After collaborations with SparkFun, Arduino, and Espressif, Elektor now welcomes Edge Impulse, the global leader in Edge AI development, as its 2025 guest editor. Together, we’re giving you the knowledge and tools to help bring machine learning out of the cloud and into your embedded designs.

Explore our edge AI-focused magazine — guest-edited by Edge Impulse and hitting newsstands in December 2025 — for hands-on Edge Impulse projects, step-by-step tutorials, and expert insights to guide your journey.

Elektor Guest Edition by Edge Impulse

Edge AI for Embedded Engineers

Edge AI is transforming how engineers build smarter, faster, and more efficient embedded systems. In this special guest-edited edition, Elektor teams up with Edge Impulse, a Qualcomm company and global leader in edge machine learning, to showcase practical, build-ready projects and insights that push AI to the edge of innovation.

From object detection and environmental sensing to voice-controlled appliances and industrial defect inspection, this edition is packed with real-world applications of embedded intelligence. Readers will learn how to deploy trained neural networks directly on compact, low-power devices such as the Arduino Nicla Vision, Nordic Thingy:53, Raspberry Pi, Nvidia Jetson Nano, and Seeed Wio Terminal.

The Collaboration: Engineering Meets Intelligence

“Edge AI is not just a buzzword; it’s where computing on microcontrollers — at the edge — and AI meet,” says Jens Nickel, Editor-in-Chief of Elektor. “In this special edition, we’re showing our readers that machine learning can be tangible, buildable, and fruitful for their own engineering work. Edge Impulse, founded by young enthusiasts and now part of Qualcomm with its huge ecosystem of platforms and tools, is helping to make that possible.”

For Mike Senese, Director of Content Marketing at Edge Impulse, the collaboration highlights a shared mission between innovation leaders: “Elektor has been inspiring engineers and innovators for decades. Together, we’re showing how accessible edge AI has become — it’s not just for data scientists anymore. With tools like Edge Impulse, anyone can collect data, train models, and deploy them to embedded devices quickly and intuitively.”

What’s Inside

This Elektor edition guest-edited by Edge Impulse explores every layer of the edge AI workflow, from data collection and model training to deployment and optimization:

  • End-to-End Edge AI: A hands-on object detection series that walks through the complete machine learning pipeline on embedded hardware.
  • High-Resolution, High-Speed Object Counting (Nvidia Jetson Nano, TensorRT): Pushing inference speed and precision for visual counting applications.
  • PCB Defect Detection with Computer Vision (Raspberry Pi): Smarter manufacturing through embedded vision.
  • Smart Building Ventilation with Sensor Fusion: AI-powered environmental optimization for energy efficiency.
  • Analog Meter Reading (Arduino Nicla Vision): A TinyML approach to automating analog infrastructure.
  • Smart Appliance Control Using Voice Commands (Nordic Thingy:53): Speech recognition at the edge.
  • Liquid Classification with TinyML (Seeed Wio Terminal + TDS Sensor): Combining IoT sensing and embedded ML for fluid analysis.
  • Surgery Inventory Object Detection: Applying real-time vision to healthcare logistics.

Plus, exclusive interviews with: Edge Impulse co-founders Zach Shelby and Jan Jongboom; Qualcomm Technologies VP of product management Manny Singh; and EDGE AI FOUNDATION CEO Pete Bernard. Also included are a Tech the Future essay titled “AI at the Edge: Powering the Next Generation of Devices,” an Industry Case Study on GlobalSense, and a Retro Article revisit: “Artificial or Artsificial?”

Why Edge AI Matters

Running AI directly on embedded hardware is no longer futuristic; it’s a design reality. Edge computing reduces latency, increases privacy, and enables real-time decision-making — all without relying on the cloud. With platforms like Edge Impulse, developers and educators can bridge the gap between machine learning theory and deployable embedded intelligence.

“Our goal is to make AI development as familiar and accessible as working with a microcontroller,” adds Senese. “This collaboration highlights that journey — from raw sensor data to deployed intelligence, all at the edge.”

The Edge Impulse Guest-Edited Edition

The Edge Impulse guest-edited edition of Elektor Magazine is slated to hit newsstands in early December 2025. Elektor will also publish a fully digital Bonus Edition, featuring tutorials and Edge Impulse-based projects.

The Bonus Edition will be available on ElektorMagazine.com and via the Elektor E-Zine. Subscribe here to get it delivered directly to your inbox.