EDA and IP Revenue Up 8.8%


EDA and IP revenue grew 8.8% in Q3 2025 to $5.566 billion, up from $5.115 billion in the same period in 2024, according to new data from ESD Alliance. But beneath those respectable, if not spectacular numbers, some interesting shifts are underway. China returned to double-digit growth after several quarters of lackluster sales. But the biggest surprise was EDA/IP revenues from South Korea an... » read more

Transforming Data Management In EDA: Preparing For The AI Era


In today’s fast-paced electronics design automation (EDA) environment, effective data management has become essential. Growing design complexity, distributed teams, and the accelerating adoption of AI/ML are pushing organizations to rethink how they manage, track, and leverage decades of engineering data. From manual workarounds to data management Many engineers discover the importance ... » read more

Accelerating Semiconductor Innovation Through Machine Learning-Driven Modeling


The semiconductor industry is entering an era of unprecedented complexity, driven by advanced architectures such as Gate-All-Around (GAA) transistors, wide-bandgap materials like GaN and SiC, and heterogeneous integration strategies. Traditional physics-based modeling approaches are increasingly challenged by nonlinear effects, electro-thermal interactions, and variability across device geometr... » read more

LLM- Based Techniques To Support Behavior-Driven Development For HW Design (U. of Bremen, DFKI)


A new technical paper titled "LLM-based Behaviour Driven Development for Hardware Design" was published by researchers at University of Bremen/DFKI. Abstract "Test and verification are essential activities in hardware and system design, but their complexity grows significantly with increasing system sizes. While Behavior Driven Development (BDD) has proven effective in software engineerin... » read more

Reducing The Expertise Required For Software Developers To Participate In Chip Creation (USC)


A new technical paper titled "A Vertically Integrated Framework for Templatized Chip Design" was published by researchers at University of Southern California. Abstract "Developers who primarily engage with software often struggle to incorporate custom hardware into their applications, even though specialized silicon can provide substantial benefits to machine learning and AI, as well as ... » read more

AI In A/MS IC Design: Between Buzzword And Productivity Boost


In the past few years, AI has burst onto the public stage in grand style. This ongoing trend is apparent in the rising number of AI applications in everyday life. But more and more, it can also be seen in a broad range of technical niches, where the main motivation is AI’s promise of continuously increasing efficiency. One such niche that has seen decades of attempts to achieve greater eff... » 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

The Next Big Thing


Sometimes, we spend so much time looking for the next big thing that we actually miss something even bigger. I have to admit I was guilty of this while employed by a large EDA company 20 years ago. I was one of those ESL people — Electronic System Level acolytes, with Gary Smith as our standard bearer. We wanted to do many things, including raising the level of abstraction for design and veri... » read more

Multimodal LLM Assistant for Chip Physical Design (National Taiwan Univ., UCLA, NVIDIA)


A new technical paper titled "Multimodal Chip Physical Design Engineer Assistant" was published by researchers at National Taiwan University, University of California, Los Angeles and NVIDIA Research. Abstract "Modern chip physical design relies heavily on Electronic Design Automation (EDA) tools, which often struggle to provide interpretable feedback or actionable guidance for improving ro... » read more

Unlocking Clarity: Keyphrase Trees Bring Structure To AI Text Analysis


By Amr Hegazy, Mohamed Abdelkarim, and Reem El Adawi In the vast digital landscape of information, from intricate design specifications to extensive patent literature and complex verification reports, extracting meaningful insights often feels like searching for a needle in a haystack. This challenge is particularly acute in the semiconductor industry, where critical details are buried with... » read more

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