Researchers at UCSD and Columbia University published "ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design."Abstract"While Large Language Models (LLMs) show significant potential in hardware engineering, current benchmarks suffer from saturation and limited task diversity, failing to reflect LLMs' performance in real industrial workflows. To address t...» read more
AI will continue to impact every facet of the EDA industry. Pressure will mount in 2026 on design teams to drive productivity gains while technical complexity continues to escalate. This will reshape how teams work and the tools they use. Success will be determined by balancing the trade-offs between integrated platforms and best-of-breed toolchains and developing talent internally rather than ...» read more
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
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 managementMany engineers discover the importance ...» read more
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
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
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
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'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
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
Workflows and the addition of new capabilities are happening much faster than with previous technologies, and new grads may be vital in that transition.
Workflows and the addition of new capabilities are happening much faster than with previous technologies, and new grads may be vital in that transition.
Companies and governments invested heavily in onshoring fabs and facilities over the past 12 months as tariffs threatened to upset the global supply chain.
Memory chip shortages prompt price increases; Israeli chip foundry; 2 acquisitions; Baidu's AI chips; IBM's new quantum processor; GF's GaN push; 3D NAND scaling boosters; U.S. policy recommendations; +$500M in fundings; SiPho and SiGe capacity; EV joint venture.
Growing use cases include life science AI, reducing memory and I/O bottlenecks, data prepping, wireless networking, and as insurance for evolving protocols.
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