Artificial Intelligence

Researchers are developing Intelligence Augmentation, a comprehensive framework that integrates AI and human decision-making into process safety systems.

Texas A&M researchers are using AI to improve the management of disasters like hurricanes before, during and after the events.

Dr. Yang Liu, a professor in the Department of Nuclear Engineering, received a Distinguished Early Career Award from the U.S. Department of Energy for a proposal to investigate the use of machine learning in designing and understanding new nuclear reactors.

Dr. Le Xie and fellow researchers are researching the capabilities and limitations of large language models to simplify the job of power engineers.

Artificial intelligence can aid us in growing plants without the need for soil, according to new doctoral research from the electrical and computer engineering department.

Dr. Nitesh Saxena is teaming up with the Texas A&M Engineering Experiment Station and Rutgers University to create software that could stop voice-control mischief in manufacturing settings.

Dr. Mohsen Taheri-Andani co-leads a new center aimed at leveraging scientific machine learning in materials design and discovery via metal additive manufacturing.

Dr. Joseph Sang-Il Kwon combines machine learning with chemical engineering to streamline the drug manufacturing process, leading to cost-effective, higher-quality medicine.

Dr. Le Xie was invited to advise the White House Office of Science and Technology Policy on the responsible development of artificial intelligence in clean energy transition.

Dr. Mladen Kezunovic and his team are combining big data and machine learning to predict outages and help consumers prepare for loss of power.