DFT In Automotive


Ensuring automotive chips are reliable, defect-free, and secure adds a whole new dimension to design for testability (DFT). Depending on the safety criticality of a system in an automobile, tests can range from key-on, once a car is started, to safety-critical features that may need to be tested every couple hundred milliseconds during operation. Lee Harrison, director of automotive IC solution... » 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

Why Proof Convergence Matters


Achieving a deterministic "yes or no" answer in semiconductor verification is becoming more challenging as chip complexity increases. There are more cores, more potential interactions, and more reliance on AI to build AI chips. Ashish Darbari, CEO of Axiomise, talks about the impact of functional interactions involving safety and security, and where to look for common patterns to prevent bugs f... » read more

Integrating Error Propagation Theory Into the FMEDA Framework (Robert Bosch GmbH)


A new technical paper, "Quantifying Uncertainty in FMEDA Safety Metrics: An Error Propagation Approach for Enhanced ASIC Verification," was published by Robert Bosch GmbH. Abstract "Accurate and reliable safety metrics are paramount for functional safety verification of ASICs in automotive systems. Traditional FMEDA (Failure Modes, Effects, and Diagnostic Analysis) metrics, such as SPFM (... » read more

Unified, Traceable Framework For Risk Assessment in Automotive Semiconductors (Robert Bosch)


A new technical paper, "An Integrated Failure and Threat Mode and Effect Analysis (FTMEA) Framework with Quantified Cross-Domain Correlation Factors for Automotive Semiconductors," was published by researchers at Robert Bosch GmbH. Abstract "The automotive industry faces increasing challenges in ensuring both functional safety (FuSa) and cybersecurity for complex semiconductor devices. Tr... » read more

Limiting AI/ML Tools To Ensure Physical AI Safety, Security


Key Takeaways: AI-based tools can help monitor physical AI systems and LLMs, but human oversight is still needed to avoid false positives, bias, and other anomalies. For autonomous vehicles and robots, edge case scenarios and understanding human values are weak points, especially as moral and social values change over time. AI tools are growing and becoming increasingly helpful for c... » read more

An Integrated Workflow For Circuit Design, Simulation, And Functional Safety Analysis


By Daniel Zhang and Claudius Jordan Functional safety analysis is a crucial step in the development of safety-critical systems. It ensures that the system-under-development meets its defined safety requirements and functions safely under both nominal and fault conditions. In the event of a failure, the system must respond appropriately to mitigate the risk of safety hazards that could potent... » read more

Airbus A320 Recall: Rethinking Fault Testing In Aerospace


Fault injection is usually discussed in the context of security, where adversaries deliberately induce faults to bypass protections or extract sensitive information. In safety engineering, by contrast, faults are often treated as rare, random events driven by natural or environmental factors. The recent Airbus A320 recall is a good example of how a primarily safety incident can still benefit fr... » read more

Physical AI Takes Functional Safety Cues From Automotive


Robots are becoming smarter, more capable, and more pervasive, setting the stage for a whole new round of growth that will touch nearly every part of the semiconductor and software industries for decades to come. Robots are at the core of physical AI, a broad segment of edge AI systems that interact with the world through artificial intelligence and sensors. This includes everything from hum... » read more

ADAS/AD: Why An External Safety MCU Remains A Cornerstone For Safety Alongside SoC Safety Islands


Advanced driver-assistance systems (ADAS) and autonomous driving (AD) technologies are revolutionizing mobility, making vehicles smarter, safer, and increasingly autonomous. At the heart of these advancements are sophisticated computing architectures built on system-on-chips (SoCs) that manage complex tasks like perception, decision-making, and control. Many SoCs integrate a "Safety Island"—a... » read more

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