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1
Introduction
2
Outline
3
AI Solution
4
New Business Opportunity
5
Automatic Gauge Reader
6
Weightable ECG Devices
7
Entry Control and Video Surveillance
8
Guidelines
9
Technical Issues
10
Fine Tuning
11
Neural Scale
12
Uniform Scanning
13
Optimization
14
Deployment Issues
15
Transductive Inference
16
Network Architecture
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Distance minimization
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Feasibility
19
Demonstration
20
Summary
21
Questions
22
Sponsors
Description:
Explore data-driven applications and AIoT devices in this 32-minute conference talk from tinyML Asia 2020. Dive into model reduction techniques like network architecture search and adaptive quantization to optimize storage and computing efficiency while maintaining accuracy. Learn about a meta-learning approach for enhancing inference accuracy in diverse environments. Examine real-life examples in image and video services, and gain insights into future AIoT research directions. Discover how local intelligence solutions in IoT devices can improve data security and real-time performance under bandwidth constraints.

Toward Data-Driven Applications with AIoT Devices

tinyML
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