Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a ...

Machine learning algorithms can be trained with real-world fraud data, allowing the system to classify suspicious fraud cases far more accurately. Related coverage from Tech Reference: ...

This project aimed to critically assess the use of machine learning algorithms for policing, and provide practical recommendations to contribute to the fast-moving debate on policy and governance in ...

Machine Learning (ML) and Deep Learning (DL) algorithms can reduce road accidents ... select the optimal one based on the mean accuracy of 10-fold cross-validation evaluation method.

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors.