Moving from the abstract to the actionable is always a challenge. When it comes to AI, it starts with data. Artificial intelligence is the application of data—data is what machines learn from—and in the AEC world there is no shortage of opportunities to obtain it. From billing analysis and construction-site safety to building products and performance, the data sets available to collect seem infinite. (Source: https://www.aia.org/articles/178511-embracing-artificial-intelligence-in-archit)
Danil Nagy, New York-based designer and researcher says “AI can benefit all human endeavors by making us more efficient and allowing us to focus on those aspects of ourselves that make us most human – such as intuition and creativity.”
Computers have changed the way we design our buildings and understand their urban contexts, with tools such as parametric design altering the way we formulate design problems and arrive at new solutions. Now, Machine Learning gives the possibility of going beyond directed, top-down computation, allowing computers to learn patterns and gain new understanding directly from supplied data. Among the many opportunities given by this new paradigm, such a system can allow designers to gain a deeper understanding of the relationships between the physical reality of the city with our personal and emotional responses to it. The Data Mining the City cluster will explore these new opportunities by prototyping custom hardware to simultaneously gather both physical and personal data about the city, and then using Machine Learning algorithms to discover patterns and correlations between the physical realities of the city and our personal experiences of it.