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 AWK Programming Language, 2nd Ed

Author: Alfred V. Aho, Brian W. Kernighan and Peter J. Weinberger
Publisher: Addison-Wesley
Pages: 240
ISBN: 978-0138269722
Print: 0138269726
Kindle: B0CCJ1N4X3
Audience: Developers interested in Awk
Rating: 5
Reviewer: Kay Ewbank

The name Brian Kernighan among the authors of this updated classic raises  [ ... ]



SQL Server 2022 Query Performance Tuning (Apress)

Author: Grant Fritchey
Publisher: Apress
Pages: 745
ISBN:978-1484288900
Print:1484288904
Kindle:B0BLYD98SQ
Audience: DBAs & SQL Devs
Rating: 4.7
Reviewer: Ian Stirk 

A popular performance tuning book gets updated for SQL Server 2022, how does it fare?


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