Transforming VLSI Design with AI: Pioneering the Future of Chip Technology

Anu Jyothy*, Amalda Therese John**
*-** Department of Electronics and Communication Engineering, St Joseph's College of Engineering and Technology, Palai, Kottayam, Kerala, India.
Periodicity:January - June'2025
DOI : https://doi.org/10.26634/ijwt.14.1.21858

Abstract

The use of Artificial Intelligence (AI) in VLSI design has greatly improved the design process. AI techniques like machine learning, deep learning, and neural networks can be applied to various tasks such as optimization, placement, routing, and verification. The implementation of these techniques can enhance the efficiency and accuracy of products while reducing the amount of manual labor required and the design time. AI tools can also identify faults and suggest solutions effectively. The major benefit of AI is its ability to analyze vast amounts of data. Machine Learning algorithms are used for this purpose. Different AI techniques are used for processes like logic design, logic synthesis, physical design and fabrication. This paper examines the challenges of the VLSI design process and the impact of AI on it. This paper explores the AI/ML techniques and tools used in VLSI design, as well as the evolution of AI in this field. Additionally, it discusses the challenges faced in integrating AI into VLSI design.

Keywords

Artificial Intelligence, Machine Learning, VLSI, AI Techniques, ML Algorithms, CAD Tools.

How to Cite this Article?

Jyothy, A., and John, A. T. (2025). Transforming VLSI Design with AI: Pioneering the Future of Chip Technology. International Journal of Web Technology, 14(1), 41-51. https://doi.org/10.26634/ijwt.14.1.21858

References

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[36]. Sait, S. M., & Youssef, H. (1999). VLSI Physical Design Automation: Theory and Practice (Vol. 6). World Scientific.
[39]. Sherwani, N. A. (1998). Algorithms for VLSI Physica Design Automation. Springer.
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