MIAI est l’un des 9 clusters en IA soutenu par France 2030.
Cette chaire développe des activités de recherche, de formation et d’innovation, elle rassemble 4 laboratoires du site grenoblois (des établissements Culture, UGA, CNRS et CEA) et 18 partenaires académiques et socio-économiques. Elle est organisée autour de deux thématiques scientifiques : 1/ l’IA générative dans le processus de conception et de création ; 2/ l’intégration des paramètres environnementaux dans le processus de conception architecturale et urbaine.
La chaire est dirigée par Benjamin Lecouteux (UGA/LIG) et Philippe Marin (ENSAG/MHA), elle implique David Wolle (ENSAG/MHA) Philippe Thony (CEA/LITEN/DTS/SMPV), Christophe Menezo (USMB/CNRS/LOCIE), Tiana Delhome, Sébastien Monin, Yann Blanchi (CEA/DRT/DINOV).
La chaire associée également 18 partenaires socio-économiques et académiques : Rougerie + Tangram, FERRCAD, EQUANS, CHAT3D, SERGE FERRARI, Heliocity, Conseil National Ordre des architectes, Fédération Française du Bâtiment, Maison de l’Architecture de l’Isère, Minalogic, MINnd2050, Sherbrooke University, UC Louvain, Liege University, SINTEF, le programme CMA Transition Architecture-Paysage piloté par l’ENSA de Normandie, le réseau Scientifique et pédagogique en Architecture Architecture Conception et Culture Numérique (ACCN), Amaco.
WHY :
- The construction and architectural sectors are having difficulty to embrace digital transformation, supervisory bodies have identified the need to support the transformation of the sector, by encouraging the emergence of new knowledge and technical skills.
- Sector accounts for 30% of the european environmental footprint, making it the main contributors. It is essential to take greater account of environmental issues, right from the initial design phases.
GENERAL OBJECTIVES :
- Contribute to the “capability” of designers, and meet the training challenges facing the National Higher Schools of Architecture and professionals.
- Contribute to the design of a more environmentally-friendly built environment, by leveraging the qualities of AI systems.
SCIENTIFS CHALLENGES :
- In terms of architectural sciences : Reframing the computational co-creativity | Considering the effects and place of language in the process of designing | Integrating environmental performance, right from the initial design phases.
- In terms of computer sciences : Adapt language models (LLMs) to architecture-specific tasks by hybridizing them with domain-specific data and appropriately evaluate their performances and ethical issues.
- In terms of engineering sciences : Optimizing solar productions and solar morphologies is a complex task, involving a multi-criteria optimization problem that considers heterogeneous parameters such as PV production, use, structure, comfort, energy, solar potential and local climat. AI facilitates these activities and speed up simulation processes.
RESEARCH PACK :
- CCC AI and creativity: How LLM can support humans in design (impacts and modalities of langage interactions for representation productions).
- DDD AI simulation and optimization: How predict the shape based on performance requirement, integrate environmental parameters into generative design processes.
TRAINING PACK:
- Initial training : Production of digital resources for students from the french schools of architecture, in collaboration with CMA project.
- Training of trainers : Production of digital resources for professors and lecturers from the french schools of architecture, in collaboration with CMA project.
- Specialized training : Orgnanize a new Master 2 degree in generative design, collaboration between UGA et ENSAG.
INNOVATION PACK :
- Applied and hosted researches: Scientific collaboration and CIFRE PhD.
- Sharing and experimentation workshops : Share practices, real-life case studies and/or take part in tools evaluation.
- Awareness open cycles : Promote and raise awareness of the sector, organisation of the “Café de l’IA pour l’architecture”, in collaboration with MA38.
- Prospective and exploratory projects : Organisation of open innovation projects to encourage and uncap futur research development and innovation partnership.
METHODOLOGY :
Based on an analysis of the literature and real case studies, prototypical digital tools are implemented and evaluated with scholars and the project’s professional partners.
