tag: models

Change Is Tough
By Brian Bailey - 13 Jul, 2026 - Comments: 1

When I was actively involved in the creation of standards for the EDA and semiconductor industry, it was often joked that the great thing about standards is that there are plenty to choose from. According to the Internet, this quote can either be attributed to Grace Murray Hopper (an incredible pioneer in the development of modern programming languages and a rear admiral in the Navy), or Andrew... » read more

An AI Model Fit For Purpose
By Brian Bailey - 09 Jul, 2026 - Comments: 0

Key takeaways A model can only be used for its intended purpose, in a defined context, without taking unknown risks.  Models must be created using a well-defined process and verified in a way that provides a level of independence.  Deployment requires trust and a way to track the properties of the model. A model captures some kind of behavior exhibited in the real world, b... » read more

Beyond Ideal Crystals: The Case For Scale In Atomistic Modeling
By Anders Blom - 21 May, 2026 - Comments: 0

Almost all computer simulations face the same trade-off: larger models can be more realistic and therefore more useful, but they also take longer to run. Engineers and scientists are therefore faced with an almost daily challenge of choosing a model that is detailed enough to capture the important details without making the calculation impractically expensive. "All models are wrong, but some... » read more

All Models Are Wrong, But Some Are Useful: Lessons From Everyday Life
By Andrea Battistella - 08 Jan, 2026 - Comments: 0

Have you ever checked a weather forecast, packed an umbrella, and then spent the day under clear blue skies? Or trusted your navigation app to save time, only to end up stuck behind a tractor? These moments are frustrating—but they illustrate a fundamental truth: All models are wrong, but some are useful. This principle, coined by statistician George Box, applies everywhere—from predi... » read more

AI Plays Multiple Roles Within EDA
By Brian Bailey - 25 Nov, 2025 - Comments: 0

AI's infusion into our world may seem sudden and unexpected, but EDA has been quietly adopting it for more than a decade. What's changed is that it's now becoming more visible, thanks to increasingly powerful large language models (LLMs) and the need to apply them to increasingly challenging multi-physics problems. Two fundamental shifts underlie AI's increasing prominence. First, heat is be... » read more

AI Meets Device Modeling: Transforming Compact Modeling With Machine Learning
By Yiao Li - 28 Aug, 2025 - Comments: 1

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure reliable circuit simulation and design. Correspondingly, these accuracy requirements raise demands on the accuracy and efficiency of device modeling. Modern device models often involve hundreds o... » read more

A Survey Of Digital Twins and Other Prototyping Technologies for Vehicles
By Technical Paper Link - 26 Apr, 2025 - Comments: 0

A new technical paper titled "Digital Twin Technologies for Vehicular Prototyping: A Survey" was published by researchers at Central Michigan University and University of Florida. Abstract "Digital Twin (DT) technology is widely regarded as one of the most promising tools for industry development, demonstrating substantial application across numerous cyber-physical systems. Gradually, this ... » read more

Aging, Complexity, And AI In Analog Design
By Ed Sperling - 27 Nov, 2024 - Comments: 0

Experts at the Table: Semiconductor Engineering sat down to discuss abstraction in analog vs. digital, how analog circuits age, the growing role of AI, and why there is so much margin in analog designs, with Mo Faisal, president and CEO of Movellus; Hany Elhak, executive director of product management at Synopsys; Cedric Pujol, product manager at Keysight; and Pradeep Thiagarajan, principal pro... » read more

Can Models Created With AI Be Trusted?
By Brian Bailey - 06 May, 2024 - Comments: 0

EDA models that are created using AI need to pass more stringent quality and cost benefit analysis compared to many AI applications in the broader industry. Money is hanging on the line if AI gets it wrong, and all the associated costs must be factored into the equation. Models are some of the most expensive things a development team can create, and it is important to understand the value th... » read more

System State Challenges Widen
By Brian Bailey - 30 Nov, 2023 - Comments: 0

Knowing the state of a system is essential for many analysis and debug tasks, but it's becoming more difficult in heterogeneous systems that are crammed with an increasing array of features. There is a limit as to how many things engineers can keep track of, and the complexity of today's systems extends far beyond that. Hierarchy and abstraction are used to help focus on the important aspect... » read more

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