
Explore the emerging tinyAutoML market, its challenges, opportunities, and potential impact on IoT and edge computing. Gain insights from industry experts on automating tiny machine learning applications.

Explore how TinyML and edge analytics predict equipment failures in high-tech manufacturing, reducing downtime and increasing productivity through SensiML and Adapdix EdgeOps integration.

Learn to deploy AI models on Jetson Nano using AWS ML and IoT services. Explore SageMaker, Greengrass, and real-time video processing for edge computing applications.

Explore a flexible multimodal learning framework for tiny devices, featuring depth separable layers and mixed precision quantization, with applications in COVID detection and object recognition.

Explore low-power federated learning for remote site maintenance using airborne sound, minimizing downtime and costs while adhering to GDPR regulations.

Exploring data-efficient learning techniques for compact representations in sensor-based human behavior modeling, focusing on domain adaptation and pretraining approaches for minimal labeled data scenarios.

Explore Intel's journey in integrating sensing technologies into personal computing devices, from Sandy Bridge to 11th Gen chipsets, enhancing user experiences and device capabilities.

Explore techniques for accelerating deep learning inference on Raspberry Pi's VideoCore GPU, including optimized tools, libraries, and compilers for enhanced performance without compromising accuracy.

Explore nRF9160 for cellular IoT asset tracking: LTE-M, smart GPS, low power design, and development tools for efficient, long-lasting tracking solutions.

Explore key factors and protocols for IoT cloud connectivity, including data handling, transport, wireless protocols, and power consumption considerations for cellular IoT product development.

Explore nRF9160 SiP for ultra-low power cellular IoT: LTE-M/NB-IoT connectivity, small form factor, extended battery life, GPS capabilities, and edge computing potential for innovative IoT applications.

Explore the nRF5340, a dual-core IoT SoC with advanced security, multiprotocol radio, and flexibility for complex applications like professional lighting, wearables, and industrial IoT.

Explore the Raspberry Pi Pico and RP2040 with industry leaders in this engaging webinar, covering technical aspects, design choices, and potential applications of these innovative microcontrollers.

Secure legacy devices, add cybersecurity, and integrate operational data into modern IIoT infrastructure using edge programmable industrial controllers for digital transformation initiatives.

Learn to integrate the VL53L0X Time of Flight sensor with Raspberry Pi Pico using MicroPython. Includes setup, library usage, and practical demonstrations for robotics applications.

Learn to control multiple servos using Raspberry Pi Pico, PCA9685, and MicroPython for robotics projects. Covers I2C communication, troubleshooting, and practical implementation with a robot example.

Learn to use HC-SR04 Range Finder with Raspberry Pi Pico, including voltage adjustment, wiring, and MicroPython programming. Hands-on demos and practical examples included.

Learn to create smooth servo motion using easing algorithms in MicroPython on Raspberry Pi Pico. Practical examples and real-world applications for robotics projects, including OpenCat implementation.

Learn to build an OpenCat robot using Raspberry Pi Pico and MicroPython. Covers modeling, motion, inverse kinematics, balancing, and servo upgrades. Includes live coding and demonstrations.

Explore the powerful, affordable Raspberry Pi Pico microcontroller for robotics projects. Learn its features, capabilities, and how to program it using MicroPython, comparing it to other popular boards.

Learn face detection using OpenCV and Python on Raspberry Pi Zero. Explore object detection, AI, neural networks, and computer vision fundamentals. Practical implementation and insights provided.