AI-Defined Vehicles Increase Pressure On Auto Ethernet Reliability


Key Takeaways: For AI-defined vehicles and onboard agentic AI, Automotive Ethernet provides high bandwidth for sensor data fusion, TSN ensures low latency and synchronization for real-time decisions, and MACsec secures the data link. Time-sensitive networking (TSN) is an essential protocol for ensuring 10BASE-T1S delivers data to where it needs to go on time. Still, it becomes less esse... » 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

How Long Will CAN Stick Around As Rival Networks Speed Up?


Key Takeaways Automotive Ethernet is rapidly becoming the backbone of software-defined vehicles for higher bandwidth, scalability, and advanced features like TSN and security that legacy protocols cannot match. CAN, LIN, and other legacy networks will not disappear quickly because they are deeply embedded, low‑cost, and proven, but they are increasingly seen as inadequate for future A... » read more

Auto Ethernet 10BASE-T1S Steps Up, With Tbps On The Horizon


Key Takeaways: Automotive Ethernet, particularly 10BASE-T1S, is emerging as a replacement for CAN in vehicle networks, with higher speeds anticipated for future autonomous and connected cars. The transition to Ethernet in automotive domains is not universal; some OEMs may retain CAN or LIN in certain areas due to cost, and integrating various Ethernet standards can be technically feasib... » read more

Blog Review: Mar. 18


Cadence's Jamdagni Trivedi explains the UALink Protocol Level Interface, which defines how devices exchange data and control information, and shares insights into its structure, functionality, and significance in multi-node accelerator systems. Synopsys' Dustin Todd argues that AI sovereignty will be defined by and built on strategic interdependence, where countries develop and retain meanin... » read more

Auto Security Accelerates With Standardization And Certified Silicon


Key Takeaways The automotive sector is actively developing and delivering secure parts and features ranging from secure boot to encrypted data and in-network protections. The cost of a breach can involve everything from ransomware to liability and/or damage to a brand. New standards are being introduced to ensure security, and technology developers are integrating cybersecurity requi... » read more

New Automotive Architectures Are Shaking Up Processor And Memory Choices


Key Takeaways Assisted and autonomous driving require more data from more sensors, and much faster processing of some of that data. The shift to software-defined vehicles and centralized intelligence makes it easier to identify where the most advanced processors and memories are required, and where older and less expensive technologies can be deployed. Technologies that were largely ... » read more

Can A Computer Science Student Be Taught To Design Hardware?


Key Takeaways New approaches are being devised and tested to address the talent shortage. Leveraging AI in design tools will help engineers become more efficient, and potentially could reduce the time it takes to train engineering students. EDA companies are looking at whether it's possible to train computer science and software engineers to become hardware engineers. A vari... » read more

Blog Review: Jan. 14


Arm's Paul Black demonstrates how lightweight LLVM sanitizers help detect undefined behavior, improve code quality, and expose hidden bugs in embedded C and C++ projects, with a focus on two sanitizers that can catch issues such as unsigned signed shift overflows, array overflows, and stack corruption. Imagination's Alex Pim provides an overview of LLM inference acceleration for mobile and e... » read more

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