Technology Mapping

Technology mapping addresses the crucial challenge of translating abstract circuit designs into physical implementations using available hardware components. Current research focuses on optimizing this process, particularly through the application of machine learning techniques like reinforcement learning to intelligently select components and reduce the computational complexity of the mapping process, leading to improved circuit performance and efficiency. This optimization is vital for advancements in integrated circuit design and also extends to broader applications, such as mapping the complex interdependencies of technologies within Industry 4.0, revealing key technological clusters and guiding future research directions in this rapidly evolving field.