Computer Science and Engineering

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.

A Texas A&M-led research team developed a system that uses machine learning to improve the flow of traffic at intersections.

Current methods of tracking meals can be difficult to maintain. A Texas A&M team aims to develop algorithms that can predict the macronutrient composition of a meal automatically.

A machine learning algorithm developed by Texas A&M researchers could quickly identify life-threatening situations through social media posts.

A $3.6 million grant from the National Institutes of Health will allow the team to create a wrist-worn system that can continuously monitor a user's blood pressure while they are asleep.