Introduction into Machine Learning in Design, S21/S22

With the recent blooming of artificial intelligence (AI) and machine learning (ML) came a renewed interest in how these technologies may impact architecture and other creative practices. Introduction into Machine Learning in Design introduces students to this emerging field, giving them the tools to make their own machine-learning-based design tools by adapting state-of-the-art models, developing new models, and understanding how data shapes machine learning processes.

Throughout this course, students explore two main fields of machine learning and their potentials in design and making problems: Unsupervised Generative Models, Natural Language Processing (NLP), and Multimodal Machine Learning. Students will be introduced to the fundamental concepts of each field and get hands-on experience with state-of-the-art research and tools to implement them.

Generating Paintings from Text, Clover Chau, 2021

Sample of Text Data, 2021