artificial intelligence

Texas A&M and Arizona State University researchers will develop artificial intelligence algorithms to predict fatigue states using human breath.

The university is among 16 institutions accepted into an artificial intelligence ethics initiative backed by the National Humanities Center (NHC) and Google.

A Texas A&M researcher will lead a team tasked with developing deep-learning methods to detect telltale signs of the disease lurking within images produced by MRIs and PET scans.

Researchers at Texas A&M are determining if it's possible for semi-autonomous vehicles to interpret situations in a way resembling the human decision-making process.

The new Texas A&M initiative brings together an interdisciplinary group of experts to use data for social healing, equity and a more inclusive future.

Texas A&M associate professor Thomas Ferris is working on a U.S. Army Futures Command project to integrate automation that will support human crew members in future combat ground vehicle systems.

Texas A&M civil engineering researchers are using a deep learning model to forecast the growth of COVID-19 cases.

A Texas A&M team from the Department of Computer Science and Engineering is participating in a challenge to find effective antibodies for secondary infections.

Leaders from Verily, Blue Cross Blue Shield and Texas A&M explained why rural America will be home to the greatest healthcare technology innovations in the near future.

Kernel methods are used for pattern recognition in machine learning to make them more adept and applicable to the constantly changing world of technology.