Image of PetaLinux NVMe Break Through 7 GB/s on the AMD ZCU106 Evaluation Kit with Design Gateway’s Solution PetaLinux NVMe Break Through 7 GB/s on the AMD ZCU106 Evaluation Kit with Design Gateway’s Solution Publish Date: 2026-03-11

An introduction to the world’s first NVMe PetaLinux solution operating at PCIe Gen4 speed without relying on the PCIe Hard Block of the FPGA.

Image of Simplify AMR and AGV Integration with ROS 2 Components Simplify AMR and AGV Integration with ROS 2 Components Publish Date: 2026-03-10

Accelerate AMR and AGV integration using motor controllers, IMUs, and ToF modules with native ROS 2 drivers.

Image of How to Deploy Edge AI on FPGAs with Familiar Tools How to Deploy Edge AI on FPGAs with Familiar Tools Publish Date: 2026-02-17

Learn how Altera Agilex 5 and Agilex 3 FPGAs with AI tensor blocks address edge AI challenges while speeding development with the FPGA AI Suite.

Image of Texas Instruments MSPM0G110x: integrated analog performance in an 80 MHz Cortex-M0+ package Texas Instruments MSPM0G110x: integrated analog performance in an 80 MHz Cortex-M0+ package eMagazine Articles

Texas Instruments’ MSPM0G110x family addresses these challenges by integrating the analog front-end directly into an 80 MHz Arm Cortex-M0+ microcontroller.

Image of Arduino UNO Q: Linux computing meets real-time control in the classic form factor Arduino UNO Q: Linux computing meets real-time control in the classic form factor eMagazine Articles

If you’ve ever needed to combine a Linux computer with an Arduino for AI and machine learning projects, the UNO Q offers both within a single board.

Image of Simplify the Design of Secure Line-Powered Smart Devices with Low-Power Multiprotocol Wireless SoCs Simplify the Design of Secure Line-Powered Smart Devices with Low-Power Multiprotocol Wireless SoCs Publish Date: 2026-02-04

Learn how multiprotocol wireless SoCs simplify the design of next-generation line-powered smart devices for LED lighting, smart plugs, and switches.

Image of Simplify AI with Arduino’s Two “Brains” in One Environment Simplify AI with Arduino’s Two “Brains” in One Environment

Simplify AI prototyping and development using the Arduino UNO Q’s Linux-capable MPU, real-time MCU, and unified App Lab tool.

Image of Accelerate Advanced IoT Deployment with Multiprotocol Wireless MCU Modules Accelerate Advanced IoT Deployment with Multiprotocol Wireless MCU Modules Publish Date: 2025-12-12

Learn how multiradio wireless MCU modules accelerate the design, certification, and deployment of advanced multiprotocol IoT devices.

Image of Accelerate MCU and MPU Projects Using a Flexible Development Platform Accelerate MCU and MPU Projects Using a Flexible Development Platform Publish Date: 2025-12-11

Learn how a modular development platform helps designers solve processor selection challenges and accelerate prototyping for both MCUs and MPUs.

Image of How to Simplify Bluetooth Low Energy Connectivity Using Tiny Drop-in Modules How to Simplify Bluetooth Low Energy Connectivity Using Tiny Drop-in Modules Publish Date: 2025-12-10

Feature-rich BL54L15 modules from Ezurio provide a clear path to high-performance Bluetooth Low Energy connectivity in a tiny package.

Image of Highly Integrated MCUs Simplify Precise and Efficient Motor Control Design Highly Integrated MCUs Simplify Precise and Efficient Motor Control Design

Use the PSOC Control C3 MCUs’ combination of fast analog, CORDIC math, and high-resolution PWM for efficient and precise motor control.

Image of Apply an Edge AI Drop-In Solution to Enhance Wireless Condition-Based Monitoring Apply an Edge AI Drop-In Solution to Enhance Wireless Condition-Based Monitoring Publish Date: 2025-09-30

A drop-in solution with edge AI enables immediate deployment of wireless condition-based monitoring with real-time notification of vibration anomalies.

Image of Midrange Vision AI Microprocessors for Edge Applications Midrange Vision AI Microprocessors for Edge Applications Publish Date: 2025-07-17

Efficient, low-power vision AI microprocessors enable real-time inference at the edge for robotics, surveillance, and smart home devices.

Image of An Easier Way to Build Powerful Edge AI Applications An Easier Way to Build Powerful Edge AI Applications

A multicore processor, development board, and software combine to speed the design of edge AI applications.

Image of Standardizing Smart Home Interconnectivity with 'Matter' Standardizing Smart Home Interconnectivity with 'Matter'

Platform providers, device manufacturers, and semiconductor companies like Silicon Labs converge around the Matter protocol for smart device interconnectivity.

Image of How to Use FPGAs in Resource-Constrained Applications How to Use FPGAs in Resource-Constrained Applications Publish Date: 2025-05-07

Learn how efficiency-optimized FPGAs meet embedded design needs with integrated AI acceleration, Arm processors, and low-power features for edge systems.

Image of TI Offers MCUs for Many Needs: How to Find the Right Option TI Offers MCUs for Many Needs: How to Find the Right Option

TI's extensive line of ARM Cortex-M0+ microcontrollers provide designers an extensive range of options for embedded and smart device applications.

Image of How and Why Microcontrollers Can Help Democratize Access to Edge AI How and Why Microcontrollers Can Help Democratize Access to Edge AI Publish Date: 2025-02-18

Edge AI and microcontrollers enable efficient, scalable AI processing, reducing costs and power consumption while optimizing real-time applications.

Image of Webinar – Explore Embedded ML Inference on ARM®-Based Microcontrollers Webinar – Explore Embedded ML Inference on ARM®-Based Microcontrollers

Learn how machine language inferences using ARM® Cortex-M55 with Ethos-U55 can increase performance and decrease power consumption in this webinar.

image of Explore embedded ML inference on arm-based microcontrollers webinar Explore embedded ML inference on arm-based microcontrollers

Join our one-hour webinar to learn how to deploy Cortex-M55 and U55 processors in your own projects.