Vector illustration of an AI-powered drone scanning bridge support pillars for structural inspection, with digital screens showing AI analysis and bridge schematics.

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

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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.

Students walking toward a modern building on the Texas A&M campus.

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 large group of individuals stands on steps in front of an academic building. They wear matching maroon shirts and are all giving a thumbs-up gesture.

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.

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The inaugural Applied AI Symposium at Texas A&M University united distribution industry experts and policy makers to examine how organizations can move artificial intelligence from experimentation to enterprise-wide impact.

A large group of people pose on concrete steps in an outdoor environment, flashing the Aggie “Gig ‘em” thumbs up.

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.

A headshot of Dr. Xin Chen on a maroon background.

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.

Data servers with an orange light.

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

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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.

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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.