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 as possible.... » read more

Defending Against AI-Enabled Data Fusion


Key Takeaways:  By fusing vast amounts of white-, gray-, and black-market data, attackers can build a digital twin of a person and their environment, making targeted attacks far easier. The intersection of AI and cybersecurity is the data itself. Trustworthy fusion depends on authenticated, integrity‑checked inputs and verifiable, attributable AI outputs. Defending against AI-enab... » read more

Accelerating Computational Lithography With GPU Rasterization


By Loay Hegazy, Mohamed Taher, and Sherif Hammouda Semiconductor manufacturing at advanced nodes has become a race against physics. Even as feature sizes shrink, the tools that design and validate these circuits must operate with precision and speed. We show in a recent research paper that one part of the post-tapeout flow, rasterization, can be significantly sped up by deploying GPUs for ma... » 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

Three Things DSP Adoption Can Teach Us About Edge AI


Edge AI is reaching a familiar inflection point, much like Digital Signal Processors (DSPs) did in the 1990s, with adoption challenges including the need for powerful specialized hardware, fragmented tooling, and significant complexity for developers. DSPs gained traction because they delivered substantially better power efficiency and performance for workloads that general-purpose processors h... » read more

NVMe 2.0 Explained: What’s New And Why It Matters


Non-Volatile Memory Express (NVMe) has become the dominant protocol for high-performance storage across client SSDs, enterprise drives, and hyperscale data centers. With NVMe 2.0, the specification expands beyond traditional block-based SSD access with new command sets, broader media support, improved transport organization, and enhancements for modern deployments. This post explores what is n... » read more

Platform Firmware Resiliency: How To Protect Your Data Center From The Ground Up


Data centers have become the foundation of modern digital infrastructure, but one of their most critical security layers remains dangerously exposed. Platform firmware, which controls everything from system initialization to hardware configuration, is increasingly targeted by sophisticated cyberattacks. A successful firmware compromise is difficult to detect, survives reboots, and can give atta... » 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

Fine-Tuning Humanoid Vision And Movement


Key Takeaways: Humanoids and autonomous vehicles share a zonal architecture, a need for FuSa, and a reliance on radar technology to see around corners and through objects. Multiple cameras with different fidelities can better replicate a human’s field of view; for example, some can provide wide fields of view at low grade, low fidelity, while others strive for infinite fidelity in a... » 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

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