Thinking Machines: The Quest for Artificial Intelligence--and Where Its Taking Us Next

Dormehl, Luke

ISBN 10: 0143130587 / ISBN 13: 9780143130581

Edité par Tarcher, 2017

A propos de cet article

A used book in good condition. All pages are intact, and the spine and cover are also intact.

N° de réf. du vendeur 467XYF000CK1

Détails bibliographiques

• Titre: Thinking Machines: The Quest for Artificial Intelligence--and Where Its Taking Us Next
• Éditeur: Tarcher
• Date de parution: 2017
• Langue: anglais
• ISBN à 10 chiffres: 0143130587
• ISBN à 13 chiffres: 9780143130581
• Reliure: Couverture souple
• État de l'article: Good

A propos de ce titre

Synopsis

A fascinating look at Artificial Intelligence, from its humble Cold War beginnings to the dazzling future that is just around the corner.

When most of us think about Artificial Intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that Artificial Intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire.  In some ways, the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate.

In Thinking Machines, technology journalist Luke Dormehl takes you through the history of AI and how it makes up the foundations of the machines that think for us today. Furthermore, Dormehl speculates on the incredible--and possibly terrifying--future that's much closer than many would imagine. This remarkable book will invite you to marvel at what now seems commonplace and to dream about a future in which the scope of humanity may need to broaden itself to include intelligent machines.

À propos de l?auteur

LUKE DORMEHL is a technology journalist, filmmaker and author, who has written for Fast Company, Wired, Consumer Reports, Politico, The L.A. Times, and other publications. He is also the author of The Apple Revolution and The Formula: How Algorithms Solve All Our Problems... And Create More.