tinyML Courses

On-Device Learning Under 256KB Memory - Challenges and Solutions for IoT Devices

Explore on-device learning for IoT devices with limited memory. Learn techniques for efficient model adaptation, quantization-aware scaling, and sparse updates to enable continuous learning on tiny hardware.

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

TinyML Talks Germany - Neural Network Framework Using Emerging Technologies for Screening Diabetic

Innovative framework using neural networks and emerging technologies for efficient screening of Diabetic Retinopathy, achieving high accuracy and significant improvements in energy consumption and latency.

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

TinyML Talks South Africa - What Is TinyML?

Explore tinyML applications, tools, and resources in South Africa. Learn about this emerging technology's potential and engage in community discussions for future workshops and events.

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

TinyML Talks - The New Neuromorphic Analog Signal Processor Concept and Technology Platform

Explore neuromorphic analog signal processing technology for ultra-low power, high-accuracy neural network implementations in sensors, combining analog and digital components for efficient data processing.

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

State of the TinyAutoML Market - Keynote

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.

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

tinyML Trailblazers: Success Stories with Mouna Elkhatib

Explore tinyML success with Mouna Elkhatib, AONDevices CEO. Learn about voice processing innovations, entrepreneurial challenges, and future trends in edge AI and IoT technologies.

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

TinyML Talks - State of Hardware & Software Ecosystem for Low-Power ML Applications on RISC-V

Explore RISC-V's open ISA, hardware implementations, and software ecosystem for low-power ML applications. Learn about specifications, cores, boards, and opportunities in this evolving standard.

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

tinyML Trailblazers - Success Stories in TinyML with Thierry Moreau

Explore tinyML success stories with Thierry Moreau, discussing OctoML's journey, Apache TVM, deployment challenges, and the future of edge AI in an interactive conversation.

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

Sensors and Machine Learning: Waking Smarter for Less

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.

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

Sensing Applications as a Driver for TinyML Solutions

Explore intelligent MEMS applications in motion learning, sports analytics, and environmental sensing. Learn how domain knowledge optimizes TinyML for ultra-low power contexts and shapes emerging ecosystems.

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

1 kB and Not a Bit More - The Ideal Weight for a TinyML Model

Explore automated creation of ultra-compact ML models for tiny smart devices, enabling efficient embedding in memory-constrained hardware without data science expertise.

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

Optimizing AutoML for the tinyML Future

Optimizing AutoML for tinyML: Balancing accuracy, latency, and power efficiency through hardware-aware techniques and full signal flow optimization from sensor to inference.

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

EON Tuner - AutoML for Constrained Devices in TinyML

Explore AutoML for constrained devices with EON Tuner, optimizing tinyML models through pre-processing, DSP, and ML combinations while considering device limitations and real-world performance.

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

Suitability of TinyML for Predictive Maintenance in High-Tech Manufacturing

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

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

Next-Generation Deep-Learning Accelerators: From Hardware to System - tinyML Summit 2022

Explore next-gen deep learning accelerators, focusing on system-level challenges and opportunities in design, integration, and scheduling for future AI hardware advancements.

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