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How to Create a Mind: The Secret of Human Thought Revealed (Anglais) Relié – 13 novembre 2012

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Revue de presse

Kurzweil's vision of our super-enhanced future is completely sane and calmly reasoned, and his book should nicely smooth the path for the earth's robot overlords, who, it turns out, will be us.
~The New York Times
 
"Kurzweil writes boldly and with a showman’s flair, expertly guiding the lay reader into deep thickets of neuroscience."
~Kate Tuttle, Boston Globe
 
This book is a breath of fresh air.... Kurzweil makes an argument for optimism.
~Laura Spinney, New Scientist
 
"A fascinating exercise in futurology."
~Kirkus Reviews
 
"It is rare to find a book that offers unique and inspiring content on every page. How to Create a Mind achieves that and more. Ray has a way of tackling seemingly overwhelming challenges with an army of reason, in the end convincing the reader that it is within our reach to create nonbiological intelligence that will soar past our own. This is a visionary work that is also accessible and entertaining.
~Rafael Reif, president, MIT
 
"Kurzweil's new book on the mind is magnificent, timely, and solidly argued! His best so far!"
~Marvin Minsky, MIT Toshiba Professor of Media Arts and Sciences; cofounder of the MIT Artificial Intelligence Lab; widely regarded as "the father of artificial intelligence"
 
"If you ever wondered about how your mind works, read this book. Kurzweil's insights reveal key secrets underlying human thought and our ability to recreate it. This is an eloquent and thought-provoking work."
~Dean Kamen, physicist; inventor of the first wearable insulin pump, the HomeChoice dialysis machine, and the IBOT mobility system; founder of FIRST; recipient of the National Medal of Technology
 
"One of the eminent AI pioneers, Ray Kurzweil, has created a new book to explain the true nature of intelligence, both biological and nonbiological. The book describes the human brain as a machine that can understand hierarchical concepts ranging from the form of a chair to the nature of humor. His important insights emphasize the key role of learning both in the brain and in AI. He provides a credible road map for achieving the goal of super-human intelligence, which will be necessary to solve the grand challenges of humanity.
~Raj Reddy, founding director, Robotics Institute, Carnegie Mellon University; recipient of the Turing Award from the Association for Computing Machinery
 
"Ray Kurzweil pioneered artificial intelligence systems that could read print in any type style, synthesize speech and music, and understand speech. These were the forerunners of the present revolution in machine learning that is creating intelligent computers that can beat humans in chess, win on Jeopardy!, and drive cars. His new book is a clear and compelling overview of the progress, especially in learning, that is enabling this revolution in the technologies of intelligence. It also offers important insights into a future in which we will begin solving what I believe is the greatest problem in science and technology today: the problem of how the brain works and of how it generates intelligence."
~Tomaso Poggio, Eugene McDermott Professor, MIT Department of Brain and Cognitive Sciences; director, MIT Center for Biological and Computational Learning; former chair, MIT McGovern Institute for Brain Research; one of the most cited neuroscientists in the world

"This book is a Rosetta stone for the mystery of human thought. Even more remarkably, it is a blueprint for creating artificial consciousness that is as persuasive and emotional as our own. Kurzweil deals with the subject of consciousness better than anyone from Blackmore to Dennett. His persuasive thought experiment is of Einstein quality: It forces recognition of the truth."
~Martine Rothblatt, chairman and CEO, United Therapeutics; creator of Sirius XM Satellite Radio

"Kurzweil's book is a shining example of his prodigious ability to synthesize ideas from disparate domains and explain them to readers in simple, elegant language. Just as Chanute's Progress in Flying Machines ushered in the era of aviation over a century ago, this book is the harbinger of the coming revolution in artificial intelligence that will fulfill Kurzweil's own prophecies about it."
~Dileep George, AI scientist; pioneer of hierarchical models of the neocortex; cofounder of Numenta and Vicarious Systems

"Ray Kurzweil's understanding of the brain and artificial intelligence will dramatically impact every aspect of our lives, every industry on Earth, and how we think about our future. If you care about any of these, read this book!"
~Peter H. Diamandis, chairman and CEO, X PRIZE; executive chairman, Singularity University; author of the New York Times bestseller Abundance: The Future Is Better Than You Think
 

Présentation de l'éditeur

The 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.

