Artificial Intelligence

A Texas A&M Initiative for Connected Intelligence (TICI) workshop is helping close the gap between academia and industry by enabling cross-field collaboration and innovation.

Dr. Xin Chen in Texas A&M’s electrical and computer engineering department earned the prestigious NSF CAREER Award and funding for his work on AI-based control for power grids.

Texas A&M chemical engineering researchers have analyzed common causes of fires in data centers and identified ways to mitigate the growing risk.

As large data center demands surge, Texas A&M researchers are creating a multidisciplinary platform where industry leaders, engineers, researchers and students can come together to tackle challenges in Texas’ power grid through collaborative workshops.

A recent publication from Texas A&M Engineering researchers shows that in-sensor intelligence could increase the speed of data analysis and lead to a future where seeing becomes thinking.

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.