Imagen del autor

Jeff Hawkins (1) (1957–)

Autor de Sobre la inteligencia

Para otros autores llamados Jeff Hawkins, ver la página de desambiguación.

1 Obra 1,404 Miembros 26 Reseñas 1 Preferidas

Sobre El Autor

Créditos de la imagen: Photo © Esther Dyson

Obras de Jeff Hawkins

Sobre la inteligencia (2005) 1,404 copias

Etiquetado

Conocimiento común

Nombre legal
Hawkins, Jeffrey
Fecha de nacimiento
1957-06-01
Género
male
Nacionalidad
USA
País (para mapa)
USA
Educación
Cornell University (BA|Electrical Engineering), 1979

Miembros

Reseñas

An enjoyable review of correlates of intelligence and their architectural and computational requirements. Despite the book being published now almost 20 years ago this approach remains important. To look at human intelligence characteristics translated to computation systems characteristics.
 
Denunciada
yates9 | 25 reseñas más. | Feb 28, 2024 |
This book includes many detailed descriptions of the author's hypotheses on how the brain functions, with insufficient diagrams to make it easy to follow.
 
Denunciada
MarkLacy | 25 reseñas más. | May 29, 2022 |
Jeff Hawkins has a knack for abstracting and interpreting the structure of our brain. His ideas are very thought provoking mostly because he makes it all seem so simple (even if he did not intend it to be so). I don't want to say he is wrong and the optimist in me even hopes he is right since a simple solution is usually nicer.
 
Denunciada
hafsteinn | 25 reseñas más. | Feb 2, 2021 |
Author is one of the top people in consumer tech (created Palm Pilot), and is deeply interested in AI. He does a pretty good job of presenting a few elements of the field (neural networks, primarily, and that prediction is the most key activity in the neocortex) to a general audience, and then includes some of his own theories and predictions (which is tricky because it's hard for a non-expert to know which parts are broadly accepted and which are his own theories...). Overall, a very interesting book, and since it's nearly 20 years old, it's interesting to see which of his predictions were accurate (things took about 10-20% longer than he predicted, I think, but were much more successful than he predicted); always neat when someone's errors in "wild predictions" are that they were too conservative in some way.

I honestly don't know anywhere near enough about neuroscience to really evaluate that portion or his presentation, but the more general information/cs part was pretty solid.

Most interesting thing to me was the theory that the neocortex evolved to make predictions better in animals, which is a great way to have it merge with the sensory and motor control parts of lower elements of the brain, and provides an incremental and continuous benefit from even slight levels of new capability all the way up to what we have in humans today.
… (más)
 
Denunciada
octal | 25 reseñas más. | Jan 1, 2021 |

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Estadísticas

Obras
1
Miembros
1,404
Popularidad
#18,295
Valoración
4.0
Reseñas
26
ISBNs
43
Idiomas
9
Favorito
1

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