First discovered in the 1950s, NGF is now known to direct the growth, maintenance, proliferation and preservation of neurons ...

A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs ...

Abstract: Deep neural networks have demonstrated exceptional performance in extracting task-specific representations from datasets, earning widespread recognition and application. However, the ...

While the exact causes of neurodegenerative brain diseases like Alzheimer's and dementia are still largely unknown, researchers have been able to identify a key characteristic in affected brains: ...

Researchers found that neurons can use fat, not just sugar, to power the brain. When a protein called DDHD2 fails, this process breaks down and leads to serious brain problems. Scientists were able to ...

Scientists have built an artificial neuron that’s so realistic it fires, learns, and responds to chemical signals just like the real thing – a breakthrough that could transform computing, medicine, ...

Abstract: This brief proposes a novel neuron dynamic-growing (NDG) strategy for radial basis function neural networks (RBF NNs). Only one neuron is selected in advance relying on the system initial ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...

“While fully autonomous networks are still in their early stages, this project shows the powerful potential of AI agents – armed with the right data in real-time – to support faster and more accurate ...