Create and Connect Secure and Trustworthy IoT Devices
Explore Azure Sphere for secure IoT development, combining it with TinyML and Azure IoT Central. Learn from real-world examples and see how it simplifies creating trustworthy connected devices.
Current Status of TinyML and the Enormous Opportunities Ahead - Panel Discussion
Panel discussion exploring tinyML's current state and future potential, featuring experts from Qualcomm and Google. Covers applications, challenges, privacy concerns, and emerging opportunities in ultra-low power embedded AI computing.
MCUNet and TinyML - Lecture 10
Explore MCUNet and TinyML for efficient machine learning on microcontrollers, covering design principles and real-world applications in resource-constrained environments.
MCUNet and TinyML - Lecture 10
Explore MCUNet and TinyML for efficient machine learning on microcontrollers. Learn optimization techniques and real-world applications in resource-constrained environments.
The Future of Home Weather Stations: Smart Acoustic Sensors
Explore acoustic smart weather stations revolutionizing forecasting in remote areas. Learn about Aurora's TinyML-powered approach to classifying wind and rain intensity, and its potential global impact on agriculture and accessibility.
TinyML Talks France - State of the TinyML Today
Exploration des applications, avancées et défis du TinyML, mettant en lumière son potentiel dans les systèmes à très faible consommation et son impact sur l'IA embarquée et l'IoT.
IMU Preintegrated Features for Efficient Deep Inertial Odometry
Explore efficient deep inertial odometry using IMU preintegrated features. Learn about measurement errors, problem statement, evaluation, training, and results in human walking applications.
Transforming Epilepsy from a Chronic Condition to an Acute One Using TinyML
Explore how tinyML technology can revolutionize epilepsy management, transforming it from a chronic to an acute condition through innovative monitoring and detection methods.
tinyML Trailblazers: Success Stories with Pete Warden
Explore tinyML success stories with Pete Warden, discussing game-changing technologies, innovations, and future visions in the field of machine learning on tiny devices.
Getting the Best of Both Worlds - IoT and Edge Using Hierarchical Inference
Explore hierarchical inference strategies for optimizing IoT and edge computing, focusing on machine fault detection and image classification while balancing accuracy with resource constraints.
AI-ML Solutions for Low-Power Edge Platforms - Challenges and Opportunities
Explore challenges and opportunities in AI/ML solutions for low-power Edge platforms, covering device types, compute options, and on-device acceleration libraries for efficient application development.
TinyML Talks South Africa - An Introduction to TinyML for All Backgrounds with Hands-On Introduction
Explore TinyML's revolutionary impact on edge computing and AI, with a hands-on introduction to Edge Impulse for practical implementation across various applications and industries.
EfficientML.AI - Introduction to Efficient Machine Learning
Master efficient machine learning techniques and optimization strategies for deploying ML models in resource-constrained environments, focusing on practical implementation methods.
AI on the Edge - TinyML and Machine Learning for Edge Devices - Session 1
Explore cutting-edge research on TinyML and edge AI, covering neural navigation, IoT deep learning, distributed transformers, and collaborative edge training.
On-Device Training Under 256KB Memory
Discover cutting-edge techniques for on-device machine learning training with minimal memory requirements, presented by MIT's Song Han in this technical seminar on resource-efficient AI deployment.
Speech-to-Intent on MCU: TinyML for Efficient Device Control - Lecture 6
Learn efficient speech-to-intent techniques for MCUs, focusing on direct parsing of user utterances into actionable output. Explore model training, deployment, and testing on Wio Terminal.
Wio Terminal TinyML Course - People Counting and Azure IoT Central Integration - Part 3
Learn to implement people counting using TinyML on Wio Terminal, integrating ultrasonic sensors and Azure IoT Central for real-time monitoring and data visualization.
Wio Terminal TinyML Course - Audio Scene Recognition on Microcontrollers with Arduino IDE
Learn to implement audio scene recognition on microcontrollers using TinyML, Arduino IDE, and Wio Terminal. Covers data collection, processing, model training, deployment, and mobile notifications with Blynk.
Introduction to TinyML on Wio Terminal - Machine Learning on Microcontrollers
Introduction to TinyML on Wio Terminal: Learn to implement machine learning on microcontrollers using Arduino IDE, covering data gathering, processing, model training, and deployment.
Software-Driven TinyML Hardware Co-Design for AI Power Smart Devices
Explore software-hardware co-design for efficient TinyML systems, focusing on processing-in-memory accelerators to reduce power consumption and enhance AI inference in smart devices.
tinyML Trailblazers: Success Stories with Massimo Banzi - Arduino's Journey and Vision
Explore Arduino's journey, from its origins to its impact on machine learning and global tech education, with insights from co-founder Massimo Banzi on innovation and future directions.