tag: semiconductor manufacturing

CHIPS For America’s National Semiconductor Technology Center (NSTC) Program
By Barry Pangrle - 03 Jul, 2024 - Comments: 0

At this year’s Design Automation Conference, Jay Lewis, director of CHIPS for America National Semiconductor Technology Center (NSTC) Program, gave a presentation on the status and direction of the Center, its priorities for this year and how the NSTC can change the long-term trajectory for innovation. Fig. 1: Dr. Jay Lewis, director of NSTC Program, CHIPS R&D Office at the Dept. o... » read more

Cyber Threats To The SECS/GEM Protocol In Smart Manufacturing
By Yenting Lee - 02 Jul, 2024 - Comments: 0

Semiconductors are an indispensable part of modern electronic products and are also a fundamental basis for the development of the AI industry. This industry is crucial for global economic growth and national security. As the semiconductor industry transitions to Industry 4.0, the connection between production equipment and factory networks has expanded the attack surface, providing adversaries... » read more

Making Adaptive Test Work Better
By Ed Sperling - 10 Jun, 2024 - Comments: 0

One of the big challenges for IC test is making sense of mountains of data, a direct result of more features being packed onto a single die, or multiple chiplets being assembled into an advanced package. Collecting all that data through various agents and building models on the tester no longer makes sense for a couple reasons — there is too much data, and there are multiple customers using t... » read more

TSMC Uncorks A16 With Super Power Rail
By Barry Pangrle - 25 Apr, 2024 - Comments: 0

TSMC showed off its forthcoming A16 process technology node, targeted for the second half of 2026, at its 30th North American Technology Symposium this week. As the foundry moves from nanometer to angstrom process numbering, the new nodes will be prefixed with an “A” designation (instead of “N”) and A16 is the first for TSMC. TSMC said that N2 is still tracking to a 2025 production s... » read more

Deep Learning (DL) Applications In Photomask To Wafer Semiconductor Manufacturing
By eBeam Initiative - 17 Apr, 2024 - Comments: 0

How Advantest Corporation, ASML, Fraunhofer, imec, Siemens EDA and others are using deep learning in semiconductor manufacturing. Click here to read more. » read more

Navigating Design Challenges
By Siemens EDA - 28 Mar, 2024 - Comments: 0

Explore the future of IC design with the Calibre Shift left initiative. In this paper, author David Abercrombie reveals how Siemens is changing the game for block/chip design-stage verification by moving Calibre verification and reliability analysis solutions further left in the design flow, including directly inside your P&R tool cockpit. Discover how you can reduce traditional long-loop v... » read more

Environmental Impact of Semiconductor Manufacturing (ORNL)
By Technical Paper Link - 15 Mar, 2024 - Comments: 0

A  technical paper titled "Cleaner Chips: Decarbonization in Semiconductor Manufacturing" was published by researchers at Oak Ridge National Laboratory (ORNL) / UT-Battelle. Abstract: "The growth of the information and communication technology sector has vastly accelerated in recent decades because of advancements in digitalization and Artificial Intelligence (AI). Scope 1, 2, and 3 gree... » read more

AI/ML Challenges In Test and Metrology
By Gregory Haley - 12 Mar, 2024 - Comments: 0

The integration of artificial intelligence and machine learning (AI/ML) into semiconductor test and metrology is redefining the landscape for chip fabrication, which will be essential at advanced nodes and in increasingly dense advanced packages. Fabs today are inundated by vast amounts of data collected across multiple manufacturing processes, and AI/ML solutions are viewed as essential for... » read more

Integrating Digital Twins In Semiconductor Operations
By Mark da Silva - 22 Feb, 2024 - Comments: 0

By Mark da Silva, Nishita Rao and Karim Somani Chipmakers must adopt transformative technologies including Digital Twins (DT) to keep pace with unprecedented global semiconductor industry growth that is expected to drive its total market value to $1 trillion[1] as soon as 2030. Leveraging predictive modeling and other efficiency-enhancing innovations, DTs promise to optimize semiconductor d... » 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

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