Artificial intelligence (AI) is transforming the way architects and designers bring their concepts to life. One of the latest advancements in this field is the use of AI text-to-image generators, such as Stable diffusion, to generate visual concepts for a variety of projects. The aim of this project is to explore how Stable diffusion was used to generate visual concepts for a treehouse in the forest, and why AI is proving to be such a useful tool for architects and designers in the conceptualization stage. Stable diffusion is an AI text-to-image generator that can be used to create detailed and accurate images from a simple text description. This technology allows architects and designers to bring their concepts to life with unparalleled detail and accuracy, providing them with a powerful tool to visualize unprecedented ideas in such a short time.

The effects of AI on society are not just limited to the workplace. Recently, there has been a lot of talk about how AI will affect our social interactions and how we create and experience social spaces. AI-driven architecture for social spaces presents us with new opportunities as well as challenges. In his work, Babar Kasam Cazir explores the implications of how artificial intelligence could change socioeconomic dynamics - specifically in event spaces - through its ability to analyze patterns at scale. Cazir is a prominent Moorish American architect who has spent many years working in and around the entertainment and hospitality industry as the founder of AV hospitality, a casting associate at Sony Pictures, a brand ambassador at Armand de Brignac, and an event organizer.

Last month aec tech invited industry-leading design technologists, data scientists, and machine learning (ML) experts to discuss the applications of machine learning and artificial intelligence in architecture, engineering and construction (AEC) today and towards the future. Machine learning is a branch of AI -- artificial intelligence -- that focuses on using data and algorithms to mimic human learning and improve its accuracy over time. Read below to learn more about our speakers and their work, in addition to a summary of the discussion. Leland Curtis is the former Co-Lead of Computational Design at SmithGroup. Leland implements Machine Learning into his design process through one application of ML called surrogate modeling.

Dr. Goertzel has published 20 scientific books and 140 scientific research papers and is the leading architect and designer of the OpenCog system and associated design for human-level general intelli… (show all) Dr. Goertzel has published 20 scientific books and 140 scientific research papers and is the leading architect and designer of the OpenCog system and associated design for human-level general intelligence. Goertzel co-authored "Artificial General Intelligence," published in 2002 by Springer Publishing. He is also the chair of the Artificial General Intelligence (AGI) conference series, advisor to Singularity University and former Director of Research of the Machine Intelligence Research Institute (formerly the Singularity Institute). He also served as Chief Scientist Officer for Hanson Robotics until early 2019.