EDGE AI FOUNDATION Courses

Smart and Connected Soft Biomedical Stethoscope and Machine Learning for Continuous Real-Time Disease Detection

Discover how soft wearable stethoscope technology combines with machine learning to enable continuous cardiopulmonary monitoring and automated disease detection with 95% accuracy in clinical settings.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Monostable Multivibrator Networks - Extremely Low Power Inference at the Edge with Timer Neurons

Explore the potential of Monostable Multivibrator Networks for edge computing, focusing on timer-based neural networks and their implementation for low-power inference applications.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Ultra-Low Power Gesture Recognition with pMUT Arrays and Spike-based Beamforming

Explore ultra-low power gesture recognition using pMUT arrays and spike-based beamforming, achieving 86% accuracy through innovative spiking domain processing and neural networks.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Event Sensors for Embedded Edge AI Vision Applications - Design and Implementation

Explore event-based vision sensing technology and its applications in embedded edge AI systems, focusing on Prophesee's innovative sensor design for improved integration and power efficiency.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Powering Machine Learning Applications on ARM with Algae-Based Sustainable Batteries

Discover how algae-powered batteries can sustainably run machine learning applications on microcontrollers, combining renewable energy with efficient ML deployment techniques.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Should TinyML Processors Be Multi-core - Exploring Edge Computing Architecture

Explore the evolution and potential of multi-core processors in tinyML devices, examining design choices, workload scheduling, and future opportunities for efficient edge computing implementations.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Exploiting Forward-Forward Based Algorithm for Training on Device - TinyML Implementation

Explore the innovative Forward-Forward algorithm for on-device machine learning training, focusing on its advantages over backpropagation and implementation in resource-constrained environments.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

TinyDenoiser: RNN-based Speech Enhancement on Multi-Core MCU with Mixed FP16-INT8 Post-Training Quantization

Discover how to optimize speech enhancement algorithms using RNN-based models on multi-core MCUs, focusing on mixed-precision quantization and efficient software pipelining techniques.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Datasheets for Machine Learning Sensors - Standardization and Implementation

Explore the standardization of ML sensor documentation through a comprehensive datasheet template, covering hardware specs, model attributes, and performance metrics for enhanced transparency and usability.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Creating Individualized Solutions for Industrial-Grade and Environmental Problems with TinyML

Discover how to create tailored TinyML solutions for industrial and environmental challenges using cost-effective edge devices and individualized machine learning approaches.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

A Novel Mechanism for Edge ML Using Sparse Binary Coincidence Memories

Discover Sparse Binary Coincidence memories for edge ML - a revolutionary approach enabling efficient AI on small platforms through single-pass learning and robust feature detection.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Standardized AI Architectures for Secure TinyML

Explore standardized AI architectures for implementing secure machine learning on microcontrollers, focusing on framework solutions for memory, processing, and security challenges in edge computing.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Unleashing the Power of XIAO ESP32S3 Sense - Anomaly Detection, Image Classification, and Keyword Spotting with TinyML

Explore TinyML applications using XIAO ESP32S3 Sense for real-world machine learning tasks including anomaly detection, image classification, and keyword spotting with Arduino IDE.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

The Power of Diversity in Machine Learning - Building Equitable and Effective AI Systems

Explore how diversity in data, perspectives, and experiences shapes machine learning development, addressing bias and fostering inclusive AI systems that drive innovation and market success.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Fused Depthwise Tiling for Memory Optimization in TinyML Deep Neural Network Inference

Discover memory optimization techniques for TinyML deep neural networks through Fused Depthwise Tiling, enabling efficient deployment on microcontrollers with limited resources.

• YouTube
• 21 minutes
• Self-Paced
• Free Video