International Journal on Science and Technology

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Scaling use of Machine Learning & Artificial Intelligence in Semiconductor Industry

Author(s) Manish Kumar Keshri
Country United States
Abstract The semiconductor industry stands at a technological inflection point where artificial intelligence and machine learning offer transformative potential across the entire value chain. This article examines the strategic implementation of AI/ML technologies throughout semiconductor design, manufacturing, quality control, and supply chain operations. Drawing from industry experience spanning multiple semiconductor sectors, it explores how intelligent systems optimize chip design processes, enhance fabrication yields, revolutionize defect detection methodologies, and create resilient supply networks. While acknowledging implementation challenges related to data infrastructure, computational requirements, and specialized talent acquisition, integrating these advanced technologies presents a clear pathway toward addressing modern semiconductor development and production's increasing complexity and performance demands.
Keywords Keywords: Semiconductor Manufacturing, Machine Learning Optimization, AI-driven Design Automation, Intelligent Defect Detection, Predictive Yield Management.
Field Computer
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-29
Cite This Scaling use of Machine Learning & Artificial Intelligence in Semiconductor Industry - Manish Kumar Keshri - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2973
DOI https://doi.org/10.71097/IJSAT.v16.i1.2973
Short DOI https://doi.org/g899g3
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