Author's Latest Posts


How AI Will Automate Chip Design


AI has been used in EDA for many years for the core algorithms in tools, but it's getting smarter and more optimized with the rollout of generative and agentic AI. As it evolves and improves, hardware engineers are finding ways to leverage it for more complex tasks. Ziyad Hanna, corporate vice president at Cadence, talks about five levels of autonomy in chip design that mirror those in the auto... » read more

Improving Yield Through Shared Data


Increasing complexity due to advanced packaging, multi-die assemblies, and more devices under test is having an impact on yield, which in turn slows time to market and impacts overall chip costs. What's needed is a way to share data that previously was siloed by chipmakers, fabs, and OSATs. Jayant D'Souza, technical product director at Siemens EDA, talks about the underlying drivers for sharing... » read more

Digital Twins: The Cloud’s The Limit


Key Takeaways Digital twins are gaining traction as a way of testing different options at every step of the design-through-manufacturing flow. AI can be used to glue together disparate data types in multi-physics simulations. The promise of digital twins is huge, but multiple challenges need to be solved before it can live up to its potential. Digital twin technology is draw... » read more

New Challenges In Signoff


Multi-die assemblies coupled with leading-edge process nodes make signoff increasingly challenging and scary. There are more corner cases and more data to consider, but no slack in the delivery schedule. Marc Heyberger, product engineer group director at Cadence Design Systems, talks about full-chip timing, flat versus hierarchical timing analysis, the ongoing development of full 3D-ICs, and wh... » read more

Verifying Scale-Up And Scale-Out In Data Centers


Semiconductor Engineering sat down to discuss challenges and solutions for data center build-out and build-up with Gordon Allan, Siemens EDA director of verification IP; Rishi Chugh, vice president of product marketing for network switching at Marvell; Saravanan Kalinagasamy, senior director of ASIC design and validation at Astera Labs; and Jalaj Gupta, product engineering lead at Siemens EDA. ... » read more

New Performance Requirements For Audio


Demand for higher performance in audio is rising as human-machine interactions increase on the edge. That means more processing elements, and more challenges in keeping data consistent across those processors. Prakash Madhvapathy, director of product marketing and product management at Cadence, talks about the advantages of coherent designs, how that impacts security, and how DSPs are evolving ... » read more

Wi-Fi 7 Moves To The IoT


Wi-Fi 7 has been a staple in high-end applications such as notebook computers and AR/VR glasses for the past couple years, where high-speed connectivity and low latency are essential. Known alternatively as IEEE 802.11be, and Extremely High Throughput Wi-Fi, it is starting to migrate downstream into IoT devices such as smart door locks, thermostats, and robotic vacuum cleaners. But the reason i... » read more

The Race Begins For Much Bigger Abstractions In Data Centers


Key Takeaways Data center build-out is enabling much larger and more complex abstractions. Competition is building for digital/virtual twins across multiple industry segments, including automotive, aerospace, and chip manufacturing. AI, and particularly AI agents, will play a significant role in sorting through data to find potential trouble spots. The frenzy of new data cen... » read more

One-on-One With proteanTecs CEO Shai Cohen


The acceleration of technology is unprecedented: AI data centers, edge build-out, robotics, photonics, quantum, multi-die assemblies. Semiconductor Engineering Editor in Chief Ed Sperling talks with proteanTecs CEO Shai Cohen about what's changing and what impact it will have. Click here to listen. » read more

Changes In Chip Architectures At The Edge


Edge computing is all about low latency, within a tight power budget, and with sufficient performance. This is very different from an AI data center, where the real focus is on data throughput between processor and memory. Achieving those goals requires a focus on what different processing elements bring to the table. Nigel Drego, co-founder and CTO of Quadric, talks about how these different c... » read more

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