Soft sensors, also known as virtual sensors, are software that can process hundreds of measurements in combination. Plant managers who want to add soft sensors may be overwhelmed by the scope of ...

Data scientists use dimensionality reduction in machine learning models to remove irrelevant features from busy datasets.

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...

New model extracts stiffness and fluidity from AFM data in minutes, enabling fast, accurate mechanical characterization of ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

The global shift toward digital banking has been dramatic, with the volume of cashless transactions increasing year over year. While this growth signals progress in financial technology, it has also ...

Forget big data sets and giant models; a new machine learning architecture aces logic puzzles on minuscule training and resources, threatening to change machine intelligence forever, finds Satyen K.

Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that the new tool makes the models more accurate at both the global and ...