Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.

Jonathan EnudemeJonathan Enudeme Imagine finding yourself lost in a foreign land where no one speaks English or your native language. The streets are unfamiliar, and every turn leads you deeper into ...

While many approaches have been proposed, most existing methods are based on Recurrent Neural Networks (RNNs) or their variants, focusing on short-term cloud workload prediction without considering or ...

Applications based on long short-term memory (LSTM), a recurrent neural network (RNN) type, are used in 5G networks to ...

Google has recently launched new neural long-term memory modules ... Transformers and Recurrent Neural Networks (RNNs), which demonstrated its ability to process long sequences more efficiently. On ...

Long Short-Term Memory(LSTM) is a particular type of Recurrent Neural Network(RNN) that can retain important information over time using memory cells. This project includes understanding and ...

A research group from the Institute for Research on Next-generation Semiconductor and Sensing Science (IRES²) at Toyohashi ...

Researchers at the Ernst Strüngmann Institute in Frankfurt am Main, Germany, led by Wolf Singer, have made a new discovery in ...