Aakash (tablet)

Aakash is an Android-based tablet computer designed and developed by DataWind primarily as a platform for audio-visual media including books, periodicals, movies, music, games, and web content. It is manufactured in India as a low cost but full functioning device in order to attempt to bridge the digital divide. The commercial version of the tablet will be retailed under the brand name UbiSlate

The device was demonstrated running the Android operating system and shown to be able to deliver videos, Wi-Fi, 3G (via dongle support), 256 MB RAM and 2 GB Flash among other capabilities.
As for 2011 the price of the Tablet has changed to USD$49. However the government of India said that can cover half of the price. Their hardware remains the same.
UbiSlate7, the commercial version of Aakash

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Developer                       DataWind, Canada and DataWind, India
Manufacturer                 DataWind, UK
Type                                  Tablet computer
Release Date                    2011
Introductory Price         1,300 INR (US$28.99) ;2,250 INR (US$50.18)per unit cost to
                                            government ;retail price 2,999 INR(US$66.88)
                                       
Operating System           Android 2.2
Power                                2–3 hours. Internal rechargeable non-removable lithium-

                                            polymer
                                            battery
                                            CPU 366 MHz processor ;on chip Graphics accelerator and
                                            HdVideo                                                                                                                                                                                                              
Storage Capacity            2GB (Internal)Flash memory, expandable upto 32
                                             GBmicroSD
Memory                             256 MB LP-DDR2/DDR2
Display                               7-inch ; 800x480 resolution
Input                                   Multi-touch resistive touchscreen display, headset controls
Connectivity                     Wi-Fi connectivity ;GPRS
Online Services                1 year warranty

Weight    350 gm













To get full details go to http://en.wikipedia.org/wiki/Aakash_(tablet)

Lawrence Roberts

Lawrence G. Roberts (born 1937 received the Draper Prize in 2001 and the Principe de Asturias Award in 2002 "for the development of the Internet" along with Leonard Kleinrock, Robert Kahn, and Vinton Cerf.

As a program manager and office director at the Advanced Research Projects Agency, Roberts and his team created packet switching and the ARPANET, which was the predecessor to the modern Internet

How web search engines work

A search engine operates in the following order:

Web crawling
Indexing
Searching.

Web search engines work by storing information about many web pages, which they retrieve from the html itself. These pages are retrieved by a Web crawler (sometimes also known as a spider) — an automated Web browser which follows every link on the site. Exclusions can be made by the use of robots.txt. The contents of each page are then analyzed to determine how it should be indexed (for example, words are extracted from the titles, headings, or special fields called meta tags).
Data about web pages are stored in an index database for use in later queries.

A query can be a single word. The purpose of an index is to allow information to be found as quickly as possible. Some search engines, such as Google, store all or part of the source page (referred to as a cache) as well as information about the web pages, whereas others, such as AltaVista, store every word of every page they find.
This cached page always holds the actual search text since it is the one that was actually indexed, so it can be very useful when the content of the current page has been updated and the search terms are no longer in it. This problem might be considered to be a mild form of linkrot, and Google's handling of it increases usability by satisfying user expectations that the search terms will be on the returned webpage.

This satisfies the principle of least astonishment since the user normally expects the search terms to be on the returned pages. Increased search relevance makes these cached pages very useful, even beyond the fact that they may contain data that may no longer be available elsewhere.

When a user enters a query into a search engine (typically by using key words), the engine examines its index and provides a listing of best-matching web pages according to its criteria, usually with a short summary containing the document's title and sometimes parts of the text. The index is built from the information stored with the data and the method by which the information is indexed. Unfortunately, there are currently no known public search engines that allow documents to be searched by date. Most search engines support the use of the boolean operators AND, OR and NOT to further specify the search query. Boolean operators are for literal searches that allow the user to refine and extend the terms of the search. The engine looks for the words or phrases exactly as entered. Some search engines provide an advanced feature called proximity search which allows users to define the distance between keywords.

There is also concept-based searching where the research involves using statistical analysis on pages containing the words or phrases you search for. As well, natural language queries allow the user to type a question in the same form one would ask it to a human. A site like this would be ask.com.
The usefulness of a search engine depends on the relevance of the result set it gives back. While there may be millions of web pages that include a particular word or phrase, some pages may be more relevant, popular, or authoritative than others. Most search engines employ methods to rank the results to provide the "best" results first. How a search engine decides which pages are the best matches, and what order the results should be shown in, varies widely from one engine to another.
The methods also change over time as Internet usage changes and new techniques evolve. There are two main types of search engine that have evolved: one is a system of predefined and hierarchically ordered keywords that humans have programmed extensively. The other is a system that generates an "inverted index" by analyzing texts it locates. This second form relies much more heavily on the computer itself to do the bulk of the work.
Most Web search engines are commercial ventures supported by advertising revenue and, as a result, some employ the practice of allowing advertisers to pay money to have their listings ranked higher in search results.
Those search engines which do not accept money for their search engine results make money by running search related ads alongside the regular search engine results. The search engines make money every time someone clicks on one of these ads.

Present Chief Executive officer of Apple Inc.,

Timothy D."Tim" Cook born November 1, 1960
Is the chief executive officer of Apple Inc.
have joined the company in March 1998.

Tim Cook Named CEO

He was named CEO after Steve Jobs announced his resignation on August 24, 2011s

Steve Jobs Apple Former CEO
Elected Chairman of the Board

Timothy John "Tim" Berners-Le

Berners-Lee is the director of the World Wide Web Consortium

Sir Timothy John "Tim" Berners-Lee, OM, KBE, FRS, FREng, FRSA born 8 June 1955)
also known as "TimBL", is a British physicist, computer scientist and MIT professor, credited for his invention of the World Wide Web, making the first proposal for it in March 1989. On 25 December 1990, with the help of Robert Cailliau and a young student at CERN,
He implemented the first successful communication between a Hypertext Transfer Protocol (HTTP) client and server via the Internet.
Berners-Lee is the director of the World Wide Web Consortium (W3C), which oversees the Web's continued development. He is also the founder of the World Wide Web Foundation, and is a senior researcher and holder of the 3Com Founders Chair at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).
He is a director of The Web Science Research Initiative (WSRI), and a member of the advisory board of the MIT Center for Collective Intelligence.In 2004,
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To know more about 
Tim Berners-Lee go for the below link http://en.wikipedia.org/wiki/Tim_Berners-Leehttp://en.wikipedia.org/wiki/Tim_Berners-Lee
Berners-Lee was knighted by Queen EliIn April 2009, he was elected as a member of the United States National Academy of Sciences, based in Washington, D.C.