Machine Learning Literacy for Designers and Engineers

Explore the transformative impact of machine learning on design and engineering in this thought-provoking lecture by Dr. Vahid Moosavi. Discover how the combination of machine learning and data offers a universal perspective on world phenomena, challenging traditional expert-based disciplinary research. Learn about the paradigm shift in expertise, from having answers to known questions to learning to ask good questions. Examine a range of projects across various fields, including structural design, urban flood risk modeling, planetary urban analysis, and real estate markets. Gain insights into a "generic typology" of machine learning applications across domains. Understand the game-changing potential of generic machine learning in engineering and its personal application in design fields. Delve into recent advances in reinforcement learning, generative models, and topological data analysis for media creation, design exploration, and urban analytics. Consider the future role of machine learning in the toolset of artists and designers, and how it may reshape academic research and education.