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Algorithms Are Not Enough: Creating General Artificial Intelligence

James Hayes

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Published in Herbert L Roitblat

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Artificial intelligence (AI) is rapidly changing the world. From self-driving cars to facial recognition software, AI is already having a major impact on our lives. But what is the future of AI? Will AI systems eventually become so intelligent that they surpass human intelligence? And if so, what are the implications for humanity?

Algorithms Are Not Enough: Creating General Artificial Intelligence

by Herbert L. Roitblat

4 out of 5

Language	:	English
File size	:	948 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
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Print length	:	219 pages

In his new book, Algorithms Are Not Enough: Creating General Artificial Intelligence, Dr. Pedro Domingos argues that algorithms are not enough to create general AI. He believes that in Free Download to create truly intelligent AI systems, we need to develop new ways of thinking about AI. We need to move beyond the current focus on narrow AI, which is designed to perform specific tasks, and develop AI systems that can learn and reason about the world in a more general way.

Dr. Domingos is a leading expert in AI. He is a professor of computer science at the University of Washington, and he is the author of several books on AI, including The Master Algorithm and The Book of Why. In Algorithms Are Not Enough, Dr. Domingos provides a comprehensive overview of the challenges and opportunities facing the development of general AI. He discusses the different approaches to AI, from symbolic AI to connectionist AI, and he evaluates the strengths and weaknesses of each approach.

Dr. Domingos also proposes a new theory of intelligence, which he calls "probabilistic programming." Probabilistic programming is a way of representing and reasoning about uncertainty. Dr. Domingos believes that probabilistic programming is essential for creating AI systems that can learn and reason about the world in a more general way.

Algorithms Are Not Enough is a must-read for anyone interested in the future of AI. This book provides a comprehensive overview of the challenges and opportunities facing the development of general AI, and it offers a unique perspective on how to create AI systems that are truly intelligent.

The Limits of Algorithms
The Need for General AI
Different Approaches to AI
Probabilistic Programming
The Challenges of Creating General AI
The Implications of General AI

About the Author

Pedro Domingos is a professor of computer science at the University of Washington. He is the author of several books on AI, including The Master Algorithm and The Book of Why. Dr. Domingos is a leading expert in AI, and his work has been featured in The New York Times, The Wall Street Journal, and The Economist.

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Algorithms Are Not Enough is available now from Our Book Library, Barnes & Noble, and other major booksellers. You can also Free Download your copy directly from the publisher, O'Reilly Media.

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Algorithms Are Not Enough: Creating General Artificial Intelligence

by Herbert L. Roitblat

4 out of 5