From Tool Agents To Flow Agents


Experts At The Table: AI is starting to impact several parts of the EDA design and verification flows, but so far these improvements are isolated to single tool or small flows provided by a single company. What is required is a digital twin of the development process itself on which AI can operate. Semiconductor Engineering sat down with a panel of experts to discuss these issues and others, in... » read more

New Ways To Improve EDA Productivity


EDA vendors are taking aim at new ways to improve the productivity of design and verification engineers, who are struggling to keep pace with exponential increases in chip complexity in tight time-to-market windows and with constrained engineering talent pipelines. In the past, progress often was as straightforward as improving algorithms or parallelizing computations in a linear flow. But w... » read more

Need For Speed Drives Targeted Testing


As packaging complexity increases and nodes shrink, defect detection becomes significantly more difficult. Engineers must contend with subtle variations introduced during fabrication and assembly without sacrificing throughput. New material stacks degrade signal-to-noise ratios, which makes metrology more difficult. At the same time, inspection systems face a more nuanced challenge — how t... » read more

AI Agents Need Goals


Experts At The Table: Definitions and goals matter when it comes to using AI effectively, and it has to be tightly reined in to be effective. Semiconductor Engineering sat down with a panel of experts to discuss these issues and others, including Johannes Stahl, senior director of product line management for the Systems Design Group at Synopsys; Michael Young, director of product marketing for ... » read more

Discovering Digital Twins: A Complete Guide


As artificial intelligence (AI) and machine learning (ML) continue to revolutionize industries, their integration with simulation is amplifying the capabilities of digital twins. AI/ML, simulation, and reduced-order modeling (ROM) technologies combine to create hybrid digital twins—virtual replicas that blend data-driven insights with the accuracy of physics-based models. This powerful approa... » read more

Digital Twins For Design And Verification Workflows


Experts At The Table: AI is starting to impact several parts of the EDA design and verification flows, but so far these improvements are isolated to a single tool or small flows provided by a single company. What is required is a digital twin of the development process itself, on which AI can operate. Semiconductor Engineering sat down with a panel of experts, including Johannes Stahl, senior d... » read more

The Digital Twin Technology Applied to 6G Communication


This paper provides a comprehensive overview of digital twin technology, starting with its definition as a dynamic virtual representation of physical systems. Furthermore, we distinguish between simulators and digital twins, highlighting their key differences and characteristics particularly related to the interactions with real-time data. The paper also delves into the evolution of digital ... » 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

Why Your Data Center Needs a Digital Twin


The global digital twin market is on a rapid ascent, projected to skyrocket from $11.51 billion in 2023 to $137.67 billion by 2030. Spanning industries from aerospace to healthcare, digital twins are becoming an essential tool for efficient management. But what is a digital twin? Essentially, it’s a digital replica of any real-world entity—a product, system, or process—used for simulation... » read more

How Software-Defined Vehicles Change Auto Chip Design


The shift to software-defined vehicles is changing nearly every aspect of automotive design, from what hardware is added into vehicles, when it gets added, and what gets left behind. Moving key features to software rather than hardware allows carmakers to bring new features to market faster, at a lower cost, and to modify those features more quickly. It is also expected to drive up the value... » read more

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