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

Today, more and more people are getting obsessed with the idea of artificial general intelligence, which someday may become able to mimic human behavior so perfectly that it would be very hard to recognize differences between humans and computers. However, the reason of being deeply interested in artificial general intelligence is not only humans’ inherent curiosity and imagination. Everyone understands that this is an extremely powerful technology, which can radically change our lives for good.

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.

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

In this 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.