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 ...

1 Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia 2 Center of Excellence in Intelligent Engineering Systems (CEIES), King ...

Department of Neurology, Xianyang Hospital of Yan’an University, Xianyang, China Introduction: This study aims to systematically evaluate the diagnostic efficacy of Transformer-based multimodal fusion ...

Abstract: Image captioning is a crucial process that connects text to images. Transformer-based deep learning models have successfully created captions, especially for Arabic. This paper introduces ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

Google AI, in collaboration with the UC Santa Cruz Genomics Institute, has introduced DeepPolisher, a cutting-edge deep learning tool designed to substantially improve the accuracy of genome ...

Abstract: As the population of older adults continues growing, so will the need for cost-effective approaches to early dementia detection. Deep learning approaches using patient speech samples show ...

Accurate short-to-subseasonal streamflow forecasts are becoming crucial for effective water management in an increasingly variable climate. However, streamflow forecast remains challenging over ...