AI Data Centers And Auto Industry Converge On Same Issues


Key Takeaways:   AI data centers need power from a range of sources, including batteries, to safeguard against blackouts, transient voltage spikes, and grid demand spikes.   As with regenerative braking and bidirectional charging in electric vehicles, data centers could feed power or heat back into the grid for public use, but the immediate goal is to disrupt the grid as little ... » read more

Securing The Software-Defined Vehicle Starts With Re-Architecting Trust


The automotive industry is being rebuilt around software. Architectures built on dozens of distributed ECUs are giving way to centralized and zonal compute platforms. Functions that once ran on dedicated hardware now share the same SoC. Software updates are no longer occasional events tied to recalls. They happen continuously, over the air, across the vehicle’s lifetime. This is what the s... » read more

Securing Camera Data: Introducing The MIPI CSE 2.0 Security Solution


By Dana Neustadter and Mehak Kalra High‑performance imaging has become a cornerstone of modern electronic systems. From mobile phones to advanced driver‑assistance systems (ADAS) and autonomous driving to robotics, extended reality (xR), medical devices, and industrial automation, cameras and imaging sensors are proliferating rapidly. These systems increasingly rely on MIPI Camera Serial... » read more

Securing the Software Defined Vehicle: How Rambus and Telechips Enable Safe, Scalable Automotive SoC


Automotive architectures are rapidly shifting from distributed ECUs to centralized, zonal computing models designed for the software-defined vehicle (SDV). As workloads such as AI-driven ADAS, digital cockpits, and OTA updates increase system complexity, automakers are consolidating functions onto high-performance SoCs, improving efficiency but raising new challenges in isolation and security. ... » 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

Delivering Automotive-Grade Quality With Customized FinFET Foundation IP


By Andrew Appleby, Daryl Seitzer, and Nafiz Ahmed The growing compute demands of modern vehicles are forcing chipmakers to venture into new territory. To deliver increased processor performance for engine and body control systems, one leading semiconductor supplier knew it had to move to an automotive-qualified FinFET technology process — a leap that would introduce significant new desi... » read more

Vision-Language-Action Models Arrive


The AI model type capturing the most attention across robotics and autonomous vehicles right now is the vision-language-action model, or VLA. At embedded AI conferences this year, particularly the recently held Embedded Vision Summit, VLAs were a main topic of discussion – not as a research curiosity, but as the architecture that teams building autonomous systems are actively targeting. If yo... » read more

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

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

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