What is TinyML?

TinyML is the study of Machine Learning in Embedded Systems. Explore the types of models you can run on small, low-powered devices like microcontrollers. By summarizing and analyzing data at the edge on low power devices, TinyML offers many unique solutions. The “OK Google”, “Alexa”, “Hey Siri” wake words are an example of TinyML. Here, the devices are always on and are analyzing your voice to detect the wake word.

OVERVIEW

An introduction to TinyML and multiple possible learning paths to explore more opportunities in the domain! :)

  • INTRODUCTION TO TINYML

    A generic introduction to TinyML, its Capabilities and Programming Paradigms

  • APPLICATIONS USING TINYML

    Applications of TinyML in different verticals such as Industry, Healthcare and Automation

  • EDGE IMPULSE

    Getting started with Edge Impulse using your Smart Phone

  • TINYML DEMO

    Using Arduino Nano BLE Sense 33, Raspberry Pi Pico, ESP32

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Speaker Information

Daniel's interests sprawl across Embedded Systems, IOT, RPA and Machine Learning. After completing his Masters in AI/ML, he is currently pursuing a Doctorate in Data Science & AI from Rennes School of Business in France. He is also an active member of the TinyML EDU Working Group funded by the Harvard University.

Daniel D'Souza

Co-Founder & CTO, TIF Labs

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