Innovation First, AI Second: Lessons From SSN And The Future Of Test


By Marc Hutner and Ron Press Artificial Intelligence is rapidly becoming pervasive in society and across semiconductor development processes. We have to be careful not to apply AI to solve optimizations and challenges of existing methods but pair with engineering innovation for evolutionary results. One example is the application of scan test data in multi-core designs. AI can optimize the d... » read more

Multi-die Testing In The Field Must Build On Established Test Methodologies


Key Takeaways:  In-system testing is the very best way to ensure the longevity of data center and automotive hardware.  A 2-die monitor, test, and repair strategy requires a modified test strategy and new physical-aware bump repair.  Microbumps are too small to probe directly, so sacrificial pads enable probing.  The AI revolution is significantly outpacing the IC indust... » read more

Observability Is A Missing Layer In AI-Era Chiplet Design


Key Takeaways: In chiplet-based architectures, observability must be designed as a fabric-aligned, cross-die telemetry plane so architects can correlate traffic, latency, congestion, and fault behavior across package boundaries without losing system context. AI can extract value from high-volume silicon telemetry only when the architecture provides consistent instrumentation, near-senso... » read more

Designing Chips That Can Explain Themselves


Key Takeaways: On-die telemetry gives architects a path to replace worst-case design margin with measured silicon behavior, improving PPA without compromising resilience. As monitor density and control-loop speed increase, observability must be architected hierarchically across local hardware response, on-die processing, and fleet-level learning. The real payoff is architectural: str... » read more

Why Analog And Mixed-Signal Chips Resist Adaptive Test


Key Takeaways Analog and mixed-signal test remains heavily specification-based because the measurements do not always produce a single expected result. The absence of objective coverage metrics has historically encouraged conservative test flows, which IEEE 2427-2025 begins to address. Separating device behavior from test-path variation is a prerequisite for any adaptive flow—and h... » read more

Observability Is Essential For Modern Silicon


Experts At The Table: In-silicon observability — also known as on-die or on-chip visibility — is becoming increasingly important for managing the performance, reliability, and security of today’s high-performance systems. Semiconductor Engineering sat down to discuss this with Andy Nightingale, vice president of product management and marketing at Arteris; Nandan Nayampally, chief commerc... » read more

AI Accelerator Testing Depends On DFT Innovations


Key Takeaways: I/O and lane repair capabilities are becoming critical to improving yield. System-level testing catches marginal defects and rare defects such as silent data corruption errors. Synopsys and TSMC developed a multi-die demo vehicle capable of full test, monitor, debug, and repair capability across the system’s lifecycle. The proliferation of accelerators in AI... » read more

HBM Shifts Testing Left To Preserve AI Chip Yield


Key Takeaways: A high-yield, known-good stack requires multiple test insertions. Known good stack testing poses challenges for power delivery and thermal management. The shift to HBM4 and HBM5 will increase the pressure for shift-left test flows. Taller high-bandwidth memory (HBM) stacks and tighter TSV pitch are impacting AI module yields. The solution is to push test furth... » read more

Enhancing Silicon Reliability With In-System Test And SLM Data


Innovation in semiconductor development and manufacturing shows no signs of slowing down. Ever-larger chips at ever-smaller geometries create new challenges all the time. At the same time, competitive pressures are shrinking time to market (TTM) and putting enormous pressure on project teams. Furthermore, the wide use of electronics in safety-critical applications demands better reliability, av... » read more

AI Accelerators Usher In New Era For IC Test


Key Takeaways The parallelism in AI accelerators enables low latency but complicates failure isolation. HBM can account for 50% of package cost, so known-good stack assurance is critical. DFT and test cooperate to solve final test, singulated die test, SLT, and in-system test for data centers. AI accelerators are used for everything from training large language models to mak... » read more

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