tinyML Courses

A Battery-Free Long-Range Wireless Smart Camera for Face Detection

Explore battery-free wireless smart cameras for face detection using edge AI and low-power microcontrollers. Learn about energy harvesting, tiny ML algorithms, and novel hardware architectures for IoT devices.

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

tinyML Vision Challenge - Intel-Luxonis DepthAI Platform Overview

Explore Intel and Luxonis' DepthAI platform for advanced vision solutions. Learn about AI inference, OpenVINO toolkit, and developing spatial edge applications using the LUX-ESP32 device.

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

Lessons Learned from Building a TinyML-Powered Artificial Nose

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

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

EMEA 2021 Tiny Talks- Image-Based Target Identification on a Tiny RISC-V Multi-Core Application

Explore cutting-edge RISC-V multicore technology for image-based target identification, featuring GAP9 processor and innovative algorithms for advanced audio processing in hearable devices.

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

Bio-inspired Neuromorphic Circuits Architectures for Ultra-Low Power AI

Explore bio-inspired neuromorphic circuits for ultra-low power, brain-like computing. Learn strategies for robust, low-latency processing using electronic neural elements, with applications in extreme-edge scenarios.

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

TinyML Talks - Building TinyML Applications Using Rune

Explore containerization for TinyML apps using Rune and Hammer. Learn to build efficient, portable solutions for healthcare, field ops, and telecom, with a focus on cough detection in public spaces.

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

TinyML Talks - SRAM Based In-Memory Computing for Energy-Efficient AI Inference

Explore SRAM-based in-memory computing for energy-efficient AI inference, covering bitcell circuits, architectures, and design optimization for improved performance in low-power processors.

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

Hypervector Design for Efficient Hyperdimensional Computing on Edge Devices

Explore hyperdimensional computing optimization for edge devices, reducing model size and energy consumption while maintaining accuracy in lightweight machine learning applications.

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

SWIS: Shared Weight Bit Sparsity for Efficient Neural Network Acceleration

Explore SWIS, a quantization framework for efficient neural network inference acceleration, offering improved performance and storage compression through weight decomposition and scheduling algorithms.

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

hls4ml: An Open-Source Co-Design Workflow for Scientific Low-Power Machine Learning Devices

Explore hls4ml, an open-source workflow for implementing machine learning algorithms on FPGAs and ASICs, enabling real-time processing for scientific applications and accelerating discoveries.

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

TinyML Summit 2021 Tiny Talks - TinyML Software Runtime for Hybrid Multicore Architecture

Explore software runtime for hybrid multicore architecture in TinyML, focusing on efficient resource allocation, minimized processing overhead, and optimized memory transfers for edge AI hardware.

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

How Adaptive AI Solves Big Challenges for tinyML

Explore how Adaptive AI addresses challenges in tinyML, enabling efficient deployment of Edge AI models for smart devices and enterprise solutions.

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

Adaptive Neural Networks for Agile TinyML - Keynote

Explore adaptive neural networks for efficient tinyML, enabling dynamic footprint minimization and runtime flexibility. Learn about throttleable networks, controller training, and hardware acceleration.

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

Market Opportunities for Edge AI

Explore market opportunities for edge ML with industry experts, discussing growth potential, future trends, and promising technologies in industrial applications, smart buildings, and IoT.

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

TinyML Journey: From Face Detection Demo to Real-Life Commercial Deployment

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.

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