Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...

Graph neural networks (GNNs) have gained traction and have been applied to various graph-based data analysis tasks due to their high performance. However, a major concern is their robustness, ...

Multiphoton microscopy combined with deep learning can rapidly and accurately identify pancreatic neuroendocrine tumors, offering a potential tool for real-time surgical guidance Pancreatic ...

It seems as if not a week goes by in which the artificial intelligence concepts of deep learning and neural networks make it into media headlines, either due to an exciting new use case or in an ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...