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  2. Electronic literature - Wikipedia

    en.wikipedia.org/wiki/Electronic_literature

    The 1952 love letter generator that the British computer scientist Christopher Strachey wrote for the Manchester Mark 1 computer is probably the first example of literature that requires a computer to be generated or read. [13] [14] [15] The work generates short love letters, and is an example of combinatory poetry, also called generative ...

  3. A* search algorithm - Wikipedia

    en.wikipedia.org/wiki/A*_search_algorithm

    A* was invented by researchers working on Shakey the Robot's path planning. A* was created as part of the Shakey project, which had the aim of building a mobile robot that could plan its own actions.

  4. Artificial intelligence and copyright - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence...

    The Board finds that the Work contains more than a de minimis amount of content generated by artificial intelligence ("AI"), and this content must therefore be disclaimed in an application for registration. Because Mr. Allen is unwilling to disclaim the AI-generated material, the Work cannot be registered as submitted. [9]

  5. Automated journalism - Wikipedia

    en.wikipedia.org/wiki/Automated_journalism

    Automated journalism, also known as algorithmic journalism or robot journalism, is a term that attempts to describe modern technological processes that have infiltrated the journalistic profession, such as news articles and videos generated by computer programs.

  6. Simple random sample - Wikipedia

    en.wikipedia.org/wiki/Simple_random_sample

    For example, if a teacher has a class arranged in 5 rows of 6 columns and she wants to take a random sample of 5 students she might pick one of the 6 columns at random. This would be an epsem sample but not all subsets of 5 pupils are equally likely here, as only the subsets that are arranged as a single column are eligible for selection.

  7. Feature (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Feature_(machine_learning)

    In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a phenomenon. [1] Choosing informative, discriminating and independent features is a crucial element of effective algorithms in pattern recognition, classification and regression.

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