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 ...

VisualStudioMagazine: What inspired you do present a session on introducing neural networks using C#? McCaffrey: In addition to being practical and powerful prediction techniques, neural networks form ...

They have managed to build a neural network, use it to solve a tricky problem, and then capture its insights in a relatively simple five-part equation that human scientists can use and understand.

A technical paper titled “Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks” was published by researchers at Purdue University, Indian Institute of Technology (IIT) Madras, ...

In this model, neural networks were shown to form long-term memories and use recent past information to predict future stimuli.

A transfer learning-based graph neural network model using mIF images to predict neoadjuvant immunochemotherapy response in patients with gastrointestinal cancer.

Neural networks uncovered through a longitudinal study could help predict underage drinking risk in teenagers.

Scientists from Tomsk Polytechnic University, together with their colleagues, analyzed various methods of planning experiments to determine the optimal technological parameters of polymer scaffold ...

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 ...

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 well ...