Researchers at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have made a breakthrough in ...

Rationalization: the conclusion that the gains from committing fraud outweigh the possibility of detection ... Analysis techniques using machine learning can look at data that is being updated ...

One key part of Microsoft’s big bet on machine learning is that ... data with each update and detect anomalies on the last piece of data in a series. If you’re using it to analyze batch ...

A machine learning-powered intrusion detection system (IDS) using network behaviour anomaly detection (NBAD) can deal with similar attempts by tracing any atypical event, such as coordinated access ...

Unilever — that's the owner of prominent deodorant makers Axe and Dove — has teamed up with an all-star squad of academics and electronics manufacturers to create a machine learning-powered ...

Machine learning can be used to identify and profile devices on a network. That profile can determine the different features and behaviors of a given device. Automated anomaly detection ...

and see if it could deduce which runners were competitive versus recreational using machine learning. They defined competitive as anyone who had a recent race performance between 5K and marathon ...

Harnessing the power of machine learning, Boston researchers hope to change breast cancer detection techniques for the better. Scientists from Massachusetts General Hospital and MIT’s Computer ...