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

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Product Code: 9781986641234
ISBN13: 9781986641234
Condition: New
$10.85
Imagine what an astonishing effect could happen if we combined profound human natural creativity with computers' numerical and logical capabilities. Probably, individuals who will use this technology will immensely benefit from it. But how can we do this? In this book, the author puts forward the hypothesis that natural intelligence can be simulated as a generative model (more specifically a special set of generative models) that is constantly being fed into a reinforcement learning procedure. This book will cover many approaches to machine learning and the main classes of artificial neural networks and how these computational approaches can potentially lead to the creation of 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.

Author: Artem Kovera
Publisher: CreateSpace Independent Publishing Platform
Publication Date: Mar 18, 2018
Number of Pages: 100 pages
Language: English
Binding: Paperback
ISBN-10: 1986641236
ISBN-13: 9781986641234

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

$10.85
 
Imagine what an astonishing effect could happen if we combined profound human natural creativity with computers' numerical and logical capabilities. Probably, individuals who will use this technology will immensely benefit from it. But how can we do this? In this book, the author puts forward the hypothesis that natural intelligence can be simulated as a generative model (more specifically a special set of generative models) that is constantly being fed into a reinforcement learning procedure. This book will cover many approaches to machine learning and the main classes of artificial neural networks and how these computational approaches can potentially lead to the creation of 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.

Author: Artem Kovera
Publisher: CreateSpace Independent Publishing Platform
Publication Date: Mar 18, 2018
Number of Pages: 100 pages
Language: English
Binding: Paperback
ISBN-10: 1986641236
ISBN-13: 9781986641234
 

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