Porous media are susceptible to fracture. A deep understanding of crack propagation in porous microstructures remains limited to date, owing to the unacceptably expensive cost of numerical modeling ...

The new iPhone 17 series has finally landed in stores, and this year, it’s more noticeable than ever for one key reason: the switch to aluminum. After two years of extolling the benefits of titanium, ...

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

aElse Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany bDepartment of Medicine I, Faculty ...

Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062, China ...

aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...

Abstract: While convolution and self-attention mechanisms have dominated architectural design in deep learning, this survey examines a fundamental yet understudied primitive: the Hadamard product.

ABSTRACT: Background: Pancreatic cancer is the fourth leading cause of cancer deaths in the United States, and early detection remains a significant challenge. Screening the general population is not ...

Background: The integration of deep learning (DL) and time-lapse imaging technologies offers new possibilities for improving embryo assessment and selection in clinical in vitro Fertilization (IVF).

The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...

This repository houses all material related to my master's course on Deep Learning. The course was done in the first semester of 2025 at Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio). A ...