
Exploring the journey from tinyML face detection demos to large-scale commercial deployment, addressing real-world challenges and bridging the gap between prototypes and practical applications.

Explore the growing impact of tinyML devices in everyday life, from always-on voice in phones to environmental sensing in machines, and learn about the market's rapid expansion and technological requirements.

Memory-efficient hand gesture recognition using hyperdimensional computing and sensor fusion. Improves accuracy by 17.79% while reducing memory footprint, addressing limb position changes for human-machine interfaces and prosthetics.

Explore hardware-aware training for efficient keyword spotting, focusing on Legendre Memory Unit networks to achieve state-of-the-art accuracy and power efficiency on various hardware platforms.

Explore extreme edge AI, energy efficiency, and acceleration techniques for TinyML applications with insights from the PULP platform and RISC-V processors.

Discover the tinyML Vision Challenge: Create innovative computer vision applications using tinyML, compete for $6k in prizes, and gain recognition from the tinyML Foundation.

Explore advanced network quantization and compression techniques using AIMET to optimize AI models for efficient deployment on end devices, addressing memory, compute, and energy constraints.

Learn to build an IMU-based gesture recognition model for Arduino, covering data gathering, training, and deployment using TensorFlow Lite Micro and CMSIS-NN library.

Detailed walkthrough of Arduino 101 board featuring Intel Curie module, covering hardware specs, components, and schematic analysis. Insights for electronics enthusiasts and makers.

Learn to interface Arduino with DS18B20 1-Wire temperature sensors. Covers hardware setup, coding, bus communication, temperature calculations, device addressing, and advanced features like bus searching and alarms.

Learn to interface computer applications with USB FTDI D2XX drivers, covering setup, programming, I/O states, and various modes for enhanced hardware communication and control.

Learn to build an Arduino-controlled reflow oven for PCB soldering, covering wiring, testing, isolation, and circuit design in this hands-on tutorial.

Detailed walkthrough of Arduino/nRF24L01 wireless module for remote monitoring. Covers power supply, data transmission, microcontroller, PCB design, and troubleshooting tips.

Learn to implement timer interrupts on Arduino for efficient task scheduling and process offloading. Covers overflow and comparator methods with practical examples and code demonstrations.

Explore wireless communication using affordable 433MHz RF modules for Arduino projects. Learn to create remote-triggered effects and control systems for interactive puzzle props.

Explore novel technologies for successful embedded machine learning projects, addressing challenges and ensuring customer success through innovative design and engineering philosophies.

Explore the Endpoint AI revolution with Arm's standardized computing platform, focusing on TinyML applications, robust software stacks, and specialized processors for efficient machine learning on IoT devices.

Explore tinyML's potential for positive impact through expert insights on vision, value, device recommendations, education, and involvement opportunities.

Explore AutoML for TinyML with Edge Impulse's EON Tuner. Learn how to optimize embedded machine learning models within device constraints for innovative applications.

Explore TinyML's potential in developing countries for medicine, agriculture, and conservation. Learn about low-cost, battery-powered machine learning applications adaptable to local needs.

Learn to create an innovative "Heart Transplant" Escape Room puzzle using Arduino, RF communication, and LED animations. Master hardware setup, component wiring, and Arduino coding for a unique interactive experience.