This second-year graduate-level course examines challenges facing traditional VLSI methodologies due to increasing design complexity and scale. The course explores how artificial intelligence (AI), machine learning (ML), and deep learning (DL) are revolutionizing physical design automation. Industrial white papers, case studies, and real-world examples are analyzed.
Semester Offered
Course Component