The goal for this class was to gain a deeper understanding of machine learning by exploring its associated technologies. And through that, let our discovery and insights drive our conceptualization/area of focus.
We gained more in-depth theoretical knowledge about how machines learn through various papers and articles. Two publications that stood out, in particular, was the "AI-EDAM" paper published by Cambridge.
"Designing Agentive Technology" by Christopher Noessel which helped us better understand how to design for machine learning and the role artificial intelligence plays in our lives.
Another big initial driver for us was taking inspiration from Code2Pix, which is a deep learning compiler for generating Graphical User Interfaces GUI from images.