Artificial Intelligence (AI) Standards and QA in Semiconductor Manufacturing

Artificial Intelligence (AI) is revolutionizing semiconductor manufacturing with enhanced efficiency, quality, and fault detection. However, with the widespread application of AI, industry-standard practices are required to ensure reliability, transparency, and compliance. This paper discusses AI's role in semiconductor quality control, the need for strict standards, and manufacturing implementation issues. It explores cutting-edge applications, including federated learning, explainable AI (XAI), and simulation-based fault detection. Lastly, it provides an overview of AI standard development for semiconductor manufacturing.

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Publication Details

Published
2025-05-05
DOI
https://doi.org/10.1109/cai64502.2025.00252
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
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article

Artificial Intelligence (AI) Standards and QA in Semiconductor Manufacturing

Ram Chandra Palsaniya
Industrial Vision Systems and Defect Detection
article

Artificial Intelligence (AI) Standards and QA in Semiconductor Manufacturing

Ram Chandra Palsaniya
article en

Abstract

Artificial Intelligence (AI) is revolutionizing semiconductor manufacturing with enhanced efficiency, quality, and fault detection. However, with the widespread application of AI, industry-standard practices are required to ensure reliability, transparency, and compliance. This paper discusses AI's role in semiconductor quality control, the need for strict standards, and manufacturing implementation issues. It explores cutting-edge applications, including federated learning, explainable AI (XAI), and simulation-based fault detection. Lastly, it provides an overview of AI standard development for semiconductor manufacturing.

Industry, innovation and infrastructure
Openalex Percentile: Top 77%
Industrial Vision Systems and Defect Detection
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Artificial Intelligence (AI) Standards and QA in Semiconductor Manufacturing — Ram Chandra Palsaniya · (2025) | TGRS Research Map | TGRS