How to Create a Mind: The Secret of Human Thought RevealedThe bold futurist and bestselling author explores the limitless potential of reverse-engineering the human brain Ray Kurzweil is arguably today’s most influential—and often controversial—futurist. In How to Create a Mind, Kurzweil presents a provocative exploration of the most important project in human-machine civilization—reverse engineering the brain to understand precisely how it works and using that knowledge to create even more intelligent machines. Kurzweil discusses how the brain functions, how the mind emerges from the brain, and the implications of vastly increasing the powers of our intelligence in addressing the world’s problems. He thoughtfully examines emotional and moral intelligence and the origins of consciousness and envisions the radical possibilities of our merging with the intelligent technology we are creating. Certain to be one of the most widely discussed and debated science books of the year, How to Create a Mind is sure to take its place alongside Kurzweil’s previous classics which include Fantastic Voyage: Live Long Enough to Live Forever and The Age of Spiritual Machines. From the Hardcover edition. |
What people are saying - Write a review
User ratings
| 5 stars |
| ||
| 4 stars |
| ||
| 3 stars |
| ||
| 2 stars |
| ||
| 1 star |
|
LibraryThing Review
User Review - Razinha - LibraryThingVery good, though at times, really not for the casual reader. While Mr. Kurzweil does an excellent job explaining his theories on how we can build a brain...that is, how we currently understand our ... Read full review
LibraryThing Review
User Review - Muir_Alex - LibraryThingThis was a good read from an information perspective, but it was at times rambling and hard to follow. That being said, Kurzweil knows what he is talking about, and provides many great insights into how new AI technologies work, and into where AI will go in the coming years. Read full review
Contents
THOUGHT EXPERIMENTS ON THE MIND | |
THE LAW OF ACCELERATING RETURNS APPLIED | |
OBJECTIONS | |
Notes | |
Index | |
Other editions - View all
Common terms and phrases
ability accelerating returns actually algorithm answer artificial intelligence axon basic biological evolution called capable cells chapter complex concept conceptual level connections conscious consider cortex cortical create decisions dendrites described Dileep George dream Einstein entities example exponential function genetic genome hemisphere HHMM hidden Markov models hierarchical hidden Markov higherlevel human brain ideas input Jeopardy knowledge Kurzweil language law of accelerating layer learning LISP Martine Rothblatt Marvin Minsky mathematical memory methods mind naturallanguage neocortex neocortical pattern Neumann neural neural net neurons nonbiological optimal output parameters pattern recognition module pattern recognizer performance philosopher phonemes physical predictions problem quantum quantum computing Ray Kurzweil redundancy regions represent selforganizing sensory sequence signals simple simulate solution creatures specific speech recognition structure synaptic strengths technique thalamus thinking thought experiments triggers trillion Turing machine Turing test understanding visual Watson Wolfram words
