Visual Studio Magazine

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 goal of a quantile regression problem is to predict a single numeric ...

Interpretable AI in materials discovery: Uncovering how models make predictions

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has ...
Nature

A neural network based approach for thrust prediction in cold gas propulsion systems

In this paper, we present a machine learning method to accurately predict thrust in a cold gas thruster using a feedforward neural network (FFNN). The model leverages critical operational parameters, ...
Nature

Predicting microbial community structure and temporal dynamics by using graph neural network models

Understanding species-level abundance dynamics in complex microbial communities is key to managing microbial ecosystems, yet it remains a major challenge. In wastewater treatment plants (WWTPs), the ...
SiliconANGLE

DeepMind launches AlphaGenome to predict how DNA mutations affect genes

Alphabet Inc.’s Google DeepMind today introduced AlphaGenome, a new artificial intelligence tool that can comprehensively predict how mutations or variants in human DNA sequences impact gene ...
EurekAlert!

Neural network trained to predict crises in Russian stock market

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 ...