tag: Tignis

AI Takes Aim At Chip Industry Workforce Training
By Liz Allan - 04 Apr, 2024 - Comments: 0

When all the planned fabs become operational, the semiconductor industry is likely to face a worker shortage of 100,000 each in the U.S. and Europe, and more than 200,000 in Asia-Pacific, according to a McKinsey report. Since the dawn of technology, people have worried that robots, automation, and AI will steal their jobs, but these tools also can be put to use to help fill the chip industry ta... » read more

Digital Twins Target IC Tool And Fab Efficiency
By Laura Peters - 21 Mar, 2024 - Comments: 0

Digital twins have emerged as the hot "new" semiconductor manufacturing technology, enabling fabs to create a virtual representation of a physical system on which to experiment and optimize what's going on inside the real fab. While digital twin technology has been in use for some time in other industries, its use has been limited in semiconductor manufacturing. What's changing is the breadt... » read more

Tackling Variability With AI-based Process Control
By Anne Meixner - 22 Feb, 2024 - Comments: 0

Jon Herlocker, co-founder and CEO of Tignis, sat down with Semiconductor Engineering to talk about how AI in advanced process control reduces equipment variability and corrects for process drift. What follows are excerpts of that conversation. SE: How is AI being used in semiconductor manufacturing and what will the impact be? Herlocker: AI is going to create a completely different factor... » read more

Pressure Builds On Failure Analysis Labs
By Laura Peters - 09 Jan, 2024 - Comments: 0

Failure analysis labs are becoming more fab-like, offering higher accuracy in locating failures and accelerating time-to-market of new devices. These labs historically have been used for deconstructing devices that failed during field use, known as return material authorizations (RMAs), but their role is expanding. They now are becoming instrumental in achieving first silicon and ramping yie... » read more

Fabs Begin Ramping Up Machine Learning
By Anne Meixner - 19 Dec, 2023 - Comments: 0

Fabs are beginning to deploy machine learning models to drill deep into complex processes, leveraging both vast compute power and significant advances in ML. All of this is necessary as dimensions shrink and complexity increases with new materials and structures, processes, and packaging options, and as demand for reliability increases. Building robust models requires training the algorithms... » read more

Transforming Semiconductor Manufacturing: How AI And ML Boost Productivity And Beat The Skill Shortage
By David Park - 16 Nov, 2023 - Comments: 0

In the fast-paced world of semiconductor manufacturing, where innovation and efficiency are essential, there is a serious challenge – the persistent skilled labor shortage. As evident by billboards looking for workers along major highways, this shortage is not just a concern but a pressing reality. Semiconductor manufacturers in the United States face a multifaceted problem—tightened... » read more

AI Process Control Platform Enabling Next Generation Technology, Part 2
By Tignis - 18 Oct, 2023 - Comments: 0

As feature dimensions in semiconductors continue to shrink and worldwide demand continues to expand, semiconductor equipment manufacturers need innovative ways to compete and deliver. The Tignis PAICe Maker physics-driven AI computational modeling platform accelerates leading-edge semiconductor manufacturing—from equipment R&D to reliable high-yield chip fabrication capability. Tignis sup... » read more

When And Where To Implement AI/ML In Fabs
By Anne Meixner - 21 Sep, 2023 - Comments: 0

Deciphering complex interactions between variables is where machine learning and deep learning shine, but figuring out exactly how ML-based systems will be most useful is the job of engineers. The challenge is in pairing their domain expertise with available ML tools to maximize the value of both. This depends on sufficient quantities of good data, highly optimized algorithms, and proper tra... » read more

Securing Chip Manufacturing Against Growing Cyber Threats
By Anne Meixner - 17 Aug, 2023 - Comments: 0

Semiconductor manufacturers are wrestling with how to secure a highly specialized and diverse global supply chain, particularly as the value of their IP and their dependence upon software increases — along with the sophistication and resources of the attackers. Where methodologies and standards do exist for security, they often are confusing, cumbersome, and incomplete. There are plenty of... » read more

AI Process Control Platform Enabling Next Generation Technology
By Tignis - 16 Aug, 2023 - Comments: 0

PAICe Monitor delivers AI and machine learning-enabled analytics for all stages of the semiconductor fabrication process lifecycle — from process development and ramp readiness, to high volume production. Leveraging Tignis’ Digital Twin Query Language, PAICe Monitor enables process engineers to transform in-product fault diagnoses into continuous real-time monitoring—greatly improving ... » read more

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