Hardcover: 304 pages
Publisher: Dutton (September 17, 2009)
Product Dimensions: 9.1 x 6.4 x 1.1 inches
Shipping Weight: 1.2 pounds
Average Customer Review: 3.6 out of 5 stars See all reviews (20 customer reviews)
Best Sellers Rank: #833,004 in Books (See Top 100 in Books) #13 in Books > Computers & Technology > Programming > Algorithms > Memory Management #340 in Books > Computers & Technology > Computer Science > Human-Computer Interaction #584 in Books > Engineering & Transportation > Engineering > Bioengineering > Biotechnology
On his website, The Technium, Kevin Kelly (of Wired and Whole Earth fame)writes about "What Technology Wants."Here's what IT wants - "Everything, Everywhere, All the Time."In IT's strive toward omniscience, it's clear that the next key piece isTotal Recall of all personal, individual memories.Gordon Bell and Jim Gemmell lay out precisely how and why that will happen. I've been in the memory business for over 40 years:first as a student of neurobiology at MIT, then as an AI researcher at Stanford,and finally as a physician. (Search "Bob Blum" for my essays onmachine consciousness and other Big Questions.) I had heard of Gordon Bell for decades, but had never met himuntil recently when I heard Gordon and Jim present this workat the (Xerox) PARC Forum. (That video is now on the PARC Forum archive).That prompted me to buy the book. Despite being age 75, Gordon is a lively, energetic spiritwho readily deflected my public query/position ,"don't neuroscientists consider forgetting to be crucialas a means of increasing memory relevance?"(My concern then and still is on maintaining high signal to noise ratio -quieting the mind to achieve the zen of pure signal.) Young Jim Gemmell is also bright and engaging.Although I'm guessing that Jim contributed half of the leg work,the book is presented as a first person account of Gordon's 75 year life.The work is a delightful combination of the future of personal data captureas well as a recounting of their experiences with MyLifeBits, a system implementation.That work was presented in Scientific American in March 2007 online - qv.
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