Summer School: AI in AEC
Design++ Summer School: AI in AEC
Join us for a 1-week deep dive into applications of artificial intelligence (AI), machine learning (ML) and deep learning (DL) specifically tailored for architecture, engineering and construction (AEC)! How can buildings, structures and objects be designed and built with AI, ML and DL? Use computer vision and robots to learn from construction sites to build the future, better. We will cover a range of topics including generative AI, machine perception, forward and inverse design, and more.
The summer school will equip you with the necessary skills and tools and provide you with practical experience through hands-on coding sessions and mini-projects.
The summer school is open to selected PhD students, postdocs and advanced MSc students from the departments of architecture, civil engineering, mechanical engineering and computer science.
Tutors:
- external pageDr. Aleksandra Anna Apolinarska
Gramazio Kohler Research, Institute for Technology in Architecture
- Sophia Kuhn
Chair of Concrete Structures and Bridge Design, Institute of Structural Engineering
- Dr. Andreas Müller
Chair of Steel and Composite Structures, Institute of Structural Engineering
- external pageDr. Luis Salamanca Mino
external pageSwiss Data Science Center
- Dr. Anton Savov
Chair of Digital Building Technologies, Institute for Technology in Architecture
- Dr. Olga Vysotska
Computer Vision and Geometry Group, Robotic Systems Lab
Organization:
- Design++: Danielle Griego, Dr. Aleksandra Anna Apolinarska, Erika Marthins
- Co-organised NCCR DFAB: Kaitlin McNally
Contact:
- external pageKaitlin McNally,
- external pageDr. Aleksandra Anna Apolinarska, (From 29 May - 22 June)