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Introduction
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Welcome
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How did we get there
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Endpoint AI
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Machine Learning Use Case
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Machine Learning Computing
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Specialized Processing
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Software
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CCNC
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Challenges
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Use Cases
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Cortex M55
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Virtual Highway
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Advantages
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Virtual Hardware
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Performance Benchmark
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Ecosystem Partners
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Codex Amplified
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Questions
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Customers
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Sponsors
Description:
Explore the Endpoint AI revolution driven by standardized computing platforms in this 30-minute tinyML Asia 2021 conference talk by Odin Shen, Principal Field Application Engineer at Arm. Delve into the expanding capabilities of AI from cloud servers to the tiniest IoT devices, with a focus on Arm's mission to create foundations for AI opportunities. Learn about robust open-source software stacks and End-Point AI processors designed to improve efficiency and performance in TinyML use cases. Discover how Arm's software and upcoming silicon solutions are paving the way for TinyML developers, covering topics such as specialized processing, Cortex M55, virtual hardware, performance benchmarks, and ecosystem partners. Gain insights into the challenges and advantages of Endpoint AI, and understand how standardized computing platforms are shaping the future of machine learning in edge devices.

Endpoint AI Revolution Driven by Standardized Computing Platform

tinyML
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