The Role of Artificial Intelligence in Transforming VLSI Design, Testing, and Manufacturing
This paper discussed the revolutionary potential of Artificial Intelligence (AI) in revolutionizing Very Large Scale Integration (VLSI) technology. By integrating AI methods, including machine learning and reinforcement learning, organically into VLSI processes, the semiconductor technology has addressed age-old issues such as power-performance-area (PPA) optimization, fault detection, and yield prediction. The article showcases actual business case studies of industry leaders like Synopsys, Cadence, NVIDIA, TSMC, and Cerebras Systems, demonstrating how AI has enhanced productivity, reduced complexity, and driven innovation in design, verification, and manufacturing. Concluding on future directions, the paper underlines the pivotal role of AI in designing the future generation of semiconductor technologies, placing it firmly as a cornerstone of modern electronics.
Authors
- Antora Dev (ORCID: https://orcid.org/0000-0002-1968-9368)
- Steve C. Chiu (ORCID: https://orcid.org/0000-0001-9092-9937)
- Mostafa M. Fouda (ORCID: https://orcid.org/0000-0003-1790-8640)
Institutions
- Idaho State University (US)
Publication Details
- Published
- 2025-05-09
- DOI
- https://doi.org/10.1109/ietc64455.2025.11039475
- Primary Topic
- Manufacturing Process and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00