This paper focuses on exploring the application possibilities and optimization problems of Generative Adversarial Networks (GANs) in spatial computing to improve design efficiency and creativity and ...

Symbolic Regression holds great potential for uncovering underlying mathematical and physical relationships from observed data. However, the vast combinatorial space of possible expressions poses ...

Have you ever thought about how and why something was designed? Who was considered a “stakeholder” for the design? And what biases are baked within the process of designing something? These are some ...