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  2. Organisation for Counter Terrorist Operations - Wikipedia

    en.wikipedia.org/wiki/Organisation_for_Counter...

    The Organisation for Counter Terrorist Operations (OCTOPUS) is an elite counter terrorism joint unit of the Andhra Pradesh Police in the state of Andhra Pradesh & and the Telangana Police in the state of Telangana in India.

  3. Mike Cohn - Wikipedia

    en.wikipedia.org/wiki/Mike_Cohn

    Cohn is the founder of Mountain Goat Software, a process and project management consultancy and training firm. [6] He is the author of Agile Estimating and Planning , User Stories Applied for Agile Software Development and Succeeding with Agile: Software Development using Scrum , as well as books on Java and C++ programming. [ 7 ]

  4. Paul the Octopus - Wikipedia

    en.wikipedia.org/wiki/Paul_the_Octopus

    Paul the Octopus (26 January 2008 [1] – 26 October 2010) was a common octopus who predicted the results of international association football matches. Accurate predictions in the 2010 World Cup brought him worldwide attention as an animal oracle .

  5. Branch predictor - Wikipedia

    en.wikipedia.org/wiki/Branch_predictor

    Branch prediction attempts to guess whether a conditional jump will be taken or not. Branch target prediction attempts to guess the target of a taken conditional or unconditional jump before it is computed by decoding and executing the instruction itself. Branch prediction and branch target prediction are often combined into the same circuitry.

  6. United States Army Field Manuals - Wikipedia

    en.wikipedia.org/wiki/United_States_Army_Field...

    According to The New York Times, the Army has started to "wikify" certain field manuals, allowing any authorized user to update the manuals. [4] This process, specifically using the MediaWiki arm of the military's professional networking application, milSuite, was recognized by the White House as an Open Government Initiative in 2010.

  7. Predictive learning - Wikipedia

    en.wikipedia.org/wiki/Predictive_learning

    In a recent research paper, Dr. Yukie Nagai suggested a new architecture in predictive learning to predict sensorimotor signals based on a two-module approach: a sensorimotor system which interacts with the environment and a predictor which simulates the sensorimotor system in the brain. [5]