Computer Science and Engineering

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.

A Texas A&M assistant professor is working with his students to develop better ways to differentiate between real and computer-generated images.

More than 240 teams from schools across the country participated in the event, which tasked student programmers with developing innovative software.

Texas A&M researchers, along with computer scientists at Intel Labs, have designed a tool to identify the source of errors caused by software updates.

The first-of-its kind, 30-hour event will have 450 student participants from around the world.