Artificial Intelligence

A new artificial intelligence tool developed by Texas A&M researchers could support nuclear engineers and operators by providing real-time insights for advanced reactor systems.

New machine learning tools from Texas A&M’s computer science and engineering department reveal when, where and how anglers fish — opening the door to smarter and more sustainable management.  

With the help of a grant from the Office of Naval Research, Dr. Wencheng Jin of Texas A&M is developing AXBeach, a computer model that can predict real-time changes to shorelines during storms.

Researchers from the Urban Resilience AI Lab have created a deep learning framework to rate community resilience and risk based on interdependent factors.

Google recently teamed up with the electrical and computer engineering department at Texas A&M through an on-campus workshop to introduce novel artificial intelligence technology for research.

Dr. Krishna Narayanan and fellow researchers at Texas A&M have developed Encando, an AI platform designed to empower professors and students in college classrooms.

Dr. Wayne Chen is advancing trustworthy AI that can generate novel, feasible engineering designs and transform how engineers discover, create and innovate.

Dr. Zhiwen Fan and a student researcher are leading the charge in 3D learning advancement for AI systems by establishing a popular workshop on the subject.

Collaborative research supported by the WoodNext Foundation aims to autonomize rehabilitation of extreme environments.

A nuclear engineering doctoral student at Texas A&M is building physics-informed, AI-powered frameworks to help automate information gathering and streamline workflows for nuclear research.