Guest Editorial Special Section on Production-Level Artificial Intelligence Applications in Semiconductor Manufacturing

John W. Fowler, Karl Kempf, Lars Monch

Research output: Contribution to journalReview articlepeer-review

Abstract

The increasing availability of data, advances in computational and storage capacities of IT systems, and algorithmic advances in Artificial Intelligence (AI), especially Machine Learning (ML) combine to enable significant improvements in the efficiency, operations and throughput of manufacturing systems at the production level. The semiconductor industry is one of the most data-intensive industries and has seen increased use of AI-based technologies over the last few years. In order to develop effective AI-based technologies in the semiconductor manufacturing industry several issues have to be taken into account, including scalability, heterogeneity of data, and the need for interpretability.

Original languageEnglish (US)
Pages (from-to)558-559
Number of pages2
JournalIEEE Transactions on Semiconductor Manufacturing
Volume36
Issue number4
DOIs
StatePublished - Nov 1 2023

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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