Jessica In
Jessica is an architect, designer, creative coder + educator. She is a Lecturer at the Bartlett School of Architecture in London, where she is also a PhD candidate. Her research work explores the role of programming and machine learning in architectural representation. Notions of code, data and drawing for the exploration of immaterial and spatial relationships are at the core of her work.
How can architectural thinking can enable extrapolative Artificial Intelligence for design?
This talk will present some work in progress research that explores new approaches for critically adopting Artificial Intelligence (AI) and Machine Learning (ML) as a methodology for architectural design. By considering the nature of learning through different ML approaches alongside traditional acts of design, the research aims to establish a fresh approach to framing AI in architectural design.
