Discover seven practical Windows 11 AI features for 2026, from Copilot and Live Captions translation to Recall, Studio ...

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 ...

I spent three weeks testing no-code AI app builders after watching demos that promised perfect apps from single sentences.

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, ...

Students call it hypocritical. A senior at Northeastern University demanded her tuition back. But instructors say generative A.I. tools make them better at their jobs. By Kashmir Hill In February, ...

Sometime in the 1960s, hypertext pioneer Ted Nelson envisioned deep linking to specific pieces of text as a core feature of his proposed Project Xanadu system. (My first exposure to Xanadu came in the ...

ABSTRACT: The deluge of digital information in Liberia necessitates efficient content consumption. LbrBart, a proposed text summarization tool, is specifically designed to cater to the needs of ...

Automated text summarization (ATS) is crucial for collecting specialized, domain-specific information. Zero-shot learning (ZSL) allows large language models (LLMs) to respond to prompts on information ...