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!
13-03-2025 | Texas Instruments unveiled the MSPM0C1104 at embedded world 2025 as "the world's smallest MCU." Alex...
13-03-2025 | Elektor provided live updates from embedded world 2025, Day 3! Learn about the...
12-03-2025 | Raspberry Pi showcased its latest AI and industrial tech at embedded world 2025, featuring the...
12-03-2025 | Day 2 at Embedded World 2025 in Nuremberg is here! Check out our daily report spotlighting...
12-03-2025 | Transform your Raspberry Pi into a high-fidelity music player with the Pimoroni Pirate Audio Headphone...
11-03-2025 | Join us live for Elektor Lab Talk #32 as Brian Tristam Williams and Jens Nickel bring you the...
11-03-2025 | It's Day 1 at embedded world 2025 in Nuremberg. Here we report on new tech and industry trends...
10-03-2025 | Qualcomm is acquiring Edge Impulse to expand its AI and IoT capabilities, enhancing on-device AI performance...
10-03-2025 | We are thrilled to announce that Elektor TV has officially reached 100,000 YouTube subscribers!...
10-03-2025 | Ready to push the limits of Edge AI? The STM32 Edge AI Contest offers a €5,000 prize pool for...
9-03-2025 | Join us live for Elektor Lab Talk #31 from Embedded World 2025! Brian and Jens will bring you...
6-03-2025 | Europe risks falling behind in the global quantum patent race. A new report warns that without stronger...
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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