For over a decade, neuroscientists have been trying to figure out how neurogenesis (the birth of new neurons) and neuroplasticity (the malleability of neural circuits) work together to reshape how we ...

Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered questions in ...

Image segmentation is a pivotal pre-processing step in computer vision that involves partitioning an image into segments to simplify or change its representation for easier analysis. Over recent ...

VFF-Net introduces three new methodologies: label-wise noise labelling (LWNL), cosine similarity-based contrastive loss (CSCL), and layer grouping (LG), addressing the challenges of applying a forward ...

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 ...

The spark of creativity, that seemingly mysterious capacity to generate novel and valuable ideas, has intrigued humanity for centuries. Once attributed primarily to divine inspiration or innate genius ...