Key Takeaways New approaches are being devised and tested to address the talent shortage. Leveraging AI in design tools will help engineers become more efficient, and potentially could reduce the time it takes to train engineering students. EDA companies are looking at whether it's possible to train computer science and software engineers to become hardware engineers.A vari...» read more
Key Takeaways Architectural conformance and implementation verification are necessary but different for RISC-V designs, yet few verification engineers have experience on the conformance side. While RISC-V enables flexibility, there is a potential for ecosystem fragmentation. It is mathematically impossible to test every instruction combination, so engineers are moving beyond just "bl...» read more
Key Takeaways Design for test takes on new urgency in complex multi-die assemblies, where it can be used to minimize downstream errors and the cost of fixing them. DFT needs to be increasingly detailed due to more connections and the inability to access some components. DFT strategies need to be developed earlier and may require multiple testing approaches.Multi-die assembl...» read more
The promise of AI dominated the last quarter of 2025. Investors were eager to claim stakes in both brand-new startups and more established companies developing AI-specific hardware, primarily for data centers, with over $1 billion alone flowing into the sector. The largest round of the quarter went to a new entrant aiming to fundamentally change how AI compute is performed, while two in-memory ...» read more
As chip designs become larger and more complex, especially for AI and high-performance computing workloads, it's often not feasible to fit everything onto a single planar die. But determining when to move to a multi-die assembly isn't always straightforward.Multi-die approaches have some well-documented benefits. They allow designers to split functions across different dies, which can impro...» read more
2025 has certainly been a year of unexpected changes. These had a significant impact on the semiconductor industry and everything that supports it. Not all the changes have been bad, but flexibility has been a requirement for continued success or to make the most of an opportunity provided.Some industries, such as aerospace and defense, are seeing a significant boost around the world. Data ...» read more
ICs and SoCs are utilizing a range of processing elements that allow them to optimize current workloads while hedging their bets for the future.What used to be a simple choice between an ASIC, FPGA, or DSP, has evolved into a mix of processor types and architectures, including varying levels of programmability and customization. Speed is essential, but technology is evolving so quickly that...» 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
FPGAs are finding new applications in the age of artificial intelligence, high-speed wireless communications, medical and life science technology, and in complex chip architectures where they can improve the flow of data.Field-programmable gate arrays (FPGAs) enable designers to reprogram or reconfigure digital logic after the chips have been deployed, which is essential in the AI world, wher...» read more
Silicon lifecycle management (SLM) is transforming chip architectures, empowering designers to build smarter, more resilient, and secure semiconductor devices by leveraging data from manufacturing to end of life in the field.That data can be used to improve future designs, reduce margin, and continuously optimize performance and power efficiency throughout a chip's lifetime. Moreover, under...» 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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