"Summaries aren’t a replacement for journalism: they can’t exist without it." The Wall Street Journal, Bloomberg, and Yahoo ...

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto ...

An international team led by Innsbruck quantum physicist Peter Zoller, together with the US company QuEra Computing, has ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, ...

We challenged AI helpers to decode legal contracts, simplify medical research, speed-read a novel and make sense of Trump ...

In this study, we propose a Star architecture based model for extractive summarization (StarSum), that takes advantage of self-attention strategy based Transformer and star-shaped structure, models ...

Abstract: This project focused on using clinical text data from the PubMed dataset to train transformer models and deep learning models for text summarization. The primary goal was to develop a system ...

This is the same model OpenAI uses for prediction, summarization, question answering, and more. This article explores the architecture of Transformer ... These nodes use computational power ...