Author's Latest Posts


SDVs And AI Forcing Big Changes In Automotive


The automotive industry is undergoing a fundamental transformation that includes everything from software-defined vehicles, the injection of AI into nearly every facet of the design and use case of a vehicle, and a complete overhaul of traditional relationships between different tiers and OEMs. The switch to software-defined vehicles is a top priority for the automotive ecosystem. It enables... » read more

Security Tradeoffs: A Difficult Balance


Experts At The Table: Semiconductor Engineering sat down to discuss hardware security challenges, including new threat models from AI-based attacks, with Nicole Fern, principal security analyst at Keysight; Serge Leef, AI-For-Silicon strategist at Microsoft; Scott Best, senior director for silicon security products at Rambus; Lee Harrison, director of Tessent Automotive IC Solutions at Sieme... » read more

Often Overlooked, PHYs Are Essential To High-Speed Data Movement


Over the past couple of decades, the semiconductor industry has evolved from a supporting role for traditional verticals like mobile, automotive, and PCs to a foundational role in those markets, as well as in AI factories and hyperscale data centers. Underlying this transformation is the physical layer (PHY), which has emerged as a critical enabler for data transfer and communications. The P... » read more

AI: A New Tool For Hackers, And For Preventing Attacks


Semiconductor Engineering sat down to discuss hardware security challenges, including new threat models from AI-based attacks, with Nicole Fern, principal security analyst at Keysight; Serge Leef, AI-For-Silicon strategist at Microsoft; Scott Best, senior director for silicon security products at Rambus; Lee Harrison, director of Tessent Automotive IC Solutions at Siemens EDA; Mohit Arora, seni... » read more

Security Vulnerabilities Difficult To Detect In Verification Flow


As designs grow in complexity and size, the landscape for potential hackers to infiltrate a chip at any point in either the design or verification flow increases commensurately. Long considered to be a “safe” aspect of the design process, verification now must be a focus of chip developers from a security perspective. This also means the concept of trust has never been higher, and the tr... » read more

Multi-Die Assemblies Complicate Parasitic Extraction


The shift from planar designs to multi-die assemblies with complex interconnects is transforming what had become almost an afterthought in the design process into a first-order challenge. Parasitics include things like inductance, capacitance, and resistance, which have become more problematic at advanced nodes due to increasing logic density, thinner interconnects and insulators, and a spik... » read more

Agentic AI In Chip Design


Large language models (LLMs) like ChatGPT are just the starting point for generating content with AI. The next phase will be about harnessing LLMs with agents, providing automated feedback and improvements in performance and accuracy. Mehir Arora, backend engineer at ChipAgents, talks about the impact this can have on EDA and chip design, allowing smaller teams to compete with larger teams, and... » read more

Connecting AI Accelerators


Experts At The Table: Semiconductor Engineering sat down to discuss the various ways that AI accelerators are being applied today with Marc Meunier, director of ecosystem development at Arm; Jason Lawley, director of product marketing for AI IP at Cadence; Paul Karazuba, vice president of marketing at Expedera; Alexander Petr, senior director at Keysight; Steve Roddy, chief marketing office... » read more

Optimizing Data Movement


Demand for new and better AI models is creating an insatiable demand for more processing power and much better data throughput, but it's also creating a slew of new challenges for which there are not always good solutions. The key here is figuring out where bottlenecks might crop up in complex chips and advanced packages. This involves a clear understanding of how much bandwidth is required ... » read more

Future-proofing AI Models


Experts At The Table: Making sure AI accelerators can be updated for future requirements is becoming essential due to the rapid introduction of new models. Semiconductor Engineering sat down to discuss the challenges of future-proofing these designs with Marc Meunier, director of ecosystem development at Arm; Jason Lawley, director of product marketing for AI IP at Cadence; Paul Karazuba, vic... » read more

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