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

Battling Over Shrinking Physical Margin In Chips

By Ed Sperling - 31 Jul, 2023 - Comments: 0

Smaller process nodes, coupled with a continual quest to add more features into designs, are forcing chipmakers and systems companies to choose which design and manufacturing groups have access to a shrinking pool of technology margin. In the past margin largely was split between the foundries, which imposed highly restrictive design rules (RDRs) to compensate for uncertainties in new proces... » read more

Goals of Going Green

By Anne Meixner - 25 Jul, 2023 - Comments: 0

The chip industry is stepping up efforts to be seen as environmentally friendly, driven by growing pressure from customers and government regulations. Some manufacturers have been addressing sustainability challenges for more than a decade, but they are becoming more aggressive in their efforts, while others are joining them. A review of sustainability reports across the semiconductor indust... » read more

Smart Manufacturing Makes Gains In Chip Industry

By Anne Meixner - 15 Jun, 2023 - Comments: 0

Lights out manufacturing is gaining steam across the semiconductor industry, accelerating productivity, improving quality, and reducing costs and environment impact. These benefits are the result of years of strategic investments in technologies like machine-to-machine communication, data analytics, and robotics to achieve higher levels of autonomy. Semiconductor factories have long depen... » read more

Risks And Faults We Can Detect Using Machine Learning And Physics

By Tignis - 14 Jun, 2023 - Comments: 0

In its earliest form, technicians manually took condition status readings from individual pieces of equipment and used them to shape maintenance conclusions. Today, critical machine and system data can be streamed continuously, automatically, from industrial internet of things (IIoT) sensors for real-time analytics, diagnostics, and suggested actions. Click here to read more. » read more

Startup Funding: May 2022

By Jesse Allen - 06 Jun, 2022 - Comments: 0

May was another strong month for China as it continues its push to build a native semiconductor ecosystem. Over half the month's total funding went to startups in the country. Over half the companies funded were from China as well, including two FPGA companies, three making CPUs, a GPU startup, and numerous networking and wireless chip companies. Two of those, in FPGAs and CPUs, raised rounds s... » read more

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Knowledge Centers
Entities, people and technologies explored

Shift Left Is The Tip Of The Iceberg

A transformative change is underway for semiconductor design and EDA. New languages, models, and abstractions will need to be created.

by Brian Bailey

Partitioning In The Chiplet Era

Understanding how chiplets interact under different workloads is critical to ensuring signal integrity and optimal performance in heterogeneous designs.

by Ann Mutschler

3.5D: The Great Compromise

Pros and cons of a middle-ground chiplet assembly that combines 2.5D and 3D-IC.

by Ed Sperling

AI’s Role In Chip Design Widens, Drawing In New Startups

Focus is on letting engineers do much more with the same or fewer resources — and less drudgery.

by Karen Heyman

What Comes After HBM For Chiplets

The standard for high-bandwidth memory limits design freedom at many levels, but that is required for interoperability. What freedoms can be taken from other functions to make chiplets possible?

by Brian Bailey

Memory Fundamentals For Engineers

eBook: Nearly everything you need to know about memory, including detailed explanations of the different types of memory; how and where these are used today; what's changing, which memories are successful and which ones might be in the future; and the limitations of each memory type.

by The SE Staff

Why Small Fab And Assembly Houses Are Thriving

Megafabs churning out the most advanced processors are not the only game in town.

by Bryon Moyer

New AI Processors Architectures Balance Speed With Efficiency

Hot Chips 24: Large language models ratchet up pressure for sustainable computing and heterogeneous integration; data management becomes key differentiator.