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  2. Data, context and interaction - Wikipedia

    en.wikipedia.org/wiki/Data,_context_and_interaction

    Data, context and interaction. Data, context, and interaction (DCI) is a paradigm used in computer software to program systems of communicating objects. Its goals are: To improve the readability of object-oriented code by giving system behavior first-class status; To cleanly separate code for rapidly changing system behavior (what a system does ...

  3. Perceptual computing - Wikipedia

    en.wikipedia.org/wiki/Perceptual_Computing

    The perceptual computer – Per-C – an instantiation of perceptual computing – has the architecture that is depicted in Fig. 1 [2]– [6]. It consists of three components: encoder, CWW engine and decoder. Perceptions – words – activate the Per-C and are the Per-C output (along with data); so, it is possible for a human to interact with ...

  4. Digital Cinema Initiatives - Wikipedia

    en.wikipedia.org/wiki/Digital_Cinema_Initiatives

    Digital Cinema Initiatives, LLC (DCI) is a consortium of major motion picture studios, formed to establish specifications for a common systems architecture for digital cinema systems. The organization was formed in March 2002 by Metro-Goldwyn-Mayer, [a] Paramount Pictures, Sony Pictures, 20th Century Studios, [b] Universal Studios, Walt Disney ...

  5. Transformer (deep learning architecture) - Wikipedia

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

    Machine learningand data mining. A standard Transformer architecture, showing on the left an encoder, and on the right a decoder. Note: it uses the pre-LN convention, which is different from the post-LN convention used in the original 2017 Transformer. A transformer is a deep learning architecture developed by researchers at Google and based on ...

  6. Neural decoding - Wikipedia

    en.wikipedia.org/wiki/Neural_decoding

    Neural decoding. Neural decoding is a neuroscience field concerned with the hypothetical reconstruction of sensory and other stimuli from information that has already been encoded and represented in the brain by networks of neurons. [1] Reconstruction refers to the ability of the researcher to predict what sensory stimuli the subject is ...

  7. Brain–computer interface - Wikipedia

    en.wikipedia.org/wiki/Brain–computer_interface

    Other laboratories that have developed BCIs and algorithms that decode neuron signals include John Donoghue at the Carney Institute for Brain Science at Brown University, Andrew Schwartz at the University of Pittsburgh, and Richard Andersen at Caltech. These researchers produced working BCIs using recorded signals from far fewer neurons than ...

  8. Transcoding - Wikipedia

    en.wikipedia.org/wiki/Transcoding

    Transcoding is the direct digital-to-digital conversion of one encoding to another, [1] such as for video data files, audio files (e.g., MP3, WAV), or character encoding (e.g., UTF-8, ISO/IEC 8859). This is usually done in cases where a target device (or workflow) does not support the format or has limited storage capacity that mandates a ...

  9. Source–message–channel–receiver model of communication

    en.wikipedia.org/wiki/Source–message–channel...

    The channel is the means used to send the message. The receiver is the audience for whom the message is intended. They have to decode it to understand it. [4] [30] Despite the emphasis on only four basic components, Berlo initially identifies a total of six components. The two additional components are encoder and decoder. [31]