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Guest Editorial Process-Level Machine Learning Applications in Semiconductor Manufacturing.

Authors :
Susto, Gian Antonio
Diebold, Alain
Kyek, Andreas
Lee, Chia-Yen
Patel, Nital S.
Source :
IEEE Transactions on Semiconductor Manufacturing. May2022, Vol. 35 Issue 2, p155-157. 3p.
Publication Year :
2022

Abstract

The constantly increasing availability of data, the rapid expansion in computational and storage capacities of information technology systems, and algorithmic advances in Machine Learning (ML) and Artificial Intelligence (AI) are making a huge impact in the manufacturing industry for improving efficiency, operations and throughput. The semiconductor industry, being one of the most data-intensive industries, has seen the diffusion of several ML-based technologies in recent years. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08946507
Volume :
35
Issue :
2
Database :
Academic Search Index
Journal :
IEEE Transactions on Semiconductor Manufacturing
Publication Type :
Academic Journal
Accession number :
156741952
Full Text :
https://doi.org/10.1109/TSM.2022.3167798