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 ...

The rapid evolution of neural network methodologies has significantly improved the prediction of respiratory motion, which is critical for the precision of radiotherapy and robotic-assisted ...

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

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, ...

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 ...

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.

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

Understanding what is happening inside the “black box” of large protein models could help researchers choose better models ...

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 ...

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