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![A Thousand Brains: A New Theory of Intelligence (English Edition) van [Jeff Hawkins, Richard Dawkins]](https://m.media-amazon.com/images/I/41OZTG+1b3L._SY346_.jpg)
A Thousand Brains: A New Theory of Intelligence (English Edition) Kindle-editie
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A bestselling author, neuroscientist, and computer engineer unveils a theory of intelligence that will revolutionize our understanding of the brain and the future of AI. For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world-not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought. A Thousand Brains heralds a revolution in the understanding of intelligence. It is a big-think book, in every sense of the word.
- TaalEngels
- UitgeverBasic Books
- Publicatiedatum2 maart 2021
- Bestandsgrootte4698 KB
Productbeschrijving
Recensie
--John Thornhill, Financial Times
"A Thousand Brains takes us on a journey from the evolution of our brain to the extinction of our species. Along the way Hawkins beautifully describes neuroanatomy and landmark discoveries in neuroscience... Hawkins keeps the reader constantly engaged."--New York Times Book Review
"Brilliant....It works the brain in a way that is nothing short of exhilarating."--Richard Dawkins
"A Thousand Brains eloquently expresses the ultimate goal of thousands of scientists: to understand the mechanics of the human mind. Jeff Hawkins uses wonderfully clear and fast-moving prose to give an accessible overview of a theory of human intelligence that is likely to be very influential in the future."--Michael Hasselmo, Director, Boston University Center for Systems Neuroscience
"Intriguing.... Insightful stuff for readers immersed in the labyrinthine world of neuroscience."--Kirkus
"Jeff Hawkins' book is that rare beast: A new theory about one of the oldest mysteries, the mystery of intelligence. The book is thoughtful and original, erudite and visionary. A must read for anyone interested in how the next breakthroughs in artificial intelligence will emerge from the recent (and not so recent) discoveries in neuroscience."--Anthony Zador, professor of neuroscience, Cold Spring Harbor Laboratory
"Neuroscience has been exploring the wilderness of the brain for well over a century. With A Thousand Brains, at last we have a map. Jeff Hawkins takes on questions most neuroscientists don't even dare ask, and finds answers in a new theory that explains now only how we make sense of the world, but how we are deceived. In a world threatened by the disintegration of truth into conspiracy and delusion, everyone should read this remarkable book."--Henry Markram, Professor, École Polytechnique Fédérale de Lausanne, founder of the Human Brain Project --Deze tekst verwijst naar de hardcover editie.
Over de auteur
Productgegevens
- ASIN : B08CDYR545
- Uitgever : Basic Books (2 maart 2021)
- Taal : Engels
- Bestandsgrootte : 4698 KB
- Tekst-naar-spraak : Ingeschakeld
- Schermlezer : Ondersteund
- Verbeterd lettertype : Ingeschakeld
- X-Ray : Ingeschakeld
- Word Wise : Ingeschakeld
- Printlengte : 263 pagina's
- Plaats in bestsellerlijst: #10,974 in Kindle Store (Top 100 in bekijkenKindle Store)
- #79 in Kunstmatige intelligentie
- #96 in Neurobiologie
- #118 in Medische e-books in het Engels
- Klantenrecensies:
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- The Self-Assembling Brain: How Neural Networks Grow Smarter (English Edition)Peter Robin HiesingerKindle-editie
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The second and equally important thing to say: the book is divided into three parts. The first one is dedicated to the theory, the second one is dedicated to the future of AI, and the third part is dedicated to the possible future of humankind.
You only need to read the first part to understand the theory and, if you think it's worth exploring more, you can augment that with the more complex, academic papers listed in the Recommended Reading section at the end of the book.
This part of the book is the one I'd recommend to anybody interested in the latest progress in neuroscience. Contrarian data scientists and machine learning engineers interested in designing AI should read the book, too.
My rating is focused on this first part of the book only. It's a 4/5 because I'd have preferred Hawkins dedicating more time to the more technical details (maybe in an optional appendix) rather than digressing in the way he did with parts two and three.
It's also worth saying that the theory is incomplete and, even after reading the research papers that support it, you might still have many unanswered questions. That doesn't mean that the idea is not valuable and thought-provoking. Just that it needs more time to be fully confirmed experimentally and further expanded where it still lacks clarity.
The second part is only partially related to the theory of the Thousand Brains. I'm afraid I have to disagree with some assumptions related to the risks of truly intelligent machines. Hawkins can envision very complex scenarios about the inner workings of the brain. Still, he doesn't want to contemplate more straightforward scenarios where, for example, interconnected intelligent machines learn about human discoveries in real-time and, in practicality, learn faster than humans about how the implications of those discoveries and adopted them more quickly than us.
Overall, I don't think it's worth focusing too much on this section, and nobody should use it as a lens to judge the theory itself. My rating completely ignores it.
The third part of the book is almost entirely unrelated to the theory of the Thousand Brains. It contains many interesting, occasionally controversial, perspectives and ideas about how our species could evolve and what should be our purpose in the future. However, that content (together with part two or by itself) could be better suited in a dedicated book.
I understand Hawkins' desire to share his views on the topics he touches and use the book to call for action. But, as it is, it's more a distraction from the theory than anything else.
Just like for part two, my rating completely ignores this content.
Overall, this is a must-read book if you are interested in novel ideas about how the brain works and what intelligence is all about. However, I recommend focusing on part one, then continue by reading the research papers, and only after, as a sort of unrelated bonus, read parts two and three.
***How I review books***
5 stars - an exceptional book that expands my reasoning, not just my knowledge.
4 stars - a great book that significantly expands my knowledge.
3 stars - a book with some interesting information and some major flaws that didn't really make an impact in my life.
(Notice that there's a time in life for certain books. It's possible this was not the time for this book and the review rating would change 10 years from now)
2 stars - a book that gave me nothing and took my time.
1 star - a book so poorly written that I couldn't even finish reading.

Obviously a lot happened since then. Hawkins founded Numenta in 2005.
Hawkins proposed The Thousand Brains Theory of Intelligence in 2018 - it is a a new framework for intelligence and cortical computation. Since then he was working tirelesly to put that concept in a book, it took him 18 months to write it. This book contains result of 15 years of research that was done by Jeff with his Numenta team since his previous book. He believes the current deep learning technology will not be able to create intelligent machines. On the ther hand he thinks his theory is the right path to that goal. I find him very convincing. I think this book is going to be very influential in the AI community in this decade and even longer.


For those interested in neuroscience, you can read Michio Kaku's book, Future of the Mind. Dr. Kaku, despite being a PhD. in theoretical physics and one of the pioneers of string theory, interviewed many of the top neuroscientists in the world to write his book. If you are interested in the integration of neuroscience and machine learning, you can watch Dr. Yoshua Bengio's lectures to the public on this topic. Dr. Bengio is one of the 2018 Turing award recipients and is leading cutting edge AI research that leverages knowledge from cognitive neuroscience.
