The Growing Need For Collaboration Across The Semiconductor Industry


Abstract: AI-driven collaboration is becoming essential for the semiconductor industry to manage its increasingly complex global supply chain. This new model facilitates real-time data sharing and multi-party orchestration, moving beyond conventional, crisis-driven interactions. By leveraging a secure data infrastructure, automated orchestration, and AI agents, companies can automate busines... » read more

AI Plays Multiple Roles Within EDA


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-Driven Collaboration In Chip Manufacturing


3D chips and multi-die assemblies can offer significant improvements in performance and power, but the tradeoff is the increased amount of time and money it takes to generate working silicon. There are more process steps, more interactions between processes, and more data to manage throughout the manufacturing flow — so much, in fact, that it has now reached well beyond what even the best eng... » read more

Edge AI Safety: Agentic AI Architecture That Leverages 3D To Integrate A Dedicated Safety Layer (Princeton, HKUST, NC State Univ.)


A new technical paper titled "3D Guard-Layer: An Integrated Agentic AI Safety System for Edge Artificial Intelligence" was published by researchers at Princeton University, Hong Kong University of Science and Technology, and North Carolina State University. Abstract "AI systems have found a wide range of real-world applications in recent years. The adoption of edge artificial intelligence, ... » read more

The Future Of Digital Engineering In The Age Of AI


Digital engineering gives innovators creative agency to test the limits of their ideas in a virtual environment. It is in this convergence of digital technologies, data-driven models, and advanced simulations where new designs are born at unprecedented levels of speed and accuracy. Adding artificial intelligence (AI) into the mix further accelerates innovation by unlocking opportunities to a... » read more

Multiple Challenges Emerge With Physical AI System Design


Physical AI holds the promise of making everything from robots to a slew of mobile edge devices much more interactive and useful, but it will significantly alter how systems are designed, verified, and monitored. Physical AI systems need to work both independently and together. They need the ability to make decisions quickly and locally, typically using much less power than other types of AI... » read more

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

The Future Of Verification


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

HW-SW Co-Designed System With 3 Core Optimization Pathways For Long-Context Agentic LLM Inference (Cambridge, ICL)


A new technical paper titled "Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference" was published by researchers at University of Cambridge, Imperial College London and University of Edinburgh. Abstract "LLMs now form the backbone of AI agents for a diverse array of applications, including tool use, command-line agents, and web or computer use agents. The... » 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

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