How to Create Machine Superintelligence

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

Nonfiction, Computers, Advanced Computing, Natural Language Processing, Artificial Intelligence, Computer Science
Cover of the book How to Create Machine Superintelligence by Artem Kovera, Artem Kovera
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Author: Artem Kovera ISBN: 1230002224985
Publisher: Artem Kovera Publication: March 17, 2018
Imprint: Language: English
Author: Artem Kovera
ISBN: 1230002224985
Publisher: Artem Kovera
Publication: March 17, 2018
Imprint:
Language: English

Many impressive 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 such as advanced spiking neural networks, neuromorphic architecture, or quantum computing.

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.

In this e-book, you will find a gentle and math-free introduction to artificial intelligence and related subjects such as deep learning and quantum computations from a technical perspective and with respect to the latest technologies written for people who do not necessarily have a background in computer science, mathematics, or engineering

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Many impressive 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 such as advanced spiking neural networks, neuromorphic architecture, or quantum computing.

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.

In this e-book, you will find a gentle and math-free introduction to artificial intelligence and related subjects such as deep learning and quantum computations from a technical perspective and with respect to the latest technologies written for people who do not necessarily have a background in computer science, mathematics, or engineering

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