Smarter, Faster, Leaner: Rethinking Verification For The Modern Era


Verification isn’t just another step in the semiconductor design process—it’s increasingly the step that defines whether teams hit their schedules or miss the mark. With skyrocketing design complexity, accelerated development timelines, and persistent engineering shortages, the industry is feeling the pressure. Traditional methods aren’t keeping pace. At Siemens, we’ve been rethink... » read more

In-System/In-Field Testing Using High-Quality Deterministic Test Patterns


The amount of electronic content in passenger cars is growing rapidly, primarily due to the integration of advanced safety features. The shift towards fully autonomous vehicles, which must comply with stringent safety standards, will further increase the number of electronic components required. Testing efforts must be of exceptional quality. The target test time is often limited to less than 1... » read more

Challenges In Using Sub-7nm ICs In Automotive


The automotive industry is producing vehicles with increasing levels of real-time decision-making, enabled by thousands of ICs, sensors, and multi-chip packages, but making sure these systems work flawlessly throughout their expected lifetimes is a growing challenge. Automotive chips traditionally were developed at mature process nodes in five- to seven-year cycles, but much has changed over... » read more

Rethinking Chip Reliability For Harsh Conditions


As semiconductors push into environments once considered untenable, reliability expectations are being redefined. From the vacuum of space and the inside of jet engines to deep industrial automation and electrified drivetrains, chips now must endure extreme temperature swings, corrosive atmospheres, mechanical vibration, radiation, and unpredictable power cycles, all while delivering increasing... » read more

Accelerated Assurance For Functional Safety


Today’s electronic systems face unprecedented challenges in ensuring functional safety. As autonomous vehicles navigate our streets, medical devices sustain lives, and industrial automation systems control critical processes, the need for robust safety processes and supporting automation has never been more crucial. The complexity of modern electronic systems, coupled with stringent safety st... » read more

AR/VR Glasses Taking Shape With New Chips


More augmented reality (AR), virtual reality (VR), and mixed reality (MR) wearables are coming, but how they are connected, and where image and other data is processed, are still in flux. Ray-Ban Meta AI glasses, for example, look like classic eyeglasses, but they rely on a tethered smart phone for such functions as taking pictures, AI voice assistance, and object identification. In contrast... » read more

Blog Review: June 4


In a podcast, Siemens’ Conor Peick, Dale Tutt, and Mike Ellow chat about the implications of the software-defined transition, how it affects semiconductor development, and why it seems to be leading more companies towards developing their own silicon. Cadence’s Vinod Khera shows off a Linux-based audio development platform for prototyping AI audio applications with support for real-time ... » 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

Addressing Stress In Heterogeneous 3D-IC Designs


The benefits of 3D IC architectures are well-documented – smaller footprints, lower power, and increased performance. However, the move to heterogeneous 3D designs also introduces a host of new challenges that must be carefully navigated. As chip designers integrate multiple dies and technologies into a single 3D package, the interactions between the chip and package become increasingly co... » 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

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