Prof. Jiang Bin's research team at the University of Science and Technology of China (USTC) have developed a universal field-induced recursively embedded atom neural network (FIREANN) model, which can ...

A machine learning-powered simulation is giving researchers a new window into the processes that create some of the universe’s heaviest elements.

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...