KALAMAZOO, Mich.—Western Michigan University doctoral student Andrew Messecar received an Outstanding Student Poster Award at the 37th North American Molecular Beam Epitaxy Conference (NAMBE 2023) ...

The fundamentals of robotic process automation combined with machine learning capabilities to robotize the mundane tasks, plus learning to do a job even better is what intelligent process ...

Machine learning can help with claims in a number of ways. In addition, multiple ML tools can be used throughout the claims process.

Setting this mindless process in motion lets a mathematical approximation of the task emerge automatically, without human beings having to specify which details matter. With efficient algorithms, well ...

Dascena developed a machine learning algorithm to detect ACS that demonstrated an area under the receiver operating curve (AUROC) of 86% for the detection of ACS, compared to 62% by the GRACE system.

The ability to find otherwise undetectable patterns in complex data with minimal operator intervention makes AI systems an ideal fit for manufacturing operations.

Driverless AI really is able to create and train good machine learning models without requiring machine learning expertise from users.

More information: Xinwei Su et al, Machine learning modeling assisted intelligent process analysis for high - performance virus filtration, Journal of Membrane Science (2025).

Microsoft's Translator Hub , based on the Research unit's Azure-based Translator service, is now commercially available.

Machine learning algorithms need data, so the researchers designed a polymerization process that would quickly and efficiently generate experimental data to feed into the mathematical model.

To try and overcome this Manzano and colleagues set out to see if artificial intelligence— and more specifically machine learning, a subset of the approach in which an algorithm determines ...