Hock Tan and his CFO Kirsten Spears logged into the June 3 earnings call with numbers that should have satisfied anyone. AI semiconductor revenue hit $10.8 billion in Q2, up 143% year over year, above Broadcom’s own forecast. Full-year AI guidance went to $56 billion. The $100 billion fiscal 2027 target was reaffirmed. By any prior… Read More
Artificial Intelligence
Podcast EP349: llmda.a’s Unique AI Fabric for Embedded Systems Development with Nagesh Gupta
Daniel is joined by Nagesh Gupta, CEO of llmda.ai. Nagesh has built a career spanning multiple aspects of system design and development at companies including Hewlett-Packard, Cadence, Xilinx, and Lattice Semiconductor. He is also a serial entrepreneur. Nagesh founded Taray, Inc., which developed memory interface generators… Read More
Engineering Documentation is a Critical Source of Truth – Do You Know if it’s Accurate?
Embedded systems programs rarely fail because of a lack of execution capability. They fail because critical engineering documentation drifts out of alignment over time and distance. Simply put, the team is correctly following the wrong instructions. This includes requirements, architecture, implementation, verification,… Read More
An Update on IP Lifecycle Management (IPLM)
IPLM is not always prominent, nevertheless it is a very necessary aspect of semiconductor (and systems) design. Modern designs build on a wide range of IPs and subsystems, each evolving through multiple variants and versions, each with different PPA characteristics and recommended use-cases, many from different suppliers… Read More
Learn How llmda Uses Agentic AI to Generate Hardware Docs & Keep Them Consistent
Accurate, complete, and consistent technical documentation is a critical element of success for any embedded system design project. This includes IP, SoCs, and the associated hardware and software infrastructure. When documentation contains errors, the consequences go beyond engineering inefficiency. Errors that drive… Read More
TSMC Pioneers a New Era in AI-Powered Trade Secret Management, Achieving Intelligent Innovation
As semiconductor manufacturing becomes increasingly knowledge-intensive, protecting intellectual property and trade secrets has emerged as a strategic imperative. The world’s leading foundry, TSMC is advancing beyond conventional information security practices by integrating artificial intelligence into… Read More
A Look at the High-Profile Speakers Presenting at #DAC2026
Many of us think of DAC as an important trade show for the Semiconductors and EDA industries. That is certainly part of the history of DAC, but the event is also a highly prestigious technical conference dating back to 1964. In fact, the exhibits at DAC began 20 years after the conference started. That long history as a premier technical… Read More
Podcast EP348: How Lemurian Labs is Building the Foundation for AI’s Next Era with Jay Dawani
Daniel is joined by Jay Dawani, co-founder and chief executive officer of Lemurian Labs, where he leads the company’s mission to reinvent AI infrastructure for greater efficiency, accessibility and performance. With a background spanning AI system architecture, hardware-software co-design and performance optimization,… Read More
Why Generic LLMs Fall Short for Critical Engineering Documentation
Engineering documentation has always been difficult to produce, maintain, and scale. But with the rise of generative AI, many organizations are asking a reasonable question: can a general-purpose large language model (LLM) like Claude automate the work? At first glance, the answer appears to be yes.
Modern LLMs can generate… Read More
WEBINAR: Caspia’s AI Makes You a Security Verification Expert
Let’s face it, powerful, highly trained AI is making it easier to find security flaws in many systems. When the attack surface becomes the underlying hardware, the risks grow exponentially. Unlike software, hardware can’t easily be “patched”. Early, advanced security verification is the way to mitigate these risks, but doing… Read More


Intel: Pushing EMIB Forward: Design Methodology Insights with Synopsys Tools