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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Computer Graphics from Scratch (No Starch Press)

Author: Gabriel Gambetta
Publisher: No Starch Press
Pages: 248
ISBN: 978-1718500761
Print: 1718500769
Kindle: B085BVJG5B
Audience: People interested in creating 3D graphics
Rating: 5
Reviewer: Kay Ewbank

This is a well written book that explains the topic of 3D rendering, and tries its hardest to mi [ ... ]



The Joy of JavaScript (Manning)

Author: Luis Atencio
Publisher: Manning
Date: March 2021
Pages: 360
ISBN: 978-1617295867
Print: 1617295868
Audience: JavaScript developers
Rating: 4
Reviewer: Ian Elliot
Joy you say!


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