World First: MACsec IP Receives ISO/PAS 8800 Certification For Automotive And Physical AI Security


The automotive industry is entering the age of physical AI. Vehicles are rapidly transforming into intelligent, software-defined systems that perceive their environment, make real-time decisions, and act in the physical world. As autonomy expands and AI workloads move to the edge, one reality is becoming clear: If the data cannot be trusted, the AI cannot be trusted. Following independent... » read more

Moving Electrons, Not Just Vehicles


Key Takeaways: There are several ways to convert AC power from the grid to DC power in the system. Some degrade the battery faster than others. Battery management systems monitor cell voltage, current, and temperature, helping to estimate state of charge, health, and useful remaining life. A PMIC with a multi-level converter is the most efficient way to get power from the battery to ... » read more

Reinventing Embedded Memory: Solving The SRAM Scaling Wall


As AI, automotive, and data centers continue to scale exponentially, one part of the chip has quietly become a bottleneck: embedded memory. Modern designs now dedicate more than half of their silicon area to SRAM, yet SRAM no longer scales with Moore's law in advanced CMOS nodes. The result? Larger chips, higher power, and rising costs. RAAAM is a deep-tech startup spun out of Bar-Ilan Unive... » read more

IC Security Threats Spike With Quantum, AI, And Automotive


Key Takeaways: The top challenge for the chip architect is building post‑quantum cryptography securely into real hardware from the start, not just selecting approved algorithms. Security must be treated as a core silicon architecture decision early on, especially for long‑lived, automotive, and multi‑vendor systems. Automotive cybersecurity now requires a holistic approach span... » read more

The One Bit Problem That Can Break a System


Key Takeaways: Bit flipping is no longer a rare reliability issue but a systemic risk driven by shrinking process nodes, higher clock speeds, lower voltages, and radiation exposure, leading to silent data corruption and potential system failure. The same mechanisms that cause accidental bit flips can be deliberately exploited through techniques such as clock, voltage, laser, and rowhamm... » read more

Embedded World 2026: Bringing Edge AI Into The Real World


Embedded World 2026 made one thing clear: AI is no longer confined to the cloud—it’s moving decisively onto the device. Across our demos and conversations, a consistent theme emerged: intelligence is shifting closer to where data is created—into devices, environments, and the physical world. From smart homes to industrial systems and a wide range of emerging robotics applications, the ... » read more

Secure at First Silicon: Reducing Cost and Risk


Security weaknesses related to side-channel leakage are often discovered far too late in the lifecycle of a chip. Design teams may focus on functionality, performance, and power, assuming that a robust algorithm like AES is enough to guarantee security. Only after first silicon comes back – and an expert lab starts probing power traces or EM emissions – do they realize that sensitive inform... » read more

Enabling Physical AI and Robotics: Platform for the Intelligent Edge


Physical AI has emerged as an essential technology driving the future of robotics — it closes the loop between perception, reasoning, and action in the real world using powerfully trained AI models. But for robots and autonomous machines, that loop only works well if it runs where the world is actually sensed: at the Edge. Instead of streaming raw sensor data to a data center for interpretati... » read more

Ensuring Trustworthiness of AI-Enhanced Embedded Systems


Artificial Intelligence (AI) is unlocking new capabilities in safety-critical systems, from enhanced motor control to autonomous driving. However, integrating AI safely remains a significant challenge due to its data-driven nature and operation in open and real-world variability. While established standards such as ISO 26262 and ISO 21448 provide a foundation for functional safety and intended ... » read more

Accelerating Automotive Innovation: SRAM Compiler Breakthroughs for 5nm and 3nm SoCs


Modern automotive SoCs must deliver extreme performance, functional safety, and long‑term reliability — all under growing power and thermal constraints. This white paper explains how next‑generation Synopsys SRAM Compiler IP for TSMC N5A and N3A helps design teams meet these challenges with measurable gains in PPA, reliability, and system robustness. Why Read this White Paper: See... » read more

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