People whose sleep brain waves register as biologically older than their actual age face a sharply elevated risk of ...

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

Open-Source AI Tools while not widely publicized, are highly regarded within the developer community for their ability to simplify complex tasks ...

More than 20 faculty members and several students from across academic disciplines attended a two-day training workshop on June 4–5 to learn how AI machine-learning skills can assist with their ...

Abstract: The Uniform Resource Locator (URL) is a primary vector for numerous security threats, including phishing, malware propagation, and spam attacks, making URL-based analysis a critical task in ...

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

The Sports Analytics Research Group employs quantitative analysis to give teams the hard numbers they need to perform better ...

Artificial intelligence is increasingly being used in mental health care, from chatbots offering guided conversations to apps ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

For the first time, mission-focused AI and machine learning capabilities for warfighters have been delivered into the Multi-Domain Mission Support System (MD MSS), marking a significant milestone for ...

Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.