From Deep Learning to Rational Machines (Oxford University Press)
Friday, 29 December 2023

Subtitled "What the History of Philosophy Can Teach Us about the Future of Artificial Intelligence", this book provides a framework for thinking about foundational philosophical questions surrounding the use of deep artificial neural networks ("deep learning") to achieve artificial intelligence. Specifically, Cameron J. Buckner  links recent breakthroughs to classic works in empiricist philosophy of mind 

This book explains how recent deep learning breakthroughs realized some of the most ambitious ideas about these faculties from philosophers such as Aristotle, Ibn Sina (Avicenna), John Locke, David Hume, William James, and Sophie de Grouchy. It illustrates the utility of this interdisciplinary connection by showing how it can provide benefits to both philosophy and computer science.

Author: Cameron J. Buckner
Publisher: Oxford University Press
Date: December 2023
Pages: 440
ISBN: 978-0197653302
Print: 0197653308
Kindle: B0CL9JBSD8
Audience: General
Level: Introductory/Intermediate
Category: Artificial Intelligence

For recommended titles on AI see  AI Books To Inspire You in our Programmer's Bookshelf section.

 

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The Rust Programming Language, 2nd Ed

Author: Steve Klabnik and Carol Nichols
Publisher: No Starch Press
Date: June 2023
Pages: 560
ISBN: 978-1718503106
Print: 1718503105
Kindle: B0B7QTX8LL
Audience: Systems programmers
Rating: 4.8
Reviewer: Mike James

There's a new edition of what has become the standard text on Rust. Has it matured along with [ ... ]



Learn Enough Python to Be Dangerous (Pearson)

Author: Michael Hartl
Publisher: Addison-Wesley
Date: June 2023
Pages: 448
ISBN: 978-0138050955
Print: 0138050953
Kindle: ‎ B0C4VCSD1G
Audience: Python
Rating: 2
Reviewer: Ian Elliot
Learning Python is a great idea but "enough to be dangerous"?


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