Air quality prediction has emerged as a pivotal application of neural networks, integrating vast spatiotemporal datasets to forecast concentrations of particulate matter and other pollutants ...

The Data Science Lab Neural Network Quantile Regression Using C# Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The ...

The application of neural networks in flight safety prediction represents a significant advancement in aviation risk management. By harnessing the power of deep learning architectures, researchers ...

Sierra Space says it can predict—with higher accuracy than conventional methods—the locations of space debris, using “physics-informed neural networks” running on Nvidia graphics ...

Now, researchers are using artificial intelligence and the connectome -- a map of neurons and their connections created from brain tissue -- to predict the role of neurons in the living brain.

A team from Stanford Medicine has developed AI-powered digital twins of the brain, trained on large datasets of brain activity. These models predict neural responses to new stimuli, offering profound ...

Economists from HSE University have developed a neural network model that can predict the onset of a short-term stock market crisis with over 83% accuracy, one day in advance. The model performs ...

Researchers discuss a novel method to predict biological aging using a deep neural network based on pathways of steroidogenesis.

The curious minds at ColdFusion examine how neural networks are revolutionizing the way we interact with AI.