Overview
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Explore the state of the tinyAutoML market in this 33-minute keynote address from the tinyML Auto ML Forum. Delve into the rapidly growing field of tiny machine learning technologies and applications, focusing on hardware and software capable of performing on-device sensor data analytics at extremely low power. Learn about tinyAutoML, the process of automating tiny machine learning applications, and its potential to democratize ultra-low power edge computing. Discover the opportunities and challenges in this emerging field, including skills challenges and market potential. Gain insights into various approaches to tinyAutoML across use cases such as image recognition, human activity recognition, and predictive maintenance. Understand the importance of tinyAutoML in the productive deployment of intelligent Internet of Things devices and ongoing training of machine learning models at the edge.
Syllabus
Introduction
Opportunities and Challenges
John Deere
Skills Challenges
Choose your poison
What are your needs
How large could this market be
Strategy
Outro
Taught by
tinyML