In a presentation at the RISC-V Summit North America 2025, John Simpson, Senior Principal Architect at SiFive, delved into the evolving landscape of RISC-V extensions tailored for artificial intelligence and machine learning. RISC-V’s open architecture has fueled its adoption in AI/ML markets by allowing customization… Read More
TSMC's Customized Technical Documentation Platform Enhances Customer ExperienceTaiwan Semiconductor Manufacturing Company, the world's leading dedicated…Read More
PDF Solutions' AI-Driven Collaboration & Smarter DecisionsWhen most people hear the term PDF, they…Read More
Bringing Low-Frequency Noise into FocusKey takeaways The challenge of acquiring high-quality, reproducible…Read More
A Brief History of TSMC Through 2025Taiwan Semiconductor Manufacturing Company, the world's largest dedicated…Read MoreRuntime Elaboration of UVM Verification Code
Recently, I reported on my conversation with Cristian Amitroaie, CEO of AMIQ EDA, about automated generation of documentation from design and verification code. Before we chose that topic for a post, Cristian described several capabilities of the AMIQ EDA product family that might be of interest to design and verification engineers.… Read More
CISCO ASIC Success with Synopsys SLM IPs
RISC-V: Powering the Era of Intelligent General Computing
Charlie Su, President and CTO of Andes Technology, delivered a compelling keynote at the 2025 RISC-V Summit North America, asserting that RISC-V is primed to drive the burgeoning field of Intelligent General Computing. This emerging paradigm integrates AI and machine learning into everyday computing devices, from AI-enabled… Read More
Simulating Quantum Computers. Innovation in Verification
Quantum algorithms must be simulated on classical computers to validate correct behavior, but this looks very different from classical logic simulation. Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and lecturer at Stanford, EE292A) and I continue our… Read More
Kirin 9030 Hints at SMIC’s Possible Paths Toward >300 MTr/mm2 Without EUV
Earlier this month, TechInsights did a teardown of the Kirin 9030 chip found in Huawei’s Mate 80 Pro Max [1]. Two clear statements were made on the findings: (1) the transistor density of SMIC’s “N+3” process was definitely below that of the earlier 5nm processes from Samsung and TSMC, and (2) metal pitch was aggressively scaled
CEO Interview with Gopi Sirineni of Axiado
Gopi Sirineni is a Silicon Valley veteran with four startups and over 25 years of experience in the semiconductor, software and systems industries. As a senior executive, he has demonstrated exceptional skills in building highly efficient, cost-effective organizations, managing them in rapidly changing environments, and… Read More
Podcast EP324: How Dassault Systèmes is Creating the Next Generation of Semiconductor Design and Manufacturing with John Maculley
Daniel is joined by John Maculley, Global High-Tech Industry Strategy Consultant at Dassault Systèmes. John has over 20 years of experience advancing innovation across the semiconductor and electronics sectors. Based in Silicon Valley, he works with leading foundries, OSATs, design houses, and research institutes worldwide… Read More
Why TSMC is Known as the Trusted Foundry
Taiwan Semiconductor Manufacturing Company (TSMC) is widely regarded as the world’s most trusted semiconductor foundry, a reputation built over decades through technological leadership, business model discipline, operational excellence, and reliability. In an industry where trust is as critical as transistor density,… Read More
Journey Back to 1981: David Patterson Recounts the Birth of RISC and Its Legacy in RISC-V
In a warmly received keynote at the RISC-V Summit, computer architecture legend David Patterson took the audience on a captivating trip back to 1981, using scanned versions of his original overhead transparencies to recount the birth of Reduced Instruction Set Computing (RISC) at UC Berkeley.
Patterson began with humor, noting… Read More


Quantum Computing Technologies and Challenges