Books like Machines That Think by New Scientist Staff

Kurzweil explores the coming fusion of human minds with advanced machines, predicting that integrated intelligence will surpass current human capacity, shaping future society.

Deep Learning is a comprehensive textbook that equips students and practitioners with the foundational knowledge and practical skills needed to enter the fields of machine learning and deep learning.

Luke Dormehl guides readers through AI’s evolution from Cold War roots to the everyday smart devices that already shape our lives, and peers ahead to possible future impacts of intelligent machines.

A history of artificial intelligence that has remained in print for nearly two decades and is now back with an updated Afterword.

"In late January 2006, a young robotocist on the way to Google headquarters lost an overnight bag on a flight somewhere between Dallas and Las Vegas. In it was a fully functional head of the android replica of Philip K. Dick, cult science fiction writer and counter-culture guru. It has never been recovered. In a story that echoes some of the most paranoid fantasies of a Philip K. Dick novel, readers get a fascinating inside look at the scientists and technology that made this amazing android possible. The author, who was a fellow researcher at the University of Memphis Institute of Intelligent Systems while the android was being built, gives readers an inside look at the cutting edge technology in robotics, artificial intelligence, and sculpture that came together in this remarkable machine and captured the imagination of scientists, artists, and science fiction fans alike. And there are great stories about Dick himself--his inspired yet deeply pessimistic worldview, his bizarre lifestyle, and his enduring creative legacy. In the tradition of popular science classics like Packing for Mars and The Disappearing Spoon, How to Build an Andriod is entertaining and informative--popular science at its best"--

Collects the thoughts of almost two hundred of today's leading thinkers on the issue of artifical intelligence.