by Jeff Hawkins with Sandra Blakeslee ‧ RELEASE DATE: Oct. 3, 2004
Ever the optimist, Hawkins considers building intelligent machines eminently doable. Given his track record, maybe he’ll...
Hawkins, the PalmPilot’s inventor, is keen to build truly intelligent machines based on his ideas of how the brain really works.
The brain is no computer, this guru of handheld devices makes clear. The AI folks have got it wrong, even with their neural networks and feedback devices. The brain is not a super-fast PC computing all the moves so as to beat you at chess. It’s slow, but oh-so-clever. It can fill in the quote when you supply it with a few words, read your crummy handwriting, hum the tune given a couple of notes. All this is possible, Hawkins says, because of the hierarchical structure of the neocortex covering the brain. The cortex is composed of six layers of cells that connect up and down in columns, sideways to cells in other columns, and also connect to other parts of the brain. Incoming signals, say from the eye, send a constantly changing barrage of signals to cells in the visual cortex that, through a succession of relays up and down, get transformed into invariant patterns (a face, for example). Memory, in Hawkins’s theory, is a neocortical function based on extracting invariant features of spatial (or temporal) sequences of patterns and employing a process of “autoassociation” in which pattern one invokes an associated pattern two, etc. Hawkins provides many a homely example to comfort the reader traversing the neuroanatomical details, culminating in what he calls the memory-prediction concept of intelligence, in which we use memory to make analogies that allow us to anticipate what happens next, even to devise creative moves. The strength here lies in the solid work of neuroscientists under-girding Hawkins’s ideas. Its weakness is his failure to consider the influence of the brain’s emotional/motivational circuitry on learning and memory.
Ever the optimist, Hawkins considers building intelligent machines eminently doable. Given his track record, maybe he’ll succeed. If not, the exercise may provide further insight into how the brain really, really works.Pub Date: Oct. 3, 2004
ISBN: 0-8050-7456-2
Page Count: 288
Publisher: Times/Henry Holt
Review Posted Online: May 19, 2010
Kirkus Reviews Issue: Aug. 15, 2004
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by Jeff Hawkins
by William Strunk & E.B. White ‧ RELEASE DATE: May 15, 1972
Stricter than, say, Bergen Evans or W3 ("disinterested" means impartial — period), Strunk is in the last analysis...
Privately published by Strunk of Cornell in 1918 and revised by his student E. B. White in 1959, that "little book" is back again with more White updatings.
Stricter than, say, Bergen Evans or W3 ("disinterested" means impartial — period), Strunk is in the last analysis (whoops — "A bankrupt expression") a unique guide (which means "without like or equal").Pub Date: May 15, 1972
ISBN: 0205632645
Page Count: 105
Publisher: Macmillan
Review Posted Online: Oct. 28, 2011
Kirkus Reviews Issue: May 1, 1972
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by E.T.A. Hoffmann ‧ RELEASE DATE: Oct. 28, 1996
This is not the Nutcracker sweet, as passed on by Tchaikovsky and Marius Petipa. No, this is the original Hoffmann tale of 1816, in which the froth of Christmas revelry occasionally parts to let the dark underside of childhood fantasies and fears peek through. The boundaries between dream and reality fade, just as Godfather Drosselmeier, the Nutcracker's creator, is seen as alternately sinister and jolly. And Italian artist Roberto Innocenti gives an errily realistic air to Marie's dreams, in richly detailed illustrations touched by a mysterious light. A beautiful version of this classic tale, which will captivate adults and children alike. (Nutcracker; $35.00; Oct. 28, 1996; 136 pp.; 0-15-100227-4)
Pub Date: Oct. 28, 1996
ISBN: 0-15-100227-4
Page Count: 136
Publisher: Harcourt
Review Posted Online: May 19, 2010
Kirkus Reviews Issue: Aug. 15, 1996
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by E.T.A. Hoffmann ; adapted by Natalie Andrewson ; illustrated by Natalie Andrewson
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by E.T.A. Hoffmann & illustrated by Julie Paschkis
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