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

Hallucination And Innovation At DAC


At DAC this year, I had the pleasure of moderating an intimate chat between Alon Shtepel, senior director for ASIC at Micron, and Abhi Kolpekwar, vice president and general manager for digital verification technology at Siemens EDA. The assigned topic was generative AI in design and verification, with the more provocative subtitle asking if we are hallucinating or innovating? L-R: Brian ... » read more

Multi-Modal AI In EDA Development Flows


RTL coding is a critical step in the development of semiconductors, but many would argue it is not the most difficult. Things become a lot more complex as you get closer to implementation, and as the system context becomes larger than can be comprehended by text alone. In both cases, layout, timing, power, and many other factors come into play, but none is as easily represented by text, and the... » read more

EDA Startups At DAC 2025


The 62nd DAC showcased numerous new exhibitors in 2025, including tool and IP providers, design services firms, and component marketplaces. New EDA startups, in particular, had a robust showing, with entrepreneurial engineers seeking to tackle the increasingly complex challenges facing modern chip design with fresh approaches. AI was a strong theme throughout the show, with companies of all ... » read more

EDA’s Top Execs Map Out An AI-Driven Future


Artificial intelligence is permeating the entire semiconductor ecosystem, forcing fundamental changes in AI chips, the design tools used to create them, and the methodologies used to ensure they will work reliably. This is a global race that will redefine nearly every domain over the next decade. In presentations and interviews over the past several months, top EDA executives converged on th... » read more

Agentic AI In Chip Design


Large language models (LLMs) like ChatGPT are just the starting point for generating content with AI. The next phase will be about harnessing LLMs with agents, providing automated feedback and improvements in performance and accuracy. Mehir Arora, backend engineer at ChipAgents, talks about the impact this can have on EDA and chip design, allowing smaller teams to compete with larger teams, and... » read more

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