Deep learning has been playing increasingly important roles in intelligence systems for our daily lives, such as computer vision, autonomous car driving, earth observation, etc. Deep learning is ...

We dive into Transformers in Deep Learning, a revolutionary architecture that powers today's cutting-edge models like GPT and BERT. We’ll break down the core concepts behind attention mechanisms, self ...

Kieran Wood, Sven Giegerich, Stephen Roberts and Stefan Zohren introduce the ‘momentum transformer’, an attention-based deep-learning architecture that outperforms benchmark time series momentum and ...

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...