In this episode of Innovation By Design, Angelos Chronis explores the growing role of AI in architecture and urban design.

We talk about how neural networks and machine learning can accelerate simulations and expand what is practical to test during design, including daylighting and solar exposure studies.

We also dig into generative components and optimization workflows in tools like Grasshopper, including the use of genetic algorithms to search design options.

Finally, we touch on how creative AI tools such as Midjourney, along with new text and diagram workflows, are changing how designers ideate and communicate.

Angelos Chronis is an architect and researcher working at the intersection of computation, machine learning, and design, with a focus on using AI-enabled workflows to improve analysis, iteration speed, and environmental performance in architecture and urbanism.

• infrared.city website
• infrared.city team page
• Angelos Chronis on LinkedIn
• Angelos on Instagram
• Angelos on Google Scholar
• Wikipedia: Machine learning
• Wikipedia: Artificial intelligence
• Wikipedia: Artificial neural network
• Wikipedia: Generative design
• Scholarpedia: Genetic algorithm
• Wikipedia: Computational Fluid Dynamics (CFD)
• NASA CFD intro
• Wikipedia: Daylighting analysis
• Midjourney
• Wikipedia: Generative adversarial network