Studies have shown that nearly 20% of the verification cycle is spent on assertion generation, debugging, and methodology integration. This work remains largely manual today or is delegated to general-purpose LLMs that can produce incorrect assertions more than 30% of the time. Avestra attacks this problem with agentic AI … Read More
TSMC’s AI Design Kit: Bringing Agentic AI Into Chip DesignTSMC is introducing an AI Design Kit, or…Read More
OpenAI and Synopsys Announce GPT-Synopsys: Why AI-Powered Chip Design MattersWow, OpenAI and Synopsys just announced a multiyear…Read More
Why the energy sector must plan for post-quantum cyber security nowIn a September 2026 World Economic Forum article,…Read More
TSMC OIP Ecosystem Forum 2026: Broadcom’s View of ASICs and EcosystemsI spent a significant part of my career…Read More
The Pivotal Moments That Gave Rise to Silicon ValleyThe little-known decisions and breakthroughs—and the remarkable role…Read MorePDF Solutions CONNECT 2026: Where Semiconductor Data Meets AI
The semiconductor industry is entering a period in which manufacturing leadership will depend not simply on producing more data, but on turning that data into timely, trustworthy decisions. PDF Solutions CONNECT 2026 is designed around this challenge. Taking place October 15–16 at the Westin St. Francis in San Francisco, the… Read More
Executive Interview with Raghu Belur, Co-Founder of Enphase Energy
Raghu co-founded Enphase Energy with Martin Fornage in 2006. He has more than 25 years of experience in the clean energy and high‑technology industries, and has been at the forefront of developing Enphase’s leading integrated energy system—with solar generation, storage, monitoring, and control. Prior to Enphase, Raghu developed
SemiWiki CEO Interview with Dr. Nissan Maskil of Qarakal Quantum
Nissan Maskil, PhD, is the CEO and co-founder of Qarakal Quantum, established in 2024. Nissan brings 40 years of national technology program experience to Qarakal Quantum, where they’re working to enable researchers and enterprises to run larger and more meaningful quantum computing workloads sooner.
Nissan is a deep-tech… Read More
Webinar – ChipAgents Shows You How to Break the Timing Closure Bottleneck with AI
We all know timing closure is one of the most challenging processes in chip design. Extracting actionable insight from massive timing reports, tracing violations back to RTL, and selecting the right fix across complex PPA tradeoffs all require deep expertise. And every change can trigger hours or days of tool runs and cross-team… Read More
Jalapeño Hot Chip, Cool Power Bill: OpenAI Turns Up the Heat on AI Inference
OpenAI’s Jalapeño is a custom accelerator designed specifically for AI inference, particularly the low-latency, multi-chip workloads behind interactive and agentic systems. Its central idea is that useful performance cannot be reduced to peak floating-point operations or memory bandwidth. What matters is how quickly … Read More
Keysight EDA update at DAC 2026
On the last day of #DAC2026 I stopped by the Keysight booth to chat with Nilesh Kamdar, GM of EDA Business to get an update. He has spent 27 years in the industry, and this made 25 DAC trips for him. For Keysight the application areas of focus are serving designers of high frequency and high-speed digital, RF, and mm/uwave designs. An … Read More
2026 Ceva Edge Symposium: Building Intelligence Beyond the Cloud
The 2026 Ceva Edge Symposium will bring together engineers, technology leaders, ecosystem partners, and innovators to explore a major shift in computing: moving artificial intelligence from distant cloud infrastructure into the devices that interact directly with the physical world. Scheduled for November 2 in Hsinchu,… Read More
HBM’s Second Act: When Memory Starts Thinking
Samsung’s Hot Chips 2026 presentation, “HBM Base Die: How HBM Will Evolve Using Advanced Logic Processes,” argues that the base die beneath a High Bandwidth Memory stack is about to become far more than a communications layer. Traditionally, an HBM base die mainly connects stacked DRAM dies to a GPU, TPU, or other processor and … Read More
NVIDIA Vera: Rebuilding the CPU for Agentic AI
Source: Jonathon Evans and Polychronis Xekalakis, “NVIDIA Vera CPU,” Hot Chips 2026. Performance figures are NVIDIA claims, and several results were based on preproduction or unofficial testing.
NVIDIA’s Vera CPU is a server processor designed specifically for agentic AI, where language models repeatedly observe, reason,… Read More


Intel Foundry: AI performance now depends on the whole system