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Practical Deep Learning for Cloud, Mobile, and Edge
book

Practical Deep Learning for Cloud, Mobile, and Edge

by Anirudh Koul, Siddha Ganju, Meher Kasam
October 2019
Intermediate to advanced
583 pages
14h 36m
English
O'Reilly Media, Inc.
Content preview from Practical Deep Learning for Cloud, Mobile, and Edge

Chapter 1. Exploring the Landscape of Artificial Intelligence

Following are the words from Dr. May Carson’s (Figure 1-1) seminal paper on the changing role of artificial intelligence (AI) in human life in the twenty-first century:

Artificial Intelligence has often been termed as the electricity of the 21st century. Today, artificial intelligent programs will have the power to drive all forms of industry (including health), design medical devices and build new types of products and services, including robots and automobiles. As AI is advancing, organizations are already working to ensure those artificial intelligence programs can do their job and, importantly, avoid mistakes or dangerous accidents. Organizations need AI, but they also recognize that not everything they can do with AI is a good idea.

We have had extensive studies of what it takes to operate artificial intelligence using these techniques and policies. The main conclusion is that the amount of money spent on AI programs per person, per year versus the amount used to research, build and produce them is roughly equal. That seems obvious, but it’s not entirely true.

First, AI systems need support and maintenance to help with their functions. In order to be truly reliable, they need people to have the skills to run them and to help them perform some of their tasks. It’s essential that AI organizations provide workers to do the complex tasks needed by those services. It’s also important to understand the people who are ...

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Publisher Resources

ISBN: 9781492034858Errata Page