Artificial Intelligence

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.

With model steering, Texas A&M researcher Dr. Tianbao Yang and graduate student Xiyuan Wei are using open-source AI models to train better models with much reduced costs.

Civil and environmental engineering faculty and students at Texas A&M utilize cutting-edge advancements to combat fatal flooding and foster resilience in vulnerable communities.

Built by Texas A&M engineering students, this AI-powered robotic dog sees, remembers and responds with human-like precision making it a powerful ally in search-and-rescue missions.

Researchers aim to reduce marine collisions with a new system powered by radar and machine learning.