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  2. ACE STAR Model of Knowledge Transformation - Wikipedia

    en.wikipedia.org/wiki/ACE_STAR_Model_of...

    The model was developed by Dr. Kathleen Stevens at the Academic Center for Evidence-Based Practice located at the University of Texas Health Science Center at San Antonio. [3] The model has been represented in many nursing textbooks , used as part of an intervention to increase EBP competencies, and as a framework for instruments measuring EBP ...

  3. Inception (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Inception_(deep_learning...

    Inception [1] is a family of convolutional neural network (CNN) for computer vision, introduced by researchers at Google in 2014 as GoogLeNet (later renamed Inception v1).). The series was historically important as an early CNN that separates the stem (data ingest), body (data processing), and head (prediction), an architectural design that persists in all modern

  4. Scientific modelling - Wikipedia

    en.wikipedia.org/wiki/Scientific_modelling

    Scientific modelling is an activity that produces models representing empirical objects, phenomena, and physical processes, to make a particular part or feature of the world easier to understand, define, quantify, visualize, or simulate.

  5. Fréchet inception distance - Wikipedia

    en.wikipedia.org/wiki/Fréchet_inception_distance

    The Fréchet inception distance (FID) is a metric used to assess the quality of images created by a generative model, like a generative adversarial network (GAN) [1] or a diffusion model. [ 2 ] [ 3 ] The FID compares the distribution of generated images with the distribution of a set of real images (a "ground truth" set).

  6. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Since its inception, the field of machine learning used both discriminative models and generative models, to model and predict data. Beginning in the late 2000s, the emergence of deep learning drove progress and research in image classification , speech recognition , natural language processing and other tasks.

  7. Scientist–practitioner model - Wikipedia

    en.wikipedia.org/wiki/Scientist–practitioner_model

    That the Boulder Model promotes short-cycle research over longitudinal and more intricate studies that cannot be completed within the timeframe of a training cycle. Thus, that minority of students who do follow a more research-oriented career path are not trained in, or trained to respect, qualitative, longer-term or more complex studies of ...

  8. Models of scientific inquiry - Wikipedia

    en.wikipedia.org/wiki/Models_of_scientific_inquiry

    Models of scientific inquiry have two functions: first, to provide a descriptive account of how scientific inquiry is carried out in practice, and second, to provide an explanatory account of why scientific inquiry succeeds as well as it appears to do in arriving at genuine knowledge.

  9. Healthcare scientist - Wikipedia

    en.wikipedia.org/wiki/Healthcare_scientist

    A healthcare scientist or medical scientist is a scientist working in any of a number of health related disciplines. Healthcare scientists may work directly for health service providers, or in academia or industry. Healthcare scientists typically refers to those contributing directly to clinical services, and not scientists working solely in ...