AI-Driven EDA Tools: How Machine Learning is Transforming VLSI Design Flow
The complexity of modern chip design has reached unprecedented levels, pushing the boundaries of traditional Electronic Design Automation (EDA) tools. With shrinking process nodes, increasing transistor counts, and tight power-performance- area (PPA) constraints, designers face growing challenges in achieving first-time silicon success. To address these demands, the VLSI industry is turning to Artificial Intelligence (AI) and Machine Learning (ML) — technologies that are redefining how design automation is approached across the entire VLSI design flow.
Latest Blogs
Embrace Industrial Digital Transformation: The Power of the Digital Threads.
Common Challenges in Designing Low-Power VLSI Circuits
How to Learn VLSI from Scratch.