
Explore natural and artificial cognition, machine learning, and computer vision applications in healthcare, research, and autonomous vehicles with Professor Kalle Åström.

Learn to develop interactive retro-style games for PCB badges using open-source frameworks. Explore game creation techniques, overcome challenges, and adapt code for your own conference badge projects.

Learn to connect and extract raw data from the BNO055 9-axis sensor using Arduino. Covers hardware setup, library installation, coding, and data interpretation for accelerometer, gyroscope, and magnetometer readings.

Learn to implement people counting using TinyML on Wio Terminal, integrating ultrasonic sensors and Azure IoT Central for real-time monitoring and data visualization.

Explore how machine learning optimizes sensor systems, reducing resource usage while improving response. Learn about smart wake-up strategies and efficient data conversion at the edge.

Overview of training neural networks for gesture recognition using accelerometer data on a low-power device. Covers data collection, augmentation, network architecture, and performance for smartwatch applications.

Explore robust policies for self-driving vehicles, covering TransFuser for sensor fusion, PlanT for learned planning, and KING for identifying critical scenarios in autonomous driving.

Explore building a TinyML-powered artificial nose, from concept to implementation. Learn about hardware, sensors, models, and integrating TinyML applications into IoT ecosystems.

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

Explore sensor interfacing in Zephyr RTOS for IoT devices. Learn to add support for new sensors, interact with various types, and see demonstrations of temperature, pressure, and fingerprint sensors.

Explore AI's impact on Samsung's innovation, global opportunities, and ethical considerations in data growth, sensors, computing, and mobility.

Learn to integrate MQTT devices into Home Assistant, covering sensors, switches, and lights. Gain practical skills to add various MQTT devices and better understand official documentation.

Explore sensor systems and PWM control for autonomous vehicles, covering interfaces, challenges, and techniques for solid control using on-board mechanisms and microcontrollers.

Explore FarmBeats, an innovative IoT platform revolutionizing agriculture with AI-driven data collection from sensors, cameras, and drones. Learn how it overcomes connectivity challenges and enhances farm productivity.

Learn to create your own smart home system using free, open-source software. Explore practical demonstrations and step-by-step guidance for implementing DIY solutions.

Comprehensive tutorial series on Raspberry Pi, covering basics to advanced projects. Learn Linux, Python, GPIO, sensors, camera usage, OpenCV, and TensorFlow for hands-on IoT and computer vision applications.

Build and explore a DIY lunar rover using an Arduino kit. Learn about rover components, Mars missions, and navigate challenges in robotics and programming.

Explore edge computing for smart farms using K3s, sensors, and Raspberry Pi. Learn to design and implement real-time monitoring systems for agriculture in Latin America.

Explore open-source home automation solutions, from sensors to image processing, balancing comfort, openness, and usability in smart home projects.

Explore self-driving car technology, including autonomy levels, sensors, AI systems, and their impact on transportation. Gain insights into cutting-edge research projects in autonomous driving.

Explore the groundbreaking underwater network of cameras and sensors transforming our oceans into a global interactive laboratory, sparking an explosion of rich data about the world below.