How to Create Machine Superintelligence (Second Edition) (eBook, ePUB)
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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 netw...
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.
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.
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