When working on projects, architects must quickly turn rough concepts into visual representations. Text-to-image models offer ...

We introduce a biologically inspired bird-flocking experimental framework for text summarization that identifies the most salient sentences using contextual information, sentence position, and ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Abstract: Text summarization, which is the process of making a brief summary of text while preserving its overall meaning, is an important problem in Natural Language Processing (NLP). Automatic ...

Discord servers can be pretty crowded, and it’s easy for your messages to not get attention. Hence, many Discord users use text formatting options to make their messages stand out from the crowd. If ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...

Using text summarization, a long text is provided as input and by automated means a shorter and more concise version is generated (Cai et al., 2021). Text simplification reduces the complexity of a ...

Abstract: An approach for generating short and precise summaries for long text documents is proposed. Lately, the size of information on the internet is increasing. It has become tough for the users ...