Harvard University physicists have created a simplified mathematical model to study how neural networks learn, using statistical physics to uncover underlying patterns. The approach, likened to early ...
Abstract: Text summarization plays a vital role in distilling essential information from large volumes of text. While significant progress has been made in English text summarization using deep ...
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 ...
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: Automatic text summarization has the aim to generate a concise version of a text while still preserving its main ideas, using an intelligent system. Developing an automatic text ...
It starts with something small, a text that feels oddly familiar. Maybe it says, "Hey, how are you?" or "Are you coming to the BBQ?" Before you know it, you're in a friendly back-and-forth with ...
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