UpFRONT
Year Alan Turing wrote Computing Machinery and Intelligence: 1950
Turing estimated the binary digit storage capacity of the human brain to be: 1010
Number of years Turing estimated would pass before computer storage would reach 109: 50
Wholesale price of a 109 (1GB) hard drive in August 1999: $150 US
Value of the Loebner Prize for the first computer to pass the Turing Test for machine intelligence (i.e., a computer in which the responses to the test are indistinguishable from a human's): $100,000 US
Year the Loebner Prize was created: 1990
Percent chance given by Turing in 1950 that a computer would pass his test by the year 2000: 70
Number of computers thus far to win the big prize: 0
Number of correct answers given by “Ask Jeeves” on July 27, 1999 to the question “Who is Linus Torvalds?” : 0
Year Ask Jeeves, Inc. was founded: 1996
Revenue of Ask Jeeves in 1998: $450,000 US
Market capitalization of Ask Jeeves at 4PM on July 2, 1999, at the end of its first day as a publicly traded company: $1.7 billion US
Total exports of the Congo in 1998: $1.2 billion US
National budget of Paraguay in 1998: $1.2 billion US
Millions of desktop systems at the end of 1998: 89
Millions of desktop systems at the end of 1997: 79
Windows 95 operating system market-share percentage: 57.4
Windows 98 operating system market-share percentage: 17.2
Windows NT operating system market-share percentage: 11
MacOS operating system market-share percentage: 5
Linux operating system market-share percentage: 2.1
Windows 3.11 operating system market-share percentage: 1.1
OS/2 operating system market-share percentage: .5
Percent increase in 1998 Linux shipments over 1997: 212
Estimated percentage compounded annual growth rate for Linux between 1999 and 2003: 25
Estimated millions of Linux customers worldwide: 10
Number of e-mails received in August at linux@ssc.com, asking the stock symbol for the company “Linux”: 14
Number of times Tux, or a reasonable facsimile thereof, appears in the August issue of Linux Journal: 48
Number of years required to build the Biltmore estate in Asheville, NC—the largest house in the U.S.: 6
Number of years required to build the Gates family home, referred to as “The House” in Medina, WA: 7
Number of square feet at Biltmore Estate: 175,000
Number of square feet at “The House”: 66,000
Number of square feet at The White House: 67,000
Computing Machines and Intelligence, Alan M. Turing, www.msu.edu/user/vattervi/turing/premium.html
The Loebner Prize, www.loebner.net/Prizef/loebner-prize.html
Red Herring on Ask Jeeves' debut, www.redherring.com/insider/1999/0702/inv-askjeeves.html
AskJeeves.com, http://www.askjeeves.com/
International Data Corporation (IDC), http://www.idc.com/
Jason Schumaker, LJ staff
The Biltmore, http://www.biltmore.com/
Doc Searls is Senior Editor of Linux Journal
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
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Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
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Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?




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