Elektor is proud to welcome Edge Impulse, a Qualcomm company, as our 2025 guest editor for an in-depth edition dedicated to the rapidly advancing world of AI at the edge. Packed with detailed projects and expert-led tutorials on motion recognition, voice interfaces, and vision-language models, this issue empowers you to deploy efficient machine learning directly onto real hardware. 

"This year has been a turning point for edge AI," notes Mike Senese, Head of Content at Edge Impulse. "We’re seeing it in meetings, conferences, and in the field. Major customers are shipping products made possible by Edge Impulse, while global
powerhouses are quickly focusing on intelligence at the edge."

Check out the Edge Impulse Guest Edition page for details about the magazine and the Bonus Edition.
 
Edge impulse edition 2025 cover
Edge Impulse guest-edited edition 2025

Inside the Edge Impulse Guest-Edited Edition

Whether optimizing MCUs for inference or taking your first steps into embedded intelligence, this issue will inspire you to push the boundaries of what’s possible. With platforms like Edge Impulse, the world of edge AI is now available to every engineer, maker, and student. This edition covers a wide range of topics with detailed projects, background articles, and more.
 
TOC Edge Impulse Guest Edition 2025
Table of contents
  • What the Heck Is Edge AI Anyway?: Bringing Intelligence to Device
  • Meet Edge Impulse Studio: Easily Build and Deploy Edge AI Models
  • Keyword Spotting with Edge Impulse: On-Device Voice Recognition
  • Crash Course: Getting Started with Edge Impulse: Learn to Collect, Train, and Deploy an ML Model with the Arduino Nano 33 BLE Sense
 
Edge impulse data acquisition
Edge Impulse Studio: build and deploy edge AI models
  • Motion Recognition with Anomaly Detection: An End-to-End Tutorial
  • Questions from the Elektor Community: Get to Know Edge Impulse
  • A Look Into the Future: AI at the Edge: Powering the Next Generation of Devices
  • Review: Thundercomm Rubik Pi 3: Raspberry Pi Familiarity Meets Edge AI
  • PCB Defect Detection: Computer Vision with Raspberry Pi
 
Edge impulse object detection
Object detection model running on a Raspberry Pi 4
  • Getting Started with Object Detection on Edge Devices
  • Key Terms for Understanding Edge AI and Machine Learning
  • A New Chapter for Arduino: From Hobby Board to Edge Computing Powerhouse
  • Vision Language Models for the Edge: Boost Power, Efficiency with Model Cascading
  • Smart Appliance Control Using Voice Commands with the Nordic Thingy:53
 
Energy meter AI - Dataset in Edge Impulse
Energy Meter project: dataset in Edge Impulse
  • AI Toaster: When Edge AI Meets Breakfast
  • Project Update #5: ESP32-Based Energy Meter: Using Edge AI to Recognize Household Loads
  • Smart Ventilation System: Fusing Sound and Environmental Data
 
Smart ventilation system
Smart ventilation system
  • Scaling AI to the Smallest Devices
  • Optimizing Power Efficiency in Battery-Driven Edge AI Devices
  • Leadership, Embedded ML, and the Edge Revolution
  • Bringing Voice Control to Earbuds and Headsets

More Edge AI  

Elektor is an essential resource for edge AI-related content. Elektor Gold and Green Members can immerse themselves in these subjects all year! Our members enjoy full access to Elektor’s online library, as well as a 10% discount on many products in the Elektor Store. Become a Member today! 

We will also post the free Bonus edition associated with this magazine on our Edge Impulse page.

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