Blog Review: May 13


Siemens' Loay Hegazy, Mohamed Taher, and Sherif Hammouda describe a GPU rasterizer designed specifically for computational lithography and present benchmark results and practical implications for mask synthesis workflows. Cadence's Udaya Shankar introduces RTL, logic, and physical restructuring techniques and how they can help improve PPA, reduce dynamic power consumption, and optimize place... » read more

Supporting Safety Requirements from RTL Exploration Through Implementation in Semiconductor Devices (Politecnico di Torino, Synopsys)


A new technical paper, "Early Functional Safety and PPA evaluation for faster digital design development," was published by researchers at Politecnico di Torino and Synopsys. Abstract "The use of semiconductor devices in safety-critical applications is increasing in both volume and complexity. Applications in markets such as automotive, data centers, and aerospace have dependability requi... » read more

Complete End-To-End Closed-Loop Product Yield Ramp And Learning


By Guy Cortez and Maheshwaran Jothi Yield ramp has always been a concern in semiconductor manufacturing: systems companies need confidence that devices meet quality targets before shipment, and chipmakers need to reach yield entitlement quickly to control cost and supply. While this has never been easy, advanced nodes are raising the bar again. First, designs are larger and more heterogen... » 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

The Emergence Of Electronics Digital Twins For Software-Defined Vehicles


Digital twins have long played a critical role in engineering and manufacturing. As virtual representations of physical products, systems, and processes, they help organizations innovate faster, improve quality, and reduce costs. Early digital twin technologies were primarily rooted in the physical world, modeling mechanical systems such as engines, buildings, and factory operations to simulate... » read more

Building AI Without Guardrails


Key Takeaways: AI governance is broadly recognized as essential, but today it remains fragmented, largely aspirational, and lacking enforceable mechanisms for accountability, runtime assurance, and global interoperability. Because AI innovation is advancing too quickly for governments or standards bodies to keep pace, practical AI governance is most likely to emerge first from high‑ri... » read more

Humanoid Touch And Voice Are Improving Rapidly


Key Takeaways Humanoid robots are rapidly expanding beyond factories and logistics toward broader, general-purpose roles (including in-home assistance), driven by advances in AI and sensing. Compared with vision and language, touch (haptics) and hearing/voice in real environments remain the hardest — and most commercially important — sensing challenges, requiring fast sensor fusio... » read more

Next-Gen Batteries Require Impedance Data And Active Balancing


Key Takeaways Electric vehicles and energy storage systems using LFP batteries require more sophisticated diagnostic methods because they exhibit very flat cell voltages across various charge levels, making it harder to estimate usable energy. Battery management systems are leveraging new components, AI/ML, digital twins, and other techniques to get more accurate, real-time data, includ... » read more

Blog Review: May 6


Synopsys' Prith Banerjee identifies key challenges in designing AI data centers and why addressing them requires a transformative approach that impacts every aspect of the system design and its individual components. Cadence's Meet S Chauhan checks out what's new in MIPI C-PHY v3.0, including the new 18 wire state mode that can support high-resolution display and image sensors and motion vec... » read more

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