Two people working at a computer.

Dr. Yang Shen is using machine learning and artificial intelligence to understand disease mechanisms and facilitate therapeutics.

A drone in the sky.

Researchers plan to develop flexible, neuron-like nano-devices to add energy-efficient artificial intelligence to energy-hungry applications such as battery-powered miniature drones.

Image of a gaming setup featuring a monitor displaying a colorful industrial scene from a video game. Below the screen, two game controllers are positioned symmetrically.

The Mary Kay O'Connor Process Safety Center and EnerSys Corporation are creating a training platform that simulates a potential pipeline incident using AI and a gaming platform.

A graphic showing a lock on digital technology surface.

A nuclear engineering graduate student is researching how generative artificial intelligence can speed up nuclear science research.

A person looking at a computer screen with a red warning sign.
Research

“ChatGPT” for computer security

March 11, 2025 • 3 min. read

A researcher in the Department of Computer Science and Engineering is developing a security-focused large language model to defend against malware.

Digital illustration of a glowing blue brain set on a circuit board, surrounded by small data cubes and digital elements.
Campus Community

AI for Aggieland

Feb. 25, 2025 • 2 min. read

The Texas A&M University System has purchased an AI supercomputer, which will enable increased speed and complexity in research.

3D illustration of a dental implant being placed in the jaw, surrounded by human teeth.

Drs. Jaesung Lee and Yuxiao Zhou receive prestigious Seed Program Award for advancing smart orthopedic surgery planning.

A robot hand and a human hand touching a digital image.

New research uses AI to improve training of sensorimotor skills in human subjects, with potential applications ranging from performing surgery to perfecting tennis serves.

Three students wearing virtual reality headsets gesture with their hands.

New research at Texas A&M University leverages emerging technology to reshape how we teach and learn.

A data center aisle featuring rows of server racks illuminated by blue lights.

Dr. Joseph Sang-II Kwon has found a way to make hypotheses more accurate by utilizing physics-based modeling with data-driven methods.