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Study mode:
on
1
Intro
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Introducing the speaker
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Market of tinyML
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What is driving tinyML
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Requirements
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What tinyML requires
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Silicon requirements for tinyML
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Silicon efficiency
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TinyML 100
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Deep Neural Network
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Neural Core 2
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NLP 120
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Summary
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Virtual applause
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TWS Earbud
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Proximity Sensor
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NDP 120
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Sponsors
Description:
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.

tinyML: Impact and Growth of Always-On Devices

tinyML
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