This research introduces Boundary Representation Transformer (BRT), a novel adaptation of transformer architecture specifically designed for computer-aided design applications.

• Bridges the gap between transformer networks and CAD by processing complex boundary representation (B-rep) models
• Enables AI-powered design capabilities previously limited to text and image domains
• Creates new possibilities for automated design optimization and generation
• Represents one of the first applications of transformer technology to engineering design workflows

This innovation matters for engineering because it lays the groundwork for next-generation CAD tools that can understand and generate complex 3D models with the same fluency that current AI systems handle language and images.

Boundary representation learning via Transformer