For markets such as data center, high-performance computing, networking and AI accelerators the battle cry is often “copper is dead”. The tremendous demands for performance and power efficiency often lead to this conclusion. As is the case with many technology topics, things are not always the way they seem. It turns out a lot … Read More
Artificial Intelligence
Webinar – IP Design Considerations for Real-Time Edge AI Systems
It is well-known that semiconductor growth is driven by AI. That simple statement breaks down into many complex use cases, each with its own requirements and challenges. A webinar will be presented by Synopsys on October 23 that focuses on the specific requirements for one of the most popular use cases – AI at the edge. The speaker… Read More
Secure-IC and Silicon Labs Raise the Bar for Hardware Security
Cybersecurity is getting more critical every day. Thanks to sophisticated AI attacks, the need for hardware chip-level security is greater than ever. To fortify hardware against these types of attacks is not easy. There are three key attributes of a successful strategy: a well-designed root-of-trust, collaboration to ensure… Read More
Why Choose PCIe 5.0 for Power, Performance and Bandwidth at the Edge?
Synopsys recently held a webinar session on this topic and Gustavo Pimentel, Principal Product Marketing Manager at the company led the webinar session. Going into the webinar session, I found myself wondering: why focus on PCIe 5.0, eight years after its release? With the industry buzzing about Edge AI, cloud computing, and … Read More
Exploring TSMC’s OIP Ecosystem Benefits
Now that the dust has settled let’s talk more about TSMC’s Open Innovation Platform. Launched in 2008, OIP represents a groundbreaking collaborative model in the semiconductor industry. Unlike IDMs that controlled the entire supply chain, OIP fosters an “open horizontal” ecosystem uniting TSMC… Read More
Demand Meets Design: RISC-V and the Next Wave of AI Hardware
Artificial intelligence (AI) is transforming every layer of computing, from hyperscale data centers training trillion-parameter models to battery-powered edge devices performing real-time inference. Hardware requirements are escalating on every front: compute density is increasing, power budgets are tightening, … Read More
Moores Lab(AI): Agentic AI and the New Era of Semiconductor Design
For decades, chip design has been a delicate balance of creativity and drudgery. Architects craft detailed specifications, engineers read those documents line by line, and teams write and debug thousands of lines of Verilog and UVM code. Verification alone can consume up to 35 percent of a project’s cost and add many months to … Read More
From Prompts to Prompt Engineering to Knowing Ourselves
I am on a voyage of discovery through prompting and prompting technologies because these are the critical interfaces between what we want (or roughly imagine we want) from AI, and AI’s ability to deliver. I have seen suggestions that any deficiencies today are a detail that will soon be overcome. I’m not so sure. Yes, prompting technology… Read More
Scaling Debug Wisdom with Bronco AI
In the business press today I still find a preference for reporting proof-of-concept accomplishments for AI applications: passing a bar exam with a top grade, finding cancerous tissue in X-rays more accurately than junior radiologists, and so on. Back in the day we knew that a proof-of-concept, however appealing, had to be followed… Read More
CEO Interview with David Zhi LuoZhang of Bronco AI
David Zhi LuoZhang is Co-Founder and CEO of Bronco AI with extensive experience in building AI systems for mission-critical high-stakes applications. Previously while at Shield AI, he helped train AI pilots that could beat top human F-15 and F-16 fighter pilots in aerial combat. There, he created techniques to improve ML interpretability… Read More


Consolidation and Competition: Who is Winning the $4.5 Billion Interface IP Race?