Phiar
Published in

Phiar

Efficient AI For Edge Computing — Part 1: Background

Introduction

Background

LeNet’s convolutional neural network architecture, from LeCun et al., 1998.
AlexNet was the only deep learning/CNN-based approach, significantly more accurate than the rest.
Example of a labeled image with semantic segmentation information Image from BDAN.
Network inference time (lower the better) CPU and GPU comparison. Image from Stanford University.

Cloud AI vs Edge AI

Image source: devopedia

AI Needs To Be Efficient To Run At The Edge

--

--

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store