Large language models (LLMs), which are the artificial intelligence (AI) systems behind modern chatbots, translation tools, ...

Automatic text summarization seeks to condense source documents into fluent, informative summaries that preserve essential meaning. Two principal approaches have emerged: extractive summarization, ...

Performance of an Artificial Intelligence Foundation Model for Prostate Radiotherapy Segmentation Patients who underwent initial consultation in a thoracic clinic between January 2019 and July 2023 ...

Val Kilmer died in 2025, but fans might still get to see him in 'As Deep as the Grave' using AI technology. Here's what the film director said about the opportunity. “He was the actor I wanted to play ...

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 ...

Google has added a 'Guided Learning' mode in Gemini to promote deeper understanding of complex topics and concepts. It's available for free to all Gemini users. You can upload your course materials, ...

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, ...