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  2. Long short-term memory - Wikipedia

    en.wikipedia.org/wiki/Long_short-term_memory

    In theory, classic RNNs can keep track of arbitrary long-term dependencies in the input sequences. The problem with classic RNNs is computational (or practical) in nature: when training a classic RNN using back-propagation, the long-term gradients which are back-propagated can "vanish", meaning they can tend to zero due to very small numbers creeping into the computations, causing the model to ...

  3. Connectionist temporal classification - Wikipedia

    en.wikipedia.org/wiki/Connectionist_temporal...

    Connectionist temporal classification (CTC) is a type of neural network output and associated scoring function, for training recurrent neural networks (RNNs) such as LSTM networks to tackle sequence problems where the timing is variable.

  4. ELMo - Wikipedia

    en.wikipedia.org/wiki/ELMo

    The first forward LSTM would process "bank" in the context of "She went to the", which would allow it to represent the word to be a location that the subject is going towards. The first backward LSTM would process "bank" in the context of "to withdraw money", which would allow it to disambiguate the word as referring to a financial institution.

  5. Long-term memory - Wikipedia

    en.wikipedia.org/wiki/Long-term_memory

    Long-term memory (LTM) is the stage of the Atkinson–Shiffrin memory model in which informative knowledge is held indefinitely. It is defined in contrast to sensory memory, the initial stage, and short-term or working memory, the second stage, which persists for about 18 to 30 seconds.

  6. 30 Christmas Traditions From Around the World - AOL

    www.aol.com/30-christmas-traditions-around-world...

    <i>Caga Tiós</i> on display at the Santa Llúcia Christmas market in Barcelona in 2006. Credit - Greg Gladman—Flickr. C hristmas is one of the most globally celebrated holidays in the world ...

  7. Button batteries pose deadly risks to children. Doctors want ...

    www.aol.com/news/button-batteries-pose-deadly...

    The round batteries, small as buttons and shiny as coins, are prized for the energy they pack at their size. In households, they have become commonplace, powering remote controls, hearing aids ...

  8. Transformer (deep learning architecture) - Wikipedia

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

    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 ...

  9. Study retracted years after it set off an infamous COVID-19 ...

    www.aol.com/news/study-retracted-years-set-off...

    The retracted paper is an example of what happens when studies and the scientific record get politicized, said Ivan Oransky, co-founder of Retraction Watch, a scientific watchdog organization that ...