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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The Async-First Playbook

Author: Sumeet Gayathri Moghe
Publisher: Addison-Wesley
Pages: 368
ISBN: 978-0138187538
Print: 0138187533
Kindle: B0CCTZHB9N
Audience: Agile developers
Rating: 4
Reviewer: Kay Ewbank

The driver behind this book was the pandemic and the need to find ways to make remote working effective for teams. So do [ ... ]



Functional Design (Addison-Wesley)

Author: Robert C. Martin
Publisher: Addison-Wesley
Date: September 2023
Pages: 384
ISBN: 978-0138176396
Print: 0138176396
Kindle: B0CGHQKGYG
Audience: General
Rating: 4.5
Reviewer: Kay Ewbank

This book sets out to explain the principles, patterns and practices of functional design, and why functional prog [ ... ]


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