Download the free Embedded & AI bonus edition from Elektor! Inside, we cover a virtual assistant with ChatGPT and Raspberry Pi, connected autonomous vehicles, the Intel 8279 keyboard/display interface, Makerfabs SenseLoRa, and more. The edition will be available for download on or around March 6, 2025!
17-07-2025 | Embedded systems demand safe, reliable code. Join us on Wednesday, July 30 at 16:00 CEST...
15-07-2025 | In Elektor Lab Talk #36, our editors and special guests will take you on a tour of their most...
14-07-2025 | As quantum computing threatens to upend today’s encryption standards, IoT device makers face a dilemma: future-proof...
14-07-2025 | Debugging firmware after deployment can be a nightmare. But what if you could catch errors before your...
12-07-2025 | The new currency of global power isn't oil and gas — it's semiconductor technology. As the engine...
10-07-2025 | Looking for new IoT- and sensor-related projects and insights? Download the free IoT &...
8-07-2025 | Join Eben Upton and Nick Russel live on July 29 for EEI #53! Discover how Europe’s electronics...
7-07-2025 | Want to build your own smart car dashboard? You can turn your car into a data powerhouse with a DIY...
7-07-2025 | In the first part of this audio synthesis series, we explored the block diagram and key functions of...
4-07-2025 | Tired of loud TV ads? In 2012, Peter de Bruijn built the Mini-Mute — a clever circuit that let...
3-07-2025 | The July/August 2025 edition of Elektor is out. The IoT & Sensors edition has something for...
2-07-2025 | Raspberry Pi has unveiled the RMC20452T, its debut radio module designed to provide easy-to-integrate Wi-Fi...
A 3D light show that will astound you with its combinations. Inexpensive and easy to make thanks to an Arduino controller, and with no need for printed circuit boards. Ideal for beginners and enthusiasts, the project promises both simplicity and creativity.
The Portenta Machine Control is a fully-centralized, low-power, industrial control unit able to drive equipment and machinery. It can be programmed using the Arduino framework or other embedded development platforms.
This book is a case study in embedded design including discussion of the hardware, processor initialization, low‑level driver development, and application interface design for a product.
The main usage of this board is in artificial intelligence applications (AI) which generally require large amounts of processing power and memory. It marries an Arm Cortex-M4 processor with a floating-point unit (FPU), convolutional neural network (CNN) accelerator, and RISC-V core into a single device.
Google AIY Projects brings do-it-yourself artificial intelligence to your maker projects. The Google AIY Vision Kit lets you build an image recognition device that can see and identify objects, powered by TensorFlow’s machine learning models.
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