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Attentive user interfaces (AUI) are user interfaces that manage the user's attention. For instance, an AUI can manage notifications, [1] deciding when to interrupt the user, the kind of warnings, and the level of detail of the messages presented to the user. Attentive user interfaces, by generating only the relevant information, can in ...
LinkedIn Learning is an American online learning platform. It provides video courses taught by industry experts in software, creative, and business skills. It provides video courses taught by industry experts in software, creative, and business skills.
These multiple feature maps, or sub-maps, contain a large storage base of features. Features such as color, shape, orientation, sound, and movement are stored in these sub-maps [1] [2].When attention is focused at a particular location on the map, the features currently in that position are attended to and are stored in "object files". If the ...
During the deep learning era, attention mechanism was developed to solve similar problems in encoding-decoding. [1]In machine translation, the seq2seq model, as it was proposed in 2014, [24] would encode an input text into a fixed-length vector, which would then be decoded into an output text.
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.
It is the opposite of passive listening, where a listener may be distracted or note critical points to develop a response. It calls for an attentive mind and empathetic concern for the speaker's perspective. [6] The concept was developed in the 1950s by Carl Rogers and Richard Farson. Active listening encloses the communication attribute ...
A recommender system (RecSys), or a recommendation system (sometimes replacing system with terms such as platform, engine, or algorithm), is a subclass of information filtering system that provides suggestions for items that are most pertinent to a particular user.
For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...