Computer Science and Engineering

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

The National Science Foundation awarded a $1 million grant to a Texas A&M team.

Texas A&M researchers have identified the properties needed to prove that bitcoin and other related cryptographic protocols are secure and safe to use.

Texas A&M researchers have designed mechanisms to counter the vulnerabilities in push-notification based systems.

After a significant increase in the number of cyberattacks this year, Texas A&M experts explain what malware is and what can be done to better protect these systems from future attacks.

Texas A&M University, University of Illinois at Urbana-Champaign and The University of Texas at Austin will build a $5 million prototype for the National Science Foundation.

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.

Two Texas A&M students are part of a team recognized for its innovative solution to prevent autonomous military vehicles from cyberattacks.

Researchers are using machine learning to find and extract the main features of large data sets.

Texas A&M researchers have developed a deep-learning algorithm that can denoise images to reveal otherwise invisible details.