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 ...
GE HealthCare has received FDA Premarket Authorization for Pristina Recon DL, an innovative 3D mammography reconstruction application. Powered by artificial intelligence (AI), Pristina Recon DL ...
Abstract: Text summarization gives large benefit by converting huge text into easy understandable summaries making it easy to know the main facts in less time. The main two approach of summarization ...
Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
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