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  2. Attention (machine learning) - Wikipedia

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

    [6] These research developments inspired algorithms such as the Neocognitron and its variants. [7] [8] Meanwhile, developments in neural networks had inspired circuit models of biological visual attention. [9] [2] One well-cited network from 1998, for example, was inspired by the low-level primate visual system.

  3. ACT-R - Wikipedia

    en.wikipedia.org/wiki/ACT-R

    These assumptions are based on numerous facts derived from experiments in cognitive psychology and brain imaging. Like a programming language , ACT-R is a framework: for different tasks (e.g., Tower of Hanoi , memory for text or for list of words, language comprehension, communication, aircraft controlling), researchers create "models" (i.e ...

  4. Quizlet - Wikipedia

    en.wikipedia.org/wiki/Quizlet

    In March 2023, Quizlet started to incorporate AI features with the release "Q-Chat", a virtual AI tutor powered by OpenAI's ChatGPT API. [24] [25] [26] Quizlet launched four additional AI powered features in August 2023 to assist with student learning. [27] [28] In July 2024, Kurt Beidler, the former co-CEO of Zwift, joined Quizlet as the new ...

  5. Attention - Wikipedia

    en.wikipedia.org/wiki/Attention

    Attention is best described as the sustained focus of cognitive resources on information while filtering or ignoring extraneous information. Attention is a very basic function that often is a precursor to all other neurological/cognitive functions. As is frequently the case, clinical models of attention differ from investigation models.

  6. Attention Is All You Need - Wikipedia

    en.wikipedia.org/wiki/Attention_Is_All_You_Need

    An illustration of main components of the transformer model from the paper "Attention Is All You Need" [1] is a 2017 landmark [2] [3] research paper in machine learning authored by eight scientists working at Google.

  7. Feature integration theory - Wikipedia

    en.wikipedia.org/wiki/Feature_integration_theory

    Feature integration theory is a theory of attention developed in 1980 by Anne Treisman and Garry Gelade that suggests that when perceiving a stimulus, features are "registered early, automatically, and in parallel, while objects are identified separately" and at a later stage in processing.

  8. Notre Dame-Indiana predictions: Picks for the College ...

    www.aol.com/notre-dame-indiana-predictions-picks...

    You couldn't ask for more-perfect venue for the first game of the expanded College Football Playoff. Notre Dame rose to power in the first half of the 20th century and has been one of the ...

  9. Pre-attentive processing - Wikipedia

    en.wikipedia.org/wiki/Pre-attentive_processing

    The ability to adequately filter information from pre-attentive processing to attentive processing is necessary for the normal development of social skills. [14] For acoustic pre-attentive processing, the temporal cortex was believed to be the main site of activation; however, recent evidence has indicated involvement of the frontal cortex as well.