Intro to AI for Architectural Design Explorations

Description:

Key Words: AI,ML,AI ART,Generative Design with AI

Required Skills: Optional Python, Rhino

Required Software: Google Account, Rhino

Required Hardware: PC / Mac

Maximum number of participating students: 10

This workshop covers basics of AI with a focus on its deployment for architectural design explorations. The workshop encompasses Human-AI collaboration for exploring ideas which will develop intuition for creative AI output. The participants will be exposed to cutting edge AI models and workflows for design development. The workshop will cover AI models including Style Transfer for image-image translation , GAN for image generation, CLIP for image to text generation and VQGAN+CLIP for text to image generation.

Schedule:

Jun 28 - Jun 30

Day 1 / Jun 28

8:00 - 10:00 (GMT+5:30) India
|
22:30 - 00:30 -1 (EST)
|
04:30 - 06:30 (CET)
|
10:30 - 12:30 (China)

(1 hr) Daniel Escobar : Intro to AI and architecture design applications + (1hr) Mayur Mistry : Hands-on Style Transfer
Day 2 / Jun 29

8:00 - 10:00 (GMT+5:30) India
|
22:30 - 00:30 -1 (EST)
|
04:30 - 06:30 (CET)
|
10:30 - 12:30 (China)

(30 mins) Pedro Veloso : Generative Design Applications with AI + (30 mins) Mayur Mistry : Basics of CLIP and GAN + (1 hr) Daniel Escobar : Hands-on CLIP
Day 3 / Jun 29

8:00 - 10:00 (GMT+5:30) India
|
22:30 - 00:30 -1 (EST)
|
04:30 - 06:30 (CET)
|
10:30 - 12:30 (China)

(1hr ) Daniel Escobar : Multimodal AI and CLIP + VQGAN + (1 hr) Mayur Mistry : Hands-on CLIP+VQGAN
Day 4 / Jun 30

8:00 - 10:00 (GMT+5:30) India
|
22:30 - 00:30 -1 (EST)
|
04:30 - 06:30 (CET)
|
10:30 - 12:30 (China)

Students Presentations + Discussion

Instructors:

Mayur Mistry mm,Digital Innovation

AI-AEC Technology Activist + Algorithmic Thinker | Digital Innovation Intern @ Perkins & Will | PM @ Illinois Solar Decathlon | Podcaster | U of I '21 | IITB | Aspiring 'Superuser'
DANIEL ESCOBAR OLA.Research,Architectural Researcher & Designer

Architecture practitioner in New York with experience in working on a range of project scales from architectural installations to education facilities, multifamily and mixed use. Interested in the development and potential of emerging technologies and the use of big data with machine learning in creative design. Also with a focus on the application of these methods and how they can help us understand the built environment and improve upon it.