Digital Twins: The Cloud’s The Limit


Key Takeaways Digital twins are gaining traction as a way of testing different options at every step of the design-through-manufacturing flow. AI can be used to glue together disparate data types in multi-physics simulations. The promise of digital twins is huge, but multiple challenges need to be solved before it can live up to its potential. Digital twin technology is draw... » read more

The Race Begins For Much Bigger Abstractions In Data Centers


Key Takeaways Data center build-out is enabling much larger and more complex abstractions. Competition is building for digital/virtual twins across multiple industry segments, including automotive, aerospace, and chip manufacturing. AI, and particularly AI agents, will play a significant role in sorting through data to find potential trouble spots. The frenzy of new data cen... » read more

Using Virtual Twins To Accelerate The Transition From Layout To Semiconductor Manufacturing


Standard electronic design automation (EDA) tools can be used to produce a semiconductor layout, which can be used to manufacture a device with targeted performance specifications. Unfortunately, designers have learned from experience that process capabilities on semiconductor manufacturing equipment can limit device yield and performance of any idealized device layout. Even though every... » read more

Virtual Twins: Layers Of Challenges


Virtual twins can provide deep insights into complex systems at any point in time, but creating them requires integrating a stack of abstractions that don't naturally go together. One abstraction may be mechanical, another electrical, and the data used to create those abstraction layers needs to be fused together logically and updated over time. David Fried, corporate vice president at Lam Rese... » read more

Distributing Intelligence Inside Multi-Die Assemblies


The shift from SoCs to multi-die assemblies requires more and smarter controllers to be distributed throughout a package in order to ensure optimal performance, signal integrity, and no downtime. In planar SoCs, many of these kinds of functions are often managed by a single CPU or MCU. But as logic increasingly is decomposed into chiplets, connected to each other and memories by TSVs, hybrid... » read more

Less Waste, Faster Results: Why Virtual Twins Are Critical To Future Semiconductor R&D


By Wojciech (Wojtek) Osowiecki, Martyn Coogans, Saravanapriyan Sriraman, Rakesh Ranjan, Yu (Joe) Lu, and David M. Fried The semiconductor industry has long depended on physical experimentation to achieve the precision needed for advanced chip manufacturing. However, this traditional method comes with significant environmental costs—high energy consumption, material waste, and greenhouse ga... » read more

AI Takes Aim At Chip Industry Workforce Training


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