Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

The new hybrid model uses machine learning combined with physical principles to accurately predict the fatigue life of magnesium alloys under varying stress conditions, eliminating the need for manual ...

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...

During a talk given at the recent CEDEC event in Yokohama, Japan, development leads within Sony discussed their recent efforts to implement AI and machine learning models to improve efficiency and ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

University of Sheffield researchers developed a machine learning framework to improve coating properties in a roll-to-roll slot die coating process. The work is seen as an initial step toward broader ...