tinyML Courses

Distributed On-Sensor Compute System for AR/VR Devices - A Semi-Analytical Simulation Framework

Explore a semi-analytical simulation framework for power estimation in distributed on-sensor compute systems for AR/VR devices, focusing on smart image sensors and workload partitioning.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Novel Device and Materials in Emerging Memory for Neuromorphic Computing

Novel devices and materials for emerging memory in neuromorphic computing, focusing on innovative approaches to enhance computing performance, energy efficiency, and reliability at the nanoscale.

• YouTube
• 1 hour
• On-Demand
• Free Video

Battery Optimized People Counting Using FIR and AI

Explore battery-optimized people counting using FIR and AI, covering product development, power efficiency challenges, AI implementation, and quality assurance for innovative crowd monitoring solutions.

• YouTube
• 53 minutes
• On-Demand
• Free Video

How a Middle School Girl Solves a Real-Life Challenge Using TinyML - Gas Leak Detection

Discover how a 6th-grader built a gas leak detection device using tinyML, Wio Terminal, and Edge Impulse. Learn about the project's development, challenges, and future plans, plus insights on getting started with tinyML for young learners.

• YouTube
• 48 minutes
• On-Demand
• Free Video

TinyML Talks Germany - AutoFlow - An Open Source Framework to Automatically Implement Neural

Explore AutoFlow: an open-source framework for automating neural network implementation on embedded devices, covering model building, optimization, and deployment.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Accelerate ML Development With Cloud-Based Arm Cortex-M Models

Explore cloud-based Arm Cortex-M models for accelerated ML development, featuring Virtual Hardware integration, Python-scriptable peripherals, and TensorFlow optimizations.

• YouTube
• 55 minutes
• On-Demand
• Free Video

TinyML Talks - On-Device Model Fine-Tuning for Industrial Anomaly Detection Applications

Explore on-device model fine-tuning for industrial anomaly detection, improving flexibility and adaptability of ML models while reducing infrastructure costs and operational efforts.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Machine Learning Without Batteries - The Case for Light-Powered TinyML

Explore light-powered tinyML for batteryless smart sensors, covering design methodology, gesture detection, and implications for IoT. Learn about energy harvesting and sustainable machine learning solutions.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Exploring Techniques to Build Efficient and Robust TinyML Deployments

Explore techniques for efficient TinyML deployments, covering data challenges, quantization, and handling out-of-distribution data for robust edge AI applications.

• YouTube
• 57 minutes
• On-Demand
• Free Video

Application of Ultra-Low-Power and Resource-Constrained Devices to Improve Health Care Delivery in Resource-Constrained Communities

Explore tinyML applications in healthcare, focusing on resource-constrained communities. Learn how ultra-low-power devices can improve diagnosis, monitoring, and logistics in challenging environments.

• YouTube
• 39 minutes
• On-Demand
• Free Video

TinyML Talks - Software-Hardware Co-design for Tiny AI Systems

Explore efficient AI models, hardware-friendly compression, and topology-aware design for resource-constrained systems. Learn cross-optimization techniques and distributed learning for scalable AI solutions.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Advanced Anomaly Detection Made Easy

Advanced anomaly detection techniques for embedded ML, focusing on custom DSP blocks, feature importance, and threshold optimization. Learn to implement these methods for various IoT applications using Edge Impulse.

• YouTube
• 1 hour
• On-Demand
• Free Video

TinyML Talks - Oculi Is Putting the Human Eye in A.I.

Innovative imaging technology mimicking human vision for efficient machine perception, combining sensing and pre-processing on a single chip for superior energy-delay performance in AI applications.

• YouTube
• 54 minutes
• On-Demand
• Free Video

Lightweight Face Detection for Ultra-Low Power AI Processors - tinyML Asia 2021

Lightweight face detection method for ultra-low power AI processors, featuring real-time application and accuracy in various scenarios. Explores implementation on Himax WE-I Plus platform for always-on sensing products.

• YouTube
• 28 minutes
• On-Demand
• Free Video

An Approach to Dynamically Integrate Heterogeneous AI Components in Multimodal User Authentication - tinyML Asia 2021

Approach to dynamically integrate heterogeneous AI components for multimodal user authentication, focusing on flexibility, performance, and energy efficiency in battery-powered devices.

• YouTube
• 23 minutes
• On-Demand
• Free Video