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

An LLM-based Agentic Framework For Photonic IC Design Automation (U. of Toronto, Max Planck, MIT Et Al.)


A new technical paper titled "AI Agents for Photonic Integrated Circuit Design Automation" was published by researchers at the University of Toronto, Max Planck Institute of Microstructure Physics, GDSFactory, MIT and Axiomatic_AI Inc. Abstract "We present Photonics Intelligent Design and Optimization (PhIDO), a multi-agent framework that converts natural-language photonic integrated circui... » 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

Microservice-Based LLM Agents Enable EDA Flow Automation (Duke Univ. and Univ. of Maryland)


A new technical paper titled "AutoEDA: Enabling EDA Flow Automation through Microservice-Based LLM Agents" was published by researchers at Duke University and University of Maryland. Abstract "Modern Electronic Design Automation (EDA) workflows, especially the RTL-to-GDSII flow, require heavily manual scripting and demonstrate a multitude of tool-specific interactions which limits scalabili... » read more

AI, From A To Z


First in a seven-part series: What's the difference between AI, ML, DL, LLMs, and agentic AI? Is it truly revolutionary, or is it an evolutionary series of steps that have enabled machines to do much more than in the past? Jon Herlocker, vice president and general manager of software analytics at Cohu, talks about the evolution of AI over nearly 70 years, the chain of innovation that has enable... » 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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