Neural Palate Kueh

If there is one thing that you would not need nor want Artificial Intelligence (AI) to do for you, it is probably eating. Yes, more than thinking, designing, building, and even sleeping on your behalf. All work in the future including architecture work could potentially reside at the dining table. Dining as co-designing and eating as consecrating architecture. A ‘tasty’ architectural ‘food-for-thought’ and ‘food-to-eat’. The project ‘Neural Palate Kueh’ currently on display at the 19th Venice Architecture Biennale 2025 as part of the Singapore Pavilion attempts to illustrate such a possible architecture design approach in the future. It uses the traditional Singaporean kuehs (bite-sized snack or dessert foods) to speculate on future scenarios of building-making and city-making with the analogical generativity limits (and potential creativity) of today’s AI – one that could be made specific to a given culture and built environment like Singapore. Inspired by Nigel Coates’ ‘Mixtacity’ (2007) in his use of food (and other objects trouvés) to stimulate urban imagination, Sarah Wigglesworth’s ‘The Dining Table’ (1998) in her use of the spatio-temporal traces left by guests at the dining table to generate architecture plans, and Aldo Rossi’s ‘An Analogical Architecture’ (1976) in his use of analogies as design method to awaken collective memory in a Jungian sense, Neural Palate Kueh extends these with AI’s current analogical reasoning capability in 3D. It fine-tunes several AI models to generate context-specific 3D urban forms from real-time dining footages and to synthesize 3D building forms with edible food. Using Multimodal Large Language Models (MLLMs), the process begins with AI’s deconstruction of each kueh along three axes: conceptual underpinnings (rituals of eating and cultural symbolism), design operatives (geometric form and culinary construction), and materiality (ingredients and textures). These insights become the learnt architectural design principles of th