It seems we can’t find what you’re looking for. Perhaps searching can help.
Within the current global context of rapid change, integrated with the potentials of digital technologies, IAAC’s Master in AI for Architecture and the built environement (MaAI01) is committed to the generation of new ideas and pioneer novel AI-driven solutions applications for the fields of Urban Tech, Smart Construction and Natural Ecosystems. The three transversal objectives of the program are Regenerative Design, Carbon Neutrality and Co-Design Processes.
In this context IAAC and the MaAI works with a multidisciplinary approach, integrating computational design, rapid prototyping, machine learning, data science, and generative AI implementing sustainable practices at an unprecedented scale. Facing the challenges posed by our environment and the future development of cities, architecture and buildings, through a virtuous combination of technology, biology, computational design, digital and robotic fabrication, pushing innovation beyond the boundaries of a more traditional architectural approach.
Course: MaAI 24/25 Research Studio
Data-driven and impactful solutions. Through the presentations of the industry partner’s challenges for the built environment, which are aligned with the master's vertical and horizontal master’s themes, students have the opportunity to engage with real-world issues that require innovative solutions. Guided by weekly guest experts from both academia and industry, students explore and define a research project that tackles the challenges of the built environment. The developed project focuses on a data-driven solution with the potential for practical application and further development throughout the academic year.
view Syllabus & Faculty-
No courses found