Artificial Intelligence

Dr. Krishna Narayanan discusses teaching excellence and being selected to receive one of the highest faculty honors at Texas A&M University.

Researchers and industry professionals shared ideas and discussed how artificial intelligence is transforming nuclear engineering during a two-day summit at Texas A&M.

As electricity demand surges, Texas A&M researchers are developing AI-powered technologies to help grid operators manage growing complexity and maintain a reliable power system.

A new National Science Foundation award will fund free, open software that uses machine learning to answer a question every materials scientist asks.

Researchers from the Zachry Department of Civil and Environmental Engineering are working to improve community resilience against hurricanes, from preparation to recovery.

An American Society of Mechanical Engineers honor recognizes research advancing artificial intelligence for computational design at Texas A&M.

The Amazon Research Award provides Arash Noshadravan with funding and resources to develop a reliable AI inspection platform that accelerates inspections of vital infrastructure.

High-fidelity nuclear reactor simulations can require substantial computing power, especially when conditions change over time, but machine learning could make these simulations faster while maintaining accuracy.

A state-funded initiative will provide Texas A&M researchers, students and collaborators with access to a secure, next-generation AI computing environment designed to support increasingly complex research and innovation.

A National Science Foundation Engineering Research Center program creates opportunities for educators and undergraduates to explore advances in robotic manipulation, intelligent control systems and next-generation human-robot collaboration at Texas A&M.