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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 AI Theory for Design
AEC Industry is traditionally a lazy adapter for new technologies. Nevertheless from ImageNet or Deep Learning to GANs and LLMs accessibility to AI for the non-expert user has exponentially grown over the last 5 years. With a clear focus on a sustainable future for the human race-built environments, along with the content of the sessions, the student learn current usage and future trends for incorporating AI into workflows in the AEC.
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