User and entity behavior analytics can become a foundational tool for keeping pace with cybersecurity threats in the age of ...

Sarah Alnegheimish's research interests reside at the intersection of machine learning and systems engineering. Her objective ...

A "fine-tuned" artificial intelligence (AI) tool shows promise for objective evaluation of patients with facial palsy, ...

Machine learning can prove ideal for anomaly detection throughout the company network. Here are three key scenarios where this can be put to good use “Prevention is the daughter of intelligence,” said ...

A University of Cincinnati study found machine learning models can aid in the automation and detection of abnormal brain activity sometimes referred to as a "brain tsunami." UC's Jed Hartings ...

Despite all of the safeguards and fraud detection systems in place ... respond to the latest threats in real time. Advanced machine learning models perfectly fit the bill. By ingesting and ...

Created by Mingda Li and colleagues at the Massachusetts Institute of Technology, the device employs a machine learning algorithm to process data, allowing it to build up accurate maps of sources ...

Thankfully, we have an ace up our sleeves in the form of artificial intelligence (AI) and machine learning ... problem through deep learning that takes anomaly detection to an entirely new ...