Deploying large AI models to tiny embedded devices like Arduino and Raspberry Pi requires aggressive model slimming through quantization, pruning, and distillation, careful selection of runtimes such as TensorFlow Lite, and addressing power, latency, and debugging challenges to achieve real‑time inference.
Qualcomm announced it will acquire Arduino to extend its reach to long‑tail developers using Qualcomm chips, leveraging Arduino's 33 million‑user community, introducing the dual‑brain UNO Q board and the App Lab IDE to accelerate AI‑enabled embedded solutions across industries.
To ensure reliable performance‑testing data despite fluctuating ambient temperatures, the team designed and assembled a low‑cost, Arduino‑controlled temperature chamber for mobile devices, detailing the hardware architecture, circuit design, component list, code implementation, and thermal‑insulation optimizations.
This article introduces and compares several popular IoT development boards—including Arduino series, XiaoXiong, and STM32F429—detailing their hardware features, performance differences, power options, communication interfaces, and typical use cases for embedded projects.
This article presents a step‑by‑step guide to designing and building a Gongfu tea‑making robot, covering embedded development basics, hardware modularization, controller design, platform comparisons, power supply considerations, and complete Python code for servo control and action sequencing.
The article reviews twelve leading IoT platforms—such as Temboo, Ubidots, Cayenne, ThingSpeak, TheThings.io, Xively, Kaa, Google Cloud IoT, Azure IoT, IBM Watson IoT, Artik Cloud, and AWS IoT—highlighting their key services for data ingestion, device management, security, analytics, and integration to help developers build scalable, secure IoT projects.
This article presents three hands‑on STEM case studies—a gear‑driven fan, an automatic street‑light using light sensors, and an Arduino‑based robot—demonstrating how engineering design thinking can be integrated into middle‑school curricula to foster interdisciplinary learning and problem‑solving skills.
This article highlights essential open-source platforms—Arduino, Home Assistant, Node-RED, Zetta, and Flutter—that empower developers to build robust IoT applications across various verticals, offering ease of use, extensive community support, and versatile integration capabilities.
This tutorial walks you through designing, wiring, coding, and 3D‑printing a split mechanical keyboard using an Arduino Leonardo, matrix scanning, diodes for key‑ghosting prevention, and custom keycaps, providing a complete DIY solution for programmers seeking ergonomic, programmable keyboards.
