26-12-2024 | Let’s dive into a new batch of free AI-related articles! Download the next portion of the Guest-Edited AI...
24-12-2024 | Season’s Greetings from Elektor! As we celebrate the holidays, we’re grateful for our amazing community of engineers...
23-12-2024 | Discover GreatScott!’s creative challenges, clever solutions, and future DIY electronics projects in this...
19-12-2024 | Join our enegineers for Elektor Lab Talk on December 19. We'll dive into LED tech, recent...
19-12-2024 | More artificial intelligence-related content awaits you! Download the next free installment of the Guest-Edited...
18-12-2024 | Check out the design, features, and applications of the Elektor Audio DSP FX Processor board, showcasing...
12-12-2024 | Quantum computing takes a leap forward with a modular architecture developed by researchers at the University...
12-12-2024 | Over the next few weeks, we will declassify new sections of a Guest-Edited AI Bonus Edition of Elektor...
11-12-2024 | ST’s STM32N6 microcontroller brings AI capabilities and advanced multimedia features to edge applications, with options...
9-12-2024 | If your notebook has dead batteries — perhaps no longer commercially available — or a failure...
9-12-2024 | Discover how Arduino’s transition to ZephyrOS is creating new possibilities for embedded development on...
9-12-2024 | The Raspberry Pi 500 packs Raspberry Pi 5 power into a sleek keyboard design, ideal for...
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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