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Contrairement à d'autres livres de l'auteur il me semble manquer de profondeur scientifique. Il faut dire que je l'ai lu en même temps deux autres livres bien plus sérieux: "David Gunkel: "The Machine Question" et Timothy Tailor: "The Artificial Ape: how technology changed the course of Human Evolution" livres aussi achetés ici même sur AMAZON.FR
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Par Val le 22 janvier 2013
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Ray Kurzweil nous expose de façon très posée les composantes du cerveau, tous ses niveaux d'organisation, ses capacités, les découvertes majeurs... Il y a quelques schémas et illustrations bien choisies. Le livre dans l'ensemble est agréable. Mais si le début est très bien et se concentre uniquement et de façon très progressive et grand public sur l'esprit, le message est derrière de le comparer à l'informatique, à l'AI. On sent bien que c'est sa marrote, et qu'il dessert ses interest, sa théories, ses prédictions : le transhumanisme. En lisant ce bouquin il fallait bien s'y attendre. Mais il est très accessible même pour un francophone avec un petit niveau d'anglais. Qu'on soit pour ou opposé à ses idées, ce livre est à son image, il est passionné par ce qu'il fait. Le livre est très bien conçu, très bien marketé. La couverture par exemple est tres douce au toucher, c'est surprenant donc on se souvient de ce livre par des moyens sensoriels le toucher de façon très efficace. Il y a à mon avis d'autres livres plus fournit sur ce domaine, mais il reste très agréable.
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*A full executive summary of this book will be available at newbooksinbrief dot com on or before Monday, November 26.

When IBM's Deep Blue defeated humanity's greatest chess player Garry Kasparov in 1997 it marked a major turning point in the progress of artificial intelligence (AI). A still more impressive turning point in AI was achieved in 2011 when another creation of IBM named Watson defeated Jeopardy! phenoms Ken Jennings and Brad Rutter at their own game. As time marches on and technology advances we can easily envision still more impressive feats coming out of AI. And yet when it comes to the prospect of a computer ever actually matching human intelligence in all of its complexity and intricacy, we may find ourselves skeptical that this could ever be fully achieved. There seems to be a fundamental difference between the way a human mind works and the way even the most sophisticated machine works--a qualitative difference that could never be breached. Famous inventor and futurist Ray Kurzweil begs to differ.

To begin with--despite the richness and complexity of human thought--Kurzweil argues that the underlying principles and neuro-networks that are responsible for higher-order thinking are actually relatively simple, and in fact fully replicable. Indeed, for Kurzweil, our most sophisticated AI machines are already beginning to employ the sample principles and are mimicking the same neuro-structures that are present in the human brain.

Beginning with the brain, Kurzweil argues that recent advances in neuroscience indicate that the neocortex (whence our higher-level thinking comes) operates according to a sophisticated (though relatively straightforward) pattern recognition scheme.
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Ever since I read “Singularity is Near” I’ve been fascinated by Ray Kurzweil – his wirings, ideas, a predictions. He’s not been afraid to go on the limb and make some brave and seemingly outlandish forecasts about the upcoming technological advances and their oversize impact on people and society. One of the main reasons why I always found his predictions credible is that they can, in a nutshell, be reduced to just a couple of seemingly simple observations: 1. Information-technological advances are happening exponentially, and 2. Information technology in particular is driving all the other technological and societal changes. The rest, to put it rather crudely, are the details.

In “How to Create a Mind” Kurzweil zeroes in on just one scientific/technological project – creating a functioning replica of the human mind. He uses certain insights from information technology and neurology to propose his own idea of what human mind (and by extension human intelligence) are all about, and to propose how to go about emulating it “in silico.” Here too Kurzweil reduces a seemingly intractable problem that the humanity has grappled with for millennia to just a couple of overarching insights. In his view the essence of virtually all cognitive processes can be reduced to the scientific paradigm of “pattern recognition” – an ability of computational agent to identify and classify patterns. And the information theoretical and engineering tool for emulating the kind of pattern recognition that goes on in a mind is the mathematical technique called “hierarchical hidden Markov chains” (HHMS). What gives Kurzweil confidence about this insight and this kind of approach are the successes that he has had in starting and marketing companies which used HHMS for speech and character recognition.
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