Learn how purpose-built embedded Linux distributions can provide the smaller footprint, longer support lifecycle, and high reliability necessary for the intelligent edge.
A device designer faces many choices when determining how to architect an embedded solution. The Linux operating system offers faster innovation with artificial intelligence (AI) and machine learning, high levels of security, standards that are common across all industries, flexibility and adaptability for many use cases, and cloud-native and DevOps support.
But it doesn’t come without challenges. Is it worth it to invest in supporting Linux for several years? What about the number of common vulnerabilities and exposures (CVEs) that come up constantly throughout the product lifecycle?
Edge AI is booming, and STMicroelectronics is leading the way with the STM32N6 series—powerful, energy-efficient MCUs with built-in NPUs, AI-ready software tools, and robust security...
We take a look at a Discovery kit with an STM32N657X0 MCU from STMicroelectronics. It highlights the performance, efficiency, and versatility of the MCU in edge AI applications...
This video explores TE Connectivity’s HIVONEX High-Power Charging Inlets for fast and secure quick charging of up to 500 A at 1,000 VDC. Designed for industrial and commercial...
Discover the benefits of ARM Cortex-M85 based MCUs with Helium and TrustZone features that bring higher performance and robust security to motor control applications.
