New ElektorMag spotlights edge AI in guest edition by Edge Impulse
Elektor has published a 124-page edition of ElektorMag curated by Edge Impulse, a Qualcomm company, offering readers a deep dive into the accelerating world of edge AI. The issue features hands-on projects, in-depth tutorials, and expert guidance on motion recognition, voice interfaces, and emerging vision-language models — all with a focus on deploying efficient machine learning directly onto 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.”
The guest-edited edition aims to equip engineers, makers, and students with practical tools to explore embedded intelligence, from squeezing inference performance out of microcontrollers to building their first end-to-end ML workflows. Projects include keyword spotting, vision language models for the edge, smart appliance control, PCB defect detection, and more.
C. J. Abate, Elektor’s Director of Content and Engineer, underscores the importance of this collaboration: “With platforms like Edge Impulse, the world of edge AI is now available to every engineer, maker, and student.”
Inside the edition
Below are some of the many projects, tutorials, and in-depth articles included in the magazine.
- 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
Table of contents
- 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
- Getting Started with Object Detection on Edge Devices
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
- AI Toaster: When Edge AI Meets Breakfast
Easily build and deploy edge AI models
- Project Update #5: ESP32-Based Energy Meter: Using Edge AI to Recognize Household Loads
- Smart Ventilation System: Fusing Sound and Environmental Data
- 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 details — including the free companion Bonus Edition — are available on the Edge Impulse Guest Edition page.
More edge AI content
Both eeNews Europe and Elektor are go-to resources for edge AI-related content, including projects, tutorials, and news. 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 an Elektor Member today!
Editor’s note: eeNews Europe is an Elektor International Media publication.
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