MIT-onderzoekers verbeteren AI voor CAD-ontwerpen door fouten als trainingsdata in te zetten

MIT researchers have created a framework that enhances artificial intelligence's ability to convert 2D images into usable CAD code for engineering designs. The system learns from its own errors to improve accuracy, addressing a major challenge in automating the design process where even minor mistakes can render models unusable.