All Posts
All Behind the Spec
This is some text inside of a div block.
News Article

Semiconductor Today | How AI and ML can save $38 billion for semiconductor manufacturers

Published on
December 20, 2021
Subscribe to newsletter
By subscribing you agree to with our Privacy Policy.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Today, increasing throughput is the number-one priority for semiconductor fabs, as they work to overcome the challenges of the global chip shortage.

Looking beyond throughput, there are significant opportunities for long-term cost savings from optimiz­ing, simplifying or removing processing steps. We ca II this approach EPCO - Equipment and Process Co-Opti­mization. It is a combination of good engineering and applying data-driven machine learning (ML) to the manufacturing process and equipment.

A 2021 paper by McKinsey argued that semiconduc­tor manufacturing optimization, using artificial intelli­gence (Al) and machine learning (ML), could save $38 billion, through improved yields and increased throughput.

Read the article

Read Full ArticleDownload resource