Deep Learning & Artificial Intelligence

February 12, 2018

Non-fiction

The books below are just a sample of what's available at Cleveland Public Library on the subject of artificial intelligence, deep learning, and related topics. Click the titles to link to the library's catalog to place a hold or to get additional information.

Heart Of The Machine : Our Future In A World Of Artificial Emotional Intelligence by Richard Yonck (2017)
- Imagine a robotic stuffed animal that can read and respond to a child's emotional state, a commercial that can recognize and change based on a customer's facial expression, or a company that can actually create feelings as though a person were experiencing them naturally. Heart of the Machine explores the next giant step in the relationship between humans and technology: the ability of computers to recognize, respond to, and even replicate emotions. Heart of the Machine is an exploration of the new and inevitable ways in which mankind and technology will interact.
Thinking Machines : The Quest For Artificial Intelligence--And Where It's Taking Us Next by Luke Dormehl (2017)
- Significant advances in artificial intelligence have come slower than expected, according to British technology journalist Dormehl in this entertaining history of the AI industry. At the first official AI conference at Dartmouth College in 1956, computer scientists claimed they needed only one summer to prove the worth of independently thinking computers. Six decades later, naysayers claim true AI is still missing. With interesting real-life characters (including Alan Turing and Marvin Minsky) and stories about headline-news smart devices, Thinking Machines is an easy introduction for readers wanting insight into how technology fits into their lives. - Booklist
Life 3.0 : Being Human In The Age Of Artificial Intelligence by Max Tegmark (2017)
- The robot takeover will ignite an explosion of "awe-inspiring" life even if humans don't survive, according to this exhilarating, demoralizing primer. Tegmark's smart, freewheeling discussion leads to fascinating speculations on AI-based civilizations spanning galaxies and eons-and knotty questions: Will our digital overlords be conscious? Will they coddle us with abundance and virtual-reality idylls or exterminate us with bumblebee-size attack robots? While digerati may be enthralled by the idea of superintelligent civilizations where "beautiful theorems" serve as the main economic resource, Tegmark's future will strike many as a one in which, at best, humans are dependent on AI-powered technology and, at worst, are extinct. Love it or hate it, it's an engrossing forecast. - Publishers Weekly
The Sentient Machine: The Coming Age of Artificial Intelligence by Amir Husain (2017)
- The future is now. Artificial "machine" intelligence is playing an ever-greater role in our society. We are already using cruise control in our cars, automatic checkout at the drugstore, and are unable to live without our smartphones. The discussion around AI is largely polarized; people think either machines will solve all problems for everyone, or they will lead us down a dark, dystopian path into total human irrelevance. Regardless of what you believe, the idea that we might bring forth intelligent creation can be intrinsically frightening. But what if our greatest role as humans so far is that of creators?
Megatech: Technology in 2050 by Daniel Franklin (2017)
- In the not-too-distant future, we'll be plugging our brains into the internet, replacing our worn-out body parts, and eating meat grown in a lab. If we're lucky, we'll be living in a world of more productivity, more energy, and more equality--and if we're not, we'll be facing the profound threat of nonexistent privacy, ecological collapse, and nuclear proliferation. Of course, we can't know the future, but Megatech: Technology in 2050 is a mind-clearing guide to the possibilities.
Deep Learning: A Practitioner's Approach by Josh Patterson (2017)
- Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning--especially deep neural networks--make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks.

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