[CPU]ai is a globally leading architecture master's studio/atelier at the Manchester School of Architecture, dedicated to exploring and formulating new design approaches that empower alternative engagement with sustainable futures. We utilize data-driven design, machine learning, computational simulation, generative design, and metric-embedded virtual environments. The studio applies emerging possibilities from AI, Big Data, Smart Cities, Machine Learning, MMO games, and computational design to create sustainable Future Cities. Students are trained to engage with the complexities of urban transformation by expanding their design process and methods through computational possibilities. The studio adopts a custom complexity-based design science methodology to translate theoretical concepts into spatially relevant design strategies, utilizing information from multiple sources and interdisciplinary theories and methods.
The [CPU]lab, an externally funded research laboratory, reinforces research-led teaching in design and enables students to translate research methodologies into experimental computation-based design approaches. This year, [CPU]ai explores 'Zero Carbon Future Cities' in East Manchester, in partnership with Manchester City Council, focusing on designing accessible, sustainable, and metric-embedded architectures that address energy use, emissions, transport, lifestyle, health, and air quality. Graduates of [CPU]ai contribute to an evolutionary process for the profession towards new forms of design practice embedded in new understandings of design process.