Discovering new drugs is a complicated, time-consuming, costly, risky and failure-prone process. However, about 80% of the drugs that have been approved so far are targeted at protein targets, and 99% ...

Researchers in China have applied a machine learning technology based on temporal convolutional networks in PV power forecasting for the first time. The new model reportedly outperforms similar 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 ...