Endpoint AI Revolution Driven by Standardized Computing Platform

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.

Introduction
Welcome
How did we get there
Endpoint AI
Machine Learning Use Case
Machine Learning Computing
Specialized Processing
Software
CCNC
Challenges
Use Cases
Cortex M55
Virtual Highway
Advantages
Virtual Hardware
Performance Benchmark
Ecosystem Partners
Codex Amplified
Questions
Customers
Sponsors