BATTERY CITY
Scale: Narrative (storytelling) - Experience & Representation in XR
Deep Urbanism, democratizes the surveillance capitalism of data harvested through the CCTV, satellites, drones, internet bots, and social media platforms and holds up the metaphoric mirror of our digital behaviour. The project demystifyies algorithms that architect our daily routines, decisions and sense of self, brought to legibility in a spatial context. Subverting the innate purpose of ai-tools to be the architectural Robin Hoods of their application, this project leverages the generative potential of deep learning models to create novel architectural and urban form.
Computer vision systems and their databases as tools in our arsenal to understand how a machine sees our world, it creates engaging future predictions.
Following tools find application in this project:
Computer Vision - Deep Learning Models
Generative Media
Computational + Procedural Designs
Storytelling + Scene Building
UX/UI (interaction, visual, motion, VR/AR/MR, research)
research
en masse demystification of data and inner workings of ai tools, instrumentalizing architecture: bringing legibility & quantification through spatial perception. we will be using the current form of computer vision systems and the databases they create as our arsenal to understand how machines see our world, and critically utilize machine learning to decipher how they interpret what they see.
advanced predictive map development
supervised ML models, generative design
through the application of pre-trained ML models, predictive color coded satellite maps were generated. These were generated in less than 1% of the industry standard time.
cgi
3d modelling, texturing, mapping, rigging, animation
immersive storytelling
ar
