Nature

A lightweight neural network approach for predicting national Gross Domestic Product (LightNet-GDP) with regression benchmarks

Gross Domestic Product (GDP) is one of the most important factors to determine the economic state and performance of a country. The correct prediction of GDP is crucial in the development of the ...
Nature

A simple yet effective approach for predicting disease spread using mathematically-inspired diffusion-informed neural networks

The COVID-19 outbreak has highlighted the importance of mathematical epidemic models like the Susceptible-Infected-Recovered (SIR) model, for understanding disease spread dynamics. However, enhancing ...
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 ...