How to Create Machine Superintelligence: A Quick Journey through Classical/Quantum Computing, Artificial Intelligence, Machine Learning, and Neural Networks

by Artem Kovera

Many impressive and unprecedented achievements have recently emerged in machine learning and narrow AI. For example, modern deep neural networks can recognize and even generate some types of patterns even better than humans can. Some experts think that deep learning is a direct road to artificial general intelligence, but others think differently and propose alternative ideas.

This e-book will cover the main classes of machine learning and artificial neural networks, and how these computational approaches can help create artificial general intelligence.

In this e-book, you will find a quick explanation of two main methodologies for computation: classical and quantum computing, and how the principles of operation of those can be applied to building artificial intelligence.

You will also learn about the fundamental limitations of computation and about the paradigms of uncertainty and unpredictability of the world. We will see why this is important for understanding the capabilities of natural and artificial intelligence.

98 pages, Paperback

Published April 10, 2017

Reviews

[Gustavo Martinez · Rating 4 out of 5]

Interestimg glimpse into the field

It was an interesting glimpse into a field we should all be learning about, it definitely invites for further reading into several of the topics covered.