A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

Steven Weisberg, a researcher at the University of Texas at Arlington, found that advanced artificial intelligence tools could not uncover a clear link between brain structure and navigation ability ...

Today, serious trading runs on systems. Decisions are written in code. Orders are triggered automatically.

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by ...

More than half of transplant recipients in a large analysis developed chronic graft-versus-host disease, and 15% died from causes other than cancer relapse. Those numbers capture the uneasy truth of ...

Find out how immunotherapy can improve cancer treatment outcomes and the systemic barriers limiting its widespread use.

In the rapidly evolving realm of genetics, the integration of artificial intelligence (AI) has ushered in new perspectives on therapeutic approaches and evolutionary processes. Traditional genetic ...

The Cyber-Physical System (CPS) nowadays relates to many commercialized and popularized technologies such as the Internet of Things (IoT, IIoT), ...

"Sensing Intelligence and Machine Learning" describes the combination of artificial intelligence (AI) and machine learning (ML) approaches with sensor technologies. This fusion improves sensor ...