LEARNING-BASED OPTIMIZATION OF DIGITAL HARDWARE: AI METHODS FOR SYNTHESIS, PHYSICAL DESIGN, AND VERIFICATION
Abstract The increasing complexity of digital systems has made hardware optimization a learning problem as much as an algorithmic one. Conventional electronic design automation (EDA) flows depend on manually engineered heuristics that may not generalize across architectures, workloads, and technology nodes. This journa...