Accelerated discovery for a sustainable semiconductor industry

This talk will cover some examples of how IBM Research is applying AI technologies, particularly large language models and multi-modal foundation models, to help the semiconductor industry address key sustainability challenges and ensure a sustainable future for computing, with an emphasis on driving the development and adoption of safer and more sustainable chemistries and processes.

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Publication Details

Published
2025-04-22
DOI
https://doi.org/10.1117/12.3051173
Primary Topic
University-Industry-Government Innovation Models
Type
article
Field-Weighted Citation Impact
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article

Accelerated discovery for a sustainable semiconductor industry

Daniel P. Sanders
University-Industry-Government Innovation Models
article

Accelerated discovery for a sustainable semiconductor industry

Daniel P. Sanders
article en

Abstract

This talk will cover some examples of how IBM Research is applying AI technologies, particularly large language models and multi-modal foundation models, to help the semiconductor industry address key sustainability challenges and ensure a sustainable future for computing, with an emphasis on driving the development and adoption of safer and more sustainable chemistries and processes.

IBM Research - Almaden (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 89%
University-Industry-Government Innovation Models
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Accelerated discovery for a sustainable semiconductor industry — Daniel P. Sanders · (2025) | TGRS Research Map | TGRS