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How to Create a Mind: The Secret of Human Thought Revealed (Englisch) Audio-CD – Audiobook, 27. August 2013

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Audio-CD, Audiobook, 27. August 2013
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-- Dieser Text bezieht sich auf eine andere Ausgabe: Taschenbuch.
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Pressestimmen

"Kurzweil writes boldly and with a showman’s flair, expertly guiding the lay reader into deep thickets of neuroscience."
~Kate Tuttle, Boston Globe

"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
  -- Dieser Text bezieht sich auf eine andere Ausgabe: Taschenbuch.

Über den Autor und weitere Mitwirkende

Ray Kurzweil is one of today’s leading inventors and the author of The Singularity Is Near and The Age of Spiritual Machines, among other books. He lives in Boston. -- Dieser Text bezieht sich auf eine andere Ausgabe: Taschenbuch.


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Ich kann mich noch gut an Prognosen in meiner Kindheit in den 70-ern erinnern, in denen illustriert wurde, wie wir um das Jahr 2000 herum alle in automatisch gesteuerten Autos herumfahren, unterseeische Städte bevölkern und die Planeten des Sonnensystems besuchen, ganz zu schweigen von kugelförmigen Fernsehern, die jedes Wohnzimmer dominieren. Man möge mir daher nachsehen, dass ich derartige Prognosen eher in Hinsicht auf ihren Unterhaltungswert betrachte.

Über Ray Kurzweil wusste ich vor der Lektüre dieses Buches wenig außer seiner berüchtigten Prognose über die nahende technische Singularität; von daher habe ich mir von dem Buch nicht besonders viel versprochen.
Um so angenehmer wurde ich von dem Inhalt überrascht, der zumindest in der ersten Hälfte keine wilden Prognosen enthält, sondern im wesentlichen über neueste wissenschaftliche Erkenntnisse der Hirnforschung referiert. Ich bin zwar nicht der Lage, ein qualifiziertes Urteil über die Korrektheit der dargelegten Hypothesen zu bilden; aber wenn die These stimmt, dass das menschliche Großhirn im wesentlichen strukturiert ist als ein hierarchischer Mustererkenner, ergeben sich daraus interessante und weitreichende Erkenntnisse. Selbst wenn diese Hypothese komplett falsch sein sollte, halte ich die Beobachtungen, die zu dieser Hypothese führen, für interessant genug, um auch durch Nicht-Fachleute zur Kenntnis genommen zu werden.

Im zweiten Teil überträgt Kurzweil dann diese Erkenntnisse auf die Möglichkeit, intelligente Computer zu entwerfen, die die Strukturen des menschlichen Großhirns nachbilden.
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Kurzweil takes the reader through a tour of selected neuroscience research and concepts of reverse-engineering the brain with a focus on neocortex neural architecture for pattern recognition. As always, Kurzweil is very enthusiastic about artificial intelligence and the pace of technological progress, illustrated in his belief in the law of accelerating returns in the field of information- processing. It is very tempting to share in this enthusiasm, but key aspects of the workings of the human mind are unfortunately not addressed in the book. It might be true that information processing will advance in leaps and bounds, so that cars will find their way from A to B better and more efficiently than human drivers, that computers will be able to answer any knowledge question in the blink of an eye etc. They might even do this by using techniques derived from architectural features of the human brain. But this intelligence, that can solve these kinds of problems will always represent a fundamentally different kind of intelligence than the one our brain creates. This can be illustrated by the nature of machine speech recognition, of which Kurzweil is an expert and which also features prominently in the book. I have been using this technology for more than 10 years and I must say that the progress has peaked about seven years ago. It might be true that recognition rates are somewhere around 90% + for continuous speech recognition since that time. This is very impressive, and being handicapped I much appreciate this technology. But it is the nature of the mistakes made that has not changed and is not likely to change only by improving processing power or adding new layers of pattern recognition.Lesen Sie weiter... ›
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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 same 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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