tag: machine learning

Chiplets: Bridging The Gap Between The System Requirements And Design Aggregation, Planning, And Optimization
By Technical Paper Link - 14 Jun, 2023 - Comments: 0

A technical paper titled “System and Design Technology Co-optimization of Chiplet-based AI Accelerator with Machine Learning” was published by researchers at Auburn University. Abstract: "With the availability of advanced packaging technology and its attractive features, the chiplet-based architecture has gained traction among chip designers. The large design space and the lack of sys... » read more

CEO Outlook: Chiplets, Data Management, And Reliability
By Ed Sperling - 14 Jun, 2023 - Comments: 0

Semiconductor Engineering sat down to talk about changes in chip design with Joseph Sawicki, executive vice president for IC EDA at Siemens Digital Industries Software; John Kibarian, president and CEO of PDF Solutions; John Lee, general manager and vice president of Ansys' Semiconductor Business Unit; Niels Faché, vice president and general manager of PathWave Software Solutions at Keysight; ... » 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

Striking A Balance In Acoustic Inspection
By Ed Sperling - 12 Jun, 2023 - Comments: 0

Sound energy is a quick way to to spot voids, delamination, cracks, and other possible defects that are accessible from outside the chip or package, as well as some defects that are inside of chips. But acoustic inspection also is highly sensitive to different materials with different polarities, which can change the reflection of sound waves. Bill Zuckerman, product marketing manager at Nordso... » read more

Full Wafer OCD Metrology
By Nova - 06 Jun, 2023 - Comments: 0

Authored by: Daniel Doutt*a, Ping-ju Chena, Bhargava Ravooria, Tuyen K. Trana, Eitan Rothsteinb, Nir Kampelb, Lilach Tamamb, Effi Aboodyb, Avron Gerb, Harindra Vedalac ABSTRACT Optical Critical Dimension (OCD) spectroscopy is a reliable, non-destructive, and high-throughput measurement technique for metrology and process control that is widely used in semiconductor fabrication facilities (f... » read more

Welcome To EDA 4.0 And The AI-Driven Revolution
By Dan Yu - 01 Jun, 2023 - Comments: 1

By Dan Yu, Harry Foster, and Tom Fitzpatrick Welcome to the era of EDA 4.0, where we are witnessing a revolutionary transformation in electronic design automation driven by the power of artificial intelligence. The history of EDA can be delineated into distinct periods marked by significant technological advancements that have propelled faster design iterations, improved productivity, and fu... » read more

Security Becomes Much Bigger Issue For AI/ML Chips, Tools
By Lou Covey - 01 Jun, 2023 - Comments: 0

Security is becoming a bigger issue in AI and machine learning chips, in part because the chip industry is racing just to get new devices working, and in part because it's difficult to secure a new technology that is expected to adapt over time. And unlike in the past, when tools and methodologies were relatively fixed, nearly everything is in motion. Algorithms are being changed, EDA tools ... » read more

The Impact Of ML On Chip Design
By Ed Sperling - 22 May, 2023 - Comments: 0

Node scaling and rising complexity are increasing the time it takes to get chips out the door. At the same time, design teams are not getting larger. What is needed is a way to automate the creative process, and to not have to start every design from scratch. This is where reinforcement learning fits in, with its ability to centralize and store “tribal knowledge. Thomas Andersen, vice preside... » read more

Managing Water Supplies With Machine Learning
By Katherine Derbyshire - 18 May, 2023 - Comments: 0

From wet benches to cooling systems, fabs use vast amounts of water — millions of gallons per day at a typical foundry. In this era of climate change, though, water supplies are becoming less reliable and municipal water systems are becoming more restrictive. For example, local utilities might restrict a fab’s ability to draw from the public water supply, or might supply only treated wastew... » read more

GDDR6 Delivers The Performance For AI/ML Inference
By Frank Ferro - 15 May, 2023 - Comments: 0

AI/ML is evolving at a lightning pace. Not a week goes by right now without some new and exciting developments in the field, and applications like ChatGPT have brought generative AI capabilities firmly to the forefront of public attention. AI/ML is really two applications: training and inference. Each relies on memory performance, and each has a unique set of requirements that drive the choi... » read more

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