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 ...

Recent advances in froth flotation optimisation have increasingly leaned on machine learning methodologies to improve process control and enhance mineral recovery. By integrating data‐driven ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...

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