Dive into edge AI: Edge Impulse guest-edited issue of Elektor
Elektor has released a 124-page edition of ElektorMag guest edited by Edge Impulse, a Qualcomm company, offering readers a deep dive into the exciting world of edge AI. The magazine features hands-on projects, in-depth tutorials, and expert guidance on a range of topics, including motion recognition, voice interfaces, and emerging vision-language models. Check out the magazine to learn about deploying efficient machine learning directly onto hardware.
“This year has been a turning point for edge AI,” noted 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 magazine aims to equip engineers, makers, and students with tools to explore embedded intelligence, from squeezing inference performance out of microcontrollers to building end-to-end ML workflows. Projects include keyword spotting, PCB defect detection, vision language models for the edge, smart appliance control, and more.
C. J. Abate, Elektor’s Director of Content and Engineering, underscored the importance of the collaboration: “With platforms like Edge Impulse, the world of edge AI is now available to every engineer, maker, and student.”
Inside the magazine
The magazine includes many projects, tutorials, and in-depth articles.
- 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 digital Bonus Edition — are posted available on the Edge Impulse Guest Edition page.
More edge AI content
Both eeNews Europe and Elektor are essential resources for edge AI-related content, including design projects, engineering tutorials, and industry news. Elektor Gold and Green Members can immerse themselves in these subjects. 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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