Generative Design

Generative design leverages artificial intelligence to automate the creation of diverse design options that meet specified criteria, accelerating and improving the design process across various fields. Current research emphasizes the use of deep learning models, including diffusion probabilistic models, variational autoencoders, generative adversarial networks, and transformers, to generate designs in domains ranging from aerodynamics and robotics to architecture and materials science. This approach significantly reduces design time and exploration costs, leading to more innovative and efficient solutions in engineering, architecture, and other design-intensive disciplines.