You Look Like a Thing and I Love You (Voracious)
Friday, 09 April 2021

“You look like a thing and I love you” is one of the best pickup lines ever…according to an artificial intelligence system trained by Janelle Shane, creator of the blog AI Weirdness. In her book subtitled "How Artificial Intelligence Works and Why It's Making the World a Weirder Place", Shane creates silly AIs that learn how to name colors of paint, create the best recipes, and even flirt (badly) with humans.

<ASIN:0316525227>

Shane delivers the answer to AIs questions, including some you’ve probably never asked, such as: How can a computer design the perfect sandwich? What does robot-generated Harry Potter fan fiction sound like? And is the world’s best Halloween costume really “vampire hog bride”?

Author: Janelle Shane
Publisher: Voracious
Date: March 2021
Pages: 272
ISBN: 978-0316525220
Print: 0316525227
Kindle: B07SC43RXT
Audience: General
Level: Introductory
Category: Artificial Intelligence

 

For recommendations of books on Artificial Intelligence see AI Books To Inspire You in our Programmer's Bookshelf section.

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


Lean DevOps

Author: Robert Benefield
Publisher: Addison-Wesley
Pages: 368
ISBN: 978-0133847505
Print:  0133847500
Kindle: B0B126ST43
Audience: Managers of devops teams
Rating: 3 for developers, 4.5 for managers
Reviewer: Kay Ewbank

The problem this book sets out to address is that of how to deliver on-demand se [ ... ]



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?


More Reviews