The Limits Of AI’s Role In EDA Tools


The world has been inspired by generative AI models like ChatGPT. These are very applicable to things like copilots and agentic AI, but the adoption of these models into EDA tools is less obvious. What may be appropriate, and can AI make EDA tools faster or better? EDA has been enabling Moore's Law for the past 40 years, and that has required pushing the limits of many of the algorithms and ... » read more

Overview of Incorporating LLMs into EDA, With 3 Case Studies (TU Munich et al.)


A new technical paper titled "Large Language Models (LLMs) for Electronic Design Automation (EDA)" was published by researchers at the Technical University of Munich, University of Stuttgart, New York University, and University of Siegen. Abstract "With the growing complexity of modern integrated circuits, hardware engineers are required to devote more effort to the full design-to-manufactu... » read more

3D-ICs In The Automotive Market: Breaking Barriers With AI-Driven EDA Tools


The automotive industry is experiencing a significant transformation as it adopts innovations like autonomous driving technologies and ultra-connected ecosystems. At the core of this change is a rising demand for compact, high-performance semiconductor solutions that can handle the increasing complexity of modern vehicle architecture. One promising development is three-dimensional integrated ci... » read more

Calibre 3DStress: Advanced Stress Analysis For Reliable 3D IC Design


As the industry transitions toward advanced 3D IC architectures and heterogeneous integration, managing thermo-mechanical stress is essential for product quality and long-term reliability. Calibre 3DStress enables design and packaging teams to simulate, analyze and disposition stresses imparted on the chip during or after the packaging process, ensuring that potential failure risks—such as wa... » read more

AI’s Value In Chip Design Depends On Data Availability


Experts at the Table: Semiconductor Engineering sat down to discuss the advantages and challenges in using AI in designing chips, with Chuck Alpert, Cadence Fellow; Sathish Balasubramanian, head of product marketing and senior director for custom IC at Siemens EDA; Anand Thiruvengadam, senior director and head of AI product management at Synopsys; Sailesh Kumar, CEO of Baya Systems; Mehir ... » read more

Verification Fails To Keep Up


Experts at the table: Semiconductor Engineering sat down to discuss the state of functional verification with Mohan Dhene, director for architecture and design at Alphawave Semi; Andy Nightingale, vice president for product management and marketing at Arteris; Dinesha Rao, senior group director for software engineering at Cadence; Chris Mueth, new opportunities business manager at Keysight; Gor... » read more

Best Options For Using AI In Chip Design


Experts at the Table: Semiconductor Engineering sat down to discuss how and where AI can be applied to chip design to maximize its value, and how that will impact the design process, with Chuck Alpert, Cadence Fellow; Sathish Balasubramanian, head of product marketing and senior director for custom IC at Siemens EDA; Anand Thiruvengadam, senior director and head of AI product management at S... » read more

Re-Architecting AI For Power


The industry is becoming increasingly concerned about the amount of power being consumed by AI, but there is no simple solution to the problem. It requires a deep understanding of the application, the software and hardware architectures at both the semiconductor and system levels, and how all of this is designed and implemented. Each piece plays a role in the total power consumed and the utilit... » read more

Reliable Training Data Paramount To AI Model Success


AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is reliable, secure, and which is generated from trusted sources. AI activity is growing exponentially, as everybody tries to figure out how to apply it to their domain, application, or workload. In ... » read more

Agentic AI: Lots Of Little Black Boxes


AI is changing so quickly that it's not always clear how much of a security threat it poses for semiconductor design, and that uncertainty increases as AI agents are introduced into the mix. So far, the use of AI in chip design has been highly targeted. Most of what is included in design tools is some version of machine learning, bounded by tight control loops. EDA and IP vendors, large chip... » read more

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