Go Local Guru Web Search

Search results

1. Results from the Go Local Guru Content Network

2. AOL Mail

   mail.aol.com

   Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

3. WinHex - Wikipedia

   en.wikipedia.org/wiki/WinHex

   WinHex is a commercial disk editor and universal hexadecimal editor used for data recovery and digital forensics. [1] WinHex includes academic and forensic practitioners, [2] the Oak Ridge National Laboratory, Hewlett-Packard, National Semiconductor, law enforcement agencies, and other companies with data recovery and protection needs.

4. Stub (distributed computing) - Wikipedia

   en.wikipedia.org/wiki/Stub_(distributed_computing)

   In distributed computing, a stub is a program that acts as a temporary replacement for a remote service or object. [1] It allows the client application to access a service as if it were local, while hiding the details of the underlying network communication.

5. Longman Dictionary of Contemporary English - Wikipedia

   en.wikipedia.org/wiki/Longman_Dictionary_of...

   Premium online access; Printed book plus premium online access; Reduced online version with no access charge (called "free" but technically "gratis": the license is still proprietary) The dictionary is currently in its sixth edition. The premium website was revised in 2014 and 2015.

6. Anagram dictionary - Wikipedia

   en.wikipedia.org/wiki/Anagram_dictionary

   In the main type of anagram dictionary, the letters in words or phrases are rearranged in alphabetical order, and these transpositions are themselves then ordered alphabetically within word-length groups, so that any words consisting of this group of letters can be found.

7. Machine-readable medium and data - Wikipedia

   en.wikipedia.org/wiki/Machine-readable_medium...

   Machine-readable data must be structured data. [1]Attempts to create machine-readable data occurred as early as the 1960s. At the same time that seminal developments in machine-reading and natural-language processing were releasing (like Weizenbaum's ELIZA), people were anticipating the success of machine-readable functionality and attempting to create machine-readable documents.