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  2. Dot-probe paradigm - Wikipedia

    en.wikipedia.org/wiki/Dot-probe_paradigm

    The dot-probe paradigm is a test used by cognitive psychologists to assess selective attention.. According to Eysenck, MacLeod & Mathews (1987) and Mathews (2004) the dot-probe task derives directly from research carried out by Christos Halkiopoulos in 1981.

  3. Attentive user interface - Wikipedia

    en.wikipedia.org/wiki/Attentive_user_interface

    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 ...

  4. Attention Is All You Need - Wikipedia

    en.wikipedia.org/wiki/Attention_Is_All_You_Need

    Scaled dot-product attention & self-attention. The use of the scaled dot-product attention and self-attention mechanism instead of an Recurrent neural network or Long short-term memory (which rely on recurrence instead) allow for better performance as described in the following paragraph. The paper described the scaled-dot production as follows:

  5. Gato (DeepMind) - Wikipedia

    en.wikipedia.org/wiki/Gato_(DeepMind)

    Gato is a deep neural network for a range of complex tasks that exhibits multimodality.It can perform tasks such as engaging in a dialogue, playing video games, controlling a robot arm to stack blocks, and more.

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  7. Attention AI experts: The White House wants you - AOL

    www.aol.com/finance/attention-ai-experts-white...

    In a move reminiscent of a wartime recruitment drive, the U.S. government is putting out the call for AI experts and taking steps to fast-track the hiring process. Attention AI experts: The White ...

  8. Attention (machine learning) - Wikipedia

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

    When QKV attention is used as a building block for an autoregressive decoder, and when at training time all input and output matrices have rows, a masked attention variant is used: (,,) = (+) where the mask, is a strictly upper triangular matrix, with zeros on and below the diagonal and in every element above the diagonal.

  9. DeepSeek AI live: Chatbot vanishes in Italy amid claims ... - AOL

    www.aol.com/news/deepseek-ai-live-trump-tech...

    The unusual timing of the Qwen 2.5-Max’s release, on the first day of the Lunar New Year when most Chinese people are off work and with their families, points to the pressure Chinese AI startup ...