After fine-tuning, the VGG16 convolutional neural network outperformed other deep learning models in 2 of 3 key ...

In an era where cloud-native architectures are at the forefront of digital transformation, regulatory compliance has become ...

When visual information enters the brain, it travels through two pathways that process different aspects of the input. For decades, scientists have hypothesized that one of these pathways, the ventral ...

The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological ...

On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 ...

The following is a summary of “Advancement and independent validation of a deep learning-based tool for automated scoring of ...

Radiologists who evaluate CT scans have diagnostic challenges due to the complexity of underlying anatomy and the potential ...

Beyond detection, the platform employs a large language model, specifically GPT-3.5, to recommend context-specific ...

Simulations showed that by using the BGG model, it is possible to alter network dynamics from a vulnerable 4/7 corrupted node ratio to a safer 4/9 distribution through the timely release of backup ...