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 

<ASIN:0197653308 >

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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Visual Differential Geometry and Forms

Author:  Tristan Needham
Publisher: Princeton
Pages: 584
ISBN: 978-0691203706
Print: 0691203709
Kindle: B08TT6QBZH
Audience: Math enthusiasts
Rating: 5
Reviewer: Mike James
The best math book I have read in a long time...



T-SQL Fundamentals (Microsoft Press)

Author: Itzik Ben-Gan
Publisher: Microsoft Press
Pages: 608
ISBN: 978-0138102104
Print: 0138102104
Kindle: B0BTLBXF8V
Audience: T-SQL developers
Rating: 5
Reviewer: Kay Ewbank

Itzik Ben-Gan is a highly respected Microsoft Data Platform MVP, and the earlier editions of this book were already ver [ ... ]


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