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tinyML: Impact and Growth of Always-On Devices

Offered By: tinyML via YouTube

Tags

TinyML Courses Artificial Intelligence Courses Internet of Things Courses Machine Learning Courses Computer Vision Courses Neural Networks Courses Embedded Systems Courses Energy Efficiency Courses Edge Computing Courses Speech Recognition Courses

Course Description

Overview

Explore the growing impact of tinyML devices in this 28-minute partner session from the tinyML Summit 2021. Discover how always-on tinyML technology is revolutionizing everyday devices, from low-cost phones and earphones to AR/VR glasses and environmental sensors in machines and automobiles. Learn about the market projections for tinyML devices, with an expected 10 billion units introduced annually by 2023. Delve into the driving forces behind tinyML adoption, its requirements, and the silicon efficiency needed for implementation. Gain insights into Deep Neural Networks, Neural Core 2, and NLP 120 technologies. Examine real-world applications such as TWS Earbuds, Proximity Sensors, and the NDP 120 chip. This talk by Mallik P. MOTURI, VP of Product and Business Development at Syntiant, demonstrates why tinyML is no longer considered "tiny" in its impact on the tech industry.

Syllabus

Intro
Introducing the speaker
Market of tinyML
What is driving tinyML
Requirements
What tinyML requires
Silicon requirements for tinyML
Silicon efficiency
TinyML 100
Deep Neural Network
Neural Core 2
NLP 120
Summary
Virtual applause
TWS Earbud
Proximity Sensor
NDP 120
Sponsors


Taught by

tinyML

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