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  2. Spatial ability - Wikipedia

    en.wikipedia.org/wiki/Spatial_ability

    Spatial ability is the capacity to understand, reason and remember the visual and spatial relations among objects or space. [1] There are four common types of spatial abilities: spatial or visuo-spatial perception, spatial visualization, mental folding and mental rotation. [3]

  3. Visuospatial function - Wikipedia

    en.wikipedia.org/wiki/Visuospatial_function

    In cognitive psychology, visuospatial function refers to cognitive processes necessary to "identify, integrate, and analyze space and visual form, details, structure and spatial relations" in more than one dimension.

  4. Rorschach test - Wikipedia

    en.wikipedia.org/wiki/Rorschach_test

    Hermann Rorschach created the inkblot test in 1921. (Photo from c. 1910). The use of interpreting "ambiguous designs" to assess an individual's personality is an idea that goes back to Leonardo da Vinci and Botticelli. [9]

  5. Digital literacy - Wikipedia

    en.wikipedia.org/wiki/Digital_literacy

    A teacher and his students in a computer lab. Digital literacy is an individual's ability to find, evaluate, and communicate information using typing or digital media platforms.

  6. Digital art - Wikipedia

    en.wikipedia.org/wiki/Digital_art

    An image of the Melissa computer virus created by Ukrainian artist Stepan Ryabchenko in 2011. Irrational Geometrics' digital art installation, 2008 by Pascal Dombis Digital art refers to any artistic work or practice that uses digital technology as part of the creative or presentation process.

  7. Euclidean space - Wikipedia

    en.wikipedia.org/wiki/Euclidean_space

    Euclidean space was introduced by ancient Greeks as an abstraction of our physical space. Their great innovation, appearing in Euclid's Elements was to build and prove all geometry by starting from a few very basic properties, which are abstracted from the physical world, and cannot be mathematically proved because of the lack of more basic tools.

  8. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.As language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.

  9. Monty Hall problem - Wikipedia

    en.wikipedia.org/wiki/Monty_Hall_problem

    Steve Selvin wrote a letter to the American Statistician in 1975, describing a problem based on the game show Let's Make a Deal, [1] dubbing it the "Monty Hall problem" in a subsequent letter. [2